Senior Python Engineer Department: Data & AI Employment Type: Permanent - Full Time Location: UK - London Reporting To: Nick Petzold Description We are looking for a Senior Python Engineer to join our Data & AI business unit in London, focused on delivering high-quality, production-ready microservices that enrich and model data for underwriting applications. This role combines hands on engineering with technical leadership, including responsibility for system design, architectural decisions, and cloud infrastructure provisioning. You'll work closely with engineers, product managers, and data scientists to implement features, integrate data sources, and ensure services are reliable, observable, and efficient. This is a hands on role ideal for someone who thrives on writing clean, maintainable code, while also shaping the technical direction of the systems they build. About the role Design, develop, and maintain Python microservices that drive data enrichment and modelling pipelines. Lead system design and architectural decisions, influencing the direction of new and existing services. Provision and manage cloud infrastructure using Terraform, ensuring resilient and scalable deployments. Build and maintain APIs to expose enriched datasets and model-generated insights. Translate technical specifications into clean, testable, and scalable production code. Work closely with cross functional teams to deliver features on time and to a high standard. Write unit and integration tests to maintain reliability and service correctness. Monitor, troubleshoot, and continuously improve production services. Produce clear, structured documentation for systems, architecture, and processes. Mentor junior engineers through code reviews, best practice guidance, and knowledge sharing. About you Strong execution focus with the ability to write clean, maintainable, and high quality Python code. Proven experience leading system design, making sound architectural trade offs, and guiding technical direction. Hands on experience with Infrastructure as Code, particularly Terraform. Ability to assess when to implement simple versus more complex solutions, balancing scalability with practicality. Clear, consistent communicator-comfortable collaborating in remote and asynchronous environments. Skilled at working independently, taking full ownership of services, and contributing effectively to shared codebases. 6+ years of professional Python development, including building well documented RESTful APIs (FastAPI, Flask). Strong understanding of cloud platforms (Azure or AWS) and infrastructure provisioning. Experience designing and building distributed, asynchronous microservices using message brokers (e.g., Azure Service Bus). Solid grasp of testing practices and CI/CD pipelines, including writing YAML based workflows. Proficiency with asynchronous programming, containerized deployments (Docker), and modern service architectures. Experience designing or building services that orchestrate AI agents using frameworks like LangChain. Bonus: Experience with Databricks and/or knowledge of the insurance domain. Core Values Love what you do: We show up each day ready to take on the world. Our passion and intensity set us apart and makes the difference to our colleagues, customers, brokers and carriers. Challenge everything: We're never afraid to question the way that things are done and we constantly challenge ourselves and others to make things better. Have fun, be good: Insurance is a serious business, but we don't take ourselves too seriously. We make it fun to work at CFC, we welcome all viewpoints, and we treat everyone how we would expect to be treated.
Mar 01, 2026
Full time
Senior Python Engineer Department: Data & AI Employment Type: Permanent - Full Time Location: UK - London Reporting To: Nick Petzold Description We are looking for a Senior Python Engineer to join our Data & AI business unit in London, focused on delivering high-quality, production-ready microservices that enrich and model data for underwriting applications. This role combines hands on engineering with technical leadership, including responsibility for system design, architectural decisions, and cloud infrastructure provisioning. You'll work closely with engineers, product managers, and data scientists to implement features, integrate data sources, and ensure services are reliable, observable, and efficient. This is a hands on role ideal for someone who thrives on writing clean, maintainable code, while also shaping the technical direction of the systems they build. About the role Design, develop, and maintain Python microservices that drive data enrichment and modelling pipelines. Lead system design and architectural decisions, influencing the direction of new and existing services. Provision and manage cloud infrastructure using Terraform, ensuring resilient and scalable deployments. Build and maintain APIs to expose enriched datasets and model-generated insights. Translate technical specifications into clean, testable, and scalable production code. Work closely with cross functional teams to deliver features on time and to a high standard. Write unit and integration tests to maintain reliability and service correctness. Monitor, troubleshoot, and continuously improve production services. Produce clear, structured documentation for systems, architecture, and processes. Mentor junior engineers through code reviews, best practice guidance, and knowledge sharing. About you Strong execution focus with the ability to write clean, maintainable, and high quality Python code. Proven experience leading system design, making sound architectural trade offs, and guiding technical direction. Hands on experience with Infrastructure as Code, particularly Terraform. Ability to assess when to implement simple versus more complex solutions, balancing scalability with practicality. Clear, consistent communicator-comfortable collaborating in remote and asynchronous environments. Skilled at working independently, taking full ownership of services, and contributing effectively to shared codebases. 6+ years of professional Python development, including building well documented RESTful APIs (FastAPI, Flask). Strong understanding of cloud platforms (Azure or AWS) and infrastructure provisioning. Experience designing and building distributed, asynchronous microservices using message brokers (e.g., Azure Service Bus). Solid grasp of testing practices and CI/CD pipelines, including writing YAML based workflows. Proficiency with asynchronous programming, containerized deployments (Docker), and modern service architectures. Experience designing or building services that orchestrate AI agents using frameworks like LangChain. Bonus: Experience with Databricks and/or knowledge of the insurance domain. Core Values Love what you do: We show up each day ready to take on the world. Our passion and intensity set us apart and makes the difference to our colleagues, customers, brokers and carriers. Challenge everything: We're never afraid to question the way that things are done and we constantly challenge ourselves and others to make things better. Have fun, be good: Insurance is a serious business, but we don't take ourselves too seriously. We make it fun to work at CFC, we welcome all viewpoints, and we treat everyone how we would expect to be treated.
At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. YOUR ROLE Join a dynamic and growing team of analytics and AI specialists united by a mission to deliver end to end transformations that drive tangible business value. As an Analytics and Insights Managing Consultant you will own flagship projects, help shape enterprise transformation, and execute innovative solutions to address the complex challenges of our clients. In this role you will play a key role in: Leading & delivering End to End Data & Analytics Transformations: Lead the strategic direction and execution of complex data and AI solutions, applying knowledge of scaled frameworks (e.g. Agile/SAFe) to ensure the successful deployment of cost effective, scalable analytics and BI solutions. Designing & Optimising Data & AI Solutions: Lead and collaborate with other technical experts on platform design, focusing on pipeline automation with big data and leveraging Gen AI tools to optimise performance through enterprise data platforms. Delivering strategic advisory: Act as a trusted advisor to C level stakeholders, providing insights that bridge the gap between technical capabilities and business goals. Crafting compelling user experiences: Drive the development of user centred design and storytelling to deliver impactful Gen AI/BI, WebApp and data product interfaces, ensuring alignment with UI/UX design principles and UAT processes. Managing Stakeholder and Project Delivery: Work closely with stakeholders to govern project progress, and report to stakeholders and account lead on opportunities, risks, and budget management. Fostering capability building: Empower teams through coaching, training, and mentoring to enhance organisational data and AI competencies. This role also provides opportunities to contribute to the broader business through: Business Development: Leading or contributing to proposals, bids, and RFP responses, as well as proposition development and hosting client events. Internal Initiatives: Supporting practice development, operational excellence, recruitment, team activities, and thought leadership via whitepapers and campaign development. Learning & Development: Enhancing skills through certifications, training, and personal career growth aligned with the company's strategic focus. YOUR PROFILE We are seeking an ideal candidate with a blend of technical expertise, consulting acumen, and emerging leadership skills. The ideal candidate will demonstrate many of the following qualities: Consulting Experience: Currently working in a major Consulting firm or in industry with a Consulting background. Act as a trusted advisor to senior stakeholders and play a key role in designing and delivering complex data and AI solutions and articulating their impact. Demonstrate capability in agile methodologies, governance, and multi workstream leadership. Commercial acumen, including proposal writing and project financials. Ability to simplify the complex and story tell to show outcomes as a product of business and technology transformation with data & AI. Scaled Agile Delivery Excellence: Experience leading large scale Agile delivery of complex data & AI programmes, with proven ability to deploy at enterprise level using frameworks such as SAFe, LeSS, or equivalent (Agile/SAFe certification desirable). Expert at embedding scaled Agile ways of working across multi-disciplinary teams, aligning product, data engineering, AI/ML, and business stakeholders to accelerate delivery, increase adaptability, and maximise value realisation. Expertise in designing and delivering enterprise data platforms, with hands on experience across Databricks, Microsoft Fabric, Informatica, dbt or Snowflake. Led and collaborated with cross functional technical teams on platform design, driving pipeline automation, optimising performance, and leveraging GenAI capabilities to unlock value from big data at scale. Business Relationship: Confident in engaging senior stakeholders through clear and compelling updates, effectively managing expectations while proactively highlighting risks, dependencies, and opportunities to drive informed decision making. Developing ability to cultivate and sustain relationships with senior executives. Actively participates in Industry networks owning your own relationships and building your profile externally. An passion that is contagious for your chosen Industries. Desired skills: Demonstrated in depth knowledge and proven expertise in the Consumer Product & Retail or Energy and Utilities sectors Experience in creating reusable assets to drive value with clients and creating 'go to market' strategies to successfully implement with clients. Agile or SAFe certified (or similar). Experience in data ingestion, integration, governance, and solution design. Familiarity with data quality frameworks, observability tools, and automation. WHAT YOU'LL LOVE ABOUT WORKING HERE? As a Managing Consultant, you will have the opportunity to work at the forefront of AI and analytics innovation, contributing to cutting edge projects that shape industries. Your leadership will make a tangible impact on clients' digital transformations while advancing your own career in a collaborative and inspiring environment. We are delighted to have received the "Glassdoor Best Places to work UK" accolade for 5 consecutive years. To see what it's like to work at Capgemini Invent, visit our Glassdoor page. DIVERSITY AND INCLUSION At Capgemini we don't just believe in Diversity & Inclusion, we actively go out to making it a working reality. Driven by our core values and Active Inclusion Campaign, we build environments where you can bring your whole self to work. We aim to build an environment where employees can enjoy a positive work life balance. We embed hybrid working in all that we do and make flexible working arrangements the day to day reality for our people. All UK employees are eligible to request flexible working arrangements. Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce as a critical component for us to achieve our organisational ambitions. To help support wellbeing we have trained 'Mental Health Champions' across each of our business areas. We have also invested in wellbeing apps such as Thrive and Peppy. CSR: We're also focused on using tech to have a positive social impact. So, we're working to reduce our own carbon footprint and improve everyone's access to a digital world. In fact, we were even named as one of the world's most ethical companies by the Ethisphere Institute for the 10th year. When you join Capgemini, you'll join a team that does the right thing. Whilst you will have London, Manchester or Glasgow as an office base location, you must be fully flexible in terms of assignment location, as these roles may involve periods of time away from home at short notice. We offer a remuneration package which includes flexible benefits options for you to choose to suit your own personal circumstances and a variable element dependent grade and on company and personal performance. ABOUT CAPGEMINI Capgemini is a global business and technology transformation partner, helping organisations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 350,000 team members in more than 50 countries. With its strong over 55 year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end to end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of €22.1 billion.
Feb 28, 2026
Full time
At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. YOUR ROLE Join a dynamic and growing team of analytics and AI specialists united by a mission to deliver end to end transformations that drive tangible business value. As an Analytics and Insights Managing Consultant you will own flagship projects, help shape enterprise transformation, and execute innovative solutions to address the complex challenges of our clients. In this role you will play a key role in: Leading & delivering End to End Data & Analytics Transformations: Lead the strategic direction and execution of complex data and AI solutions, applying knowledge of scaled frameworks (e.g. Agile/SAFe) to ensure the successful deployment of cost effective, scalable analytics and BI solutions. Designing & Optimising Data & AI Solutions: Lead and collaborate with other technical experts on platform design, focusing on pipeline automation with big data and leveraging Gen AI tools to optimise performance through enterprise data platforms. Delivering strategic advisory: Act as a trusted advisor to C level stakeholders, providing insights that bridge the gap between technical capabilities and business goals. Crafting compelling user experiences: Drive the development of user centred design and storytelling to deliver impactful Gen AI/BI, WebApp and data product interfaces, ensuring alignment with UI/UX design principles and UAT processes. Managing Stakeholder and Project Delivery: Work closely with stakeholders to govern project progress, and report to stakeholders and account lead on opportunities, risks, and budget management. Fostering capability building: Empower teams through coaching, training, and mentoring to enhance organisational data and AI competencies. This role also provides opportunities to contribute to the broader business through: Business Development: Leading or contributing to proposals, bids, and RFP responses, as well as proposition development and hosting client events. Internal Initiatives: Supporting practice development, operational excellence, recruitment, team activities, and thought leadership via whitepapers and campaign development. Learning & Development: Enhancing skills through certifications, training, and personal career growth aligned with the company's strategic focus. YOUR PROFILE We are seeking an ideal candidate with a blend of technical expertise, consulting acumen, and emerging leadership skills. The ideal candidate will demonstrate many of the following qualities: Consulting Experience: Currently working in a major Consulting firm or in industry with a Consulting background. Act as a trusted advisor to senior stakeholders and play a key role in designing and delivering complex data and AI solutions and articulating their impact. Demonstrate capability in agile methodologies, governance, and multi workstream leadership. Commercial acumen, including proposal writing and project financials. Ability to simplify the complex and story tell to show outcomes as a product of business and technology transformation with data & AI. Scaled Agile Delivery Excellence: Experience leading large scale Agile delivery of complex data & AI programmes, with proven ability to deploy at enterprise level using frameworks such as SAFe, LeSS, or equivalent (Agile/SAFe certification desirable). Expert at embedding scaled Agile ways of working across multi-disciplinary teams, aligning product, data engineering, AI/ML, and business stakeholders to accelerate delivery, increase adaptability, and maximise value realisation. Expertise in designing and delivering enterprise data platforms, with hands on experience across Databricks, Microsoft Fabric, Informatica, dbt or Snowflake. Led and collaborated with cross functional technical teams on platform design, driving pipeline automation, optimising performance, and leveraging GenAI capabilities to unlock value from big data at scale. Business Relationship: Confident in engaging senior stakeholders through clear and compelling updates, effectively managing expectations while proactively highlighting risks, dependencies, and opportunities to drive informed decision making. Developing ability to cultivate and sustain relationships with senior executives. Actively participates in Industry networks owning your own relationships and building your profile externally. An passion that is contagious for your chosen Industries. Desired skills: Demonstrated in depth knowledge and proven expertise in the Consumer Product & Retail or Energy and Utilities sectors Experience in creating reusable assets to drive value with clients and creating 'go to market' strategies to successfully implement with clients. Agile or SAFe certified (or similar). Experience in data ingestion, integration, governance, and solution design. Familiarity with data quality frameworks, observability tools, and automation. WHAT YOU'LL LOVE ABOUT WORKING HERE? As a Managing Consultant, you will have the opportunity to work at the forefront of AI and analytics innovation, contributing to cutting edge projects that shape industries. Your leadership will make a tangible impact on clients' digital transformations while advancing your own career in a collaborative and inspiring environment. We are delighted to have received the "Glassdoor Best Places to work UK" accolade for 5 consecutive years. To see what it's like to work at Capgemini Invent, visit our Glassdoor page. DIVERSITY AND INCLUSION At Capgemini we don't just believe in Diversity & Inclusion, we actively go out to making it a working reality. Driven by our core values and Active Inclusion Campaign, we build environments where you can bring your whole self to work. We aim to build an environment where employees can enjoy a positive work life balance. We embed hybrid working in all that we do and make flexible working arrangements the day to day reality for our people. All UK employees are eligible to request flexible working arrangements. Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce as a critical component for us to achieve our organisational ambitions. To help support wellbeing we have trained 'Mental Health Champions' across each of our business areas. We have also invested in wellbeing apps such as Thrive and Peppy. CSR: We're also focused on using tech to have a positive social impact. So, we're working to reduce our own carbon footprint and improve everyone's access to a digital world. In fact, we were even named as one of the world's most ethical companies by the Ethisphere Institute for the 10th year. When you join Capgemini, you'll join a team that does the right thing. Whilst you will have London, Manchester or Glasgow as an office base location, you must be fully flexible in terms of assignment location, as these roles may involve periods of time away from home at short notice. We offer a remuneration package which includes flexible benefits options for you to choose to suit your own personal circumstances and a variable element dependent grade and on company and personal performance. ABOUT CAPGEMINI Capgemini is a global business and technology transformation partner, helping organisations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 350,000 team members in more than 50 countries. With its strong over 55 year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end to end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of €22.1 billion.
A total cash package of up to £110,000 comprising of a base salary of £82,005 We are a dynamic consulting firm, focused on delivering sustainable change. We ensure our clients succeed in their long-term goals by helping them turn their strategy into action through exceptional delivery and a commitment to establishing a culture of change. Clients like what we do and how we work, and we are looking for people to join the Moorhouse team. We pride ourselves on being proactive, collaborative, and straightforward team players. We work efficiently and collaboratively as a team and both honesty and integrity are key to this. In return you will be part of a supportive and high-performing team that shares the workload, looks after each other and celebrates success together. You can be assured of an exciting opportunity that will help you grow your skills through meaningful challenges and equip you with skills, experience and knowledge that can help organisations respond to the turbulence, change and opportunity that will define the future of work. We encourage behaviours that promote transparency, collaboration and achievement of shared goals. Data Science at Moorhouse Our Data Science capability is a growing and strategically significant part of Moorhouse. We help organisations unlock the value of their data by combining deep technical expertise with the consulting skills needed to drive real-world change. Our team works across the full data and analytics lifecycle,from defining strategy and enabling data-driven cultures, to building advanced analytical models and delivering digital products that embed predictive insight into everyday decision-making. We partner with clients across multiple sectors, including healthcare, energy and utilities, life sciences, financial services and TMT. Much of our work today focuses on developing and deploying analytical tools and web-based products that deliver forecasting, optimisation, and automated insight. Our projects span machine learning, statistical modelling, data engineering, data visualisation and MLOps, always with a focus on driving tangible business outcomes. As demand for digital and AI-enabled transformation continues to grow, our Data Science team is expandingand contributing to some of the most impactful programmes across the firm. Responsibilities Why join the Data Science team at Moorhouse? We are seeking a hands-on, technically focused Manager to join the Data Science function, who will lead the delivery of complex data science and digital product projects. While there will be opportunities to contribute to business growth and propositions, the key component of this role is strong technical delivery : architecting solutions, guiding teams, and ensuring the highest-quality output. This role complements another Manager in the team who is focused on proposition development and commercial growth. You will bring the deep engineering and delivery expertise necessary to ensure our solutions are robust, scalable and production-ready. In this role, you will have the opportunity to: Lead complex end-to-end delivery of data science and digital product solutions Lead the delivery of high-impact projects involving machine learning, forecasting, optimisation and data-driven digital products. Design and architect analytical solutions, including modelling approaches, data pipelines, integration patterns and deployment frameworks. Promote delivery excellence, engineering discipline and best-practice coding standards across teams. Be the technical leadership on DevOps/MLOps Implement and embed CI/CD pipelines, automated testing frameworks, containerisation and monitoring. Guide cloud architecture and infrastructure-as-code approaches (AWS, Azure, GCP). Encourage best practices for operationalising machine learning models at scale. Lead multidisciplinary teams with confidence Coach, mentor and support junior team members, ensuring they deliver high-quality technical work. Foster engineering maturity and support the development of technical capability across the team. Engage with senior stakeholders Translate technical detail into actionable insights and recommendations for clients. Build trusted relationships with leaders across multiple sectors. Support commercial and proposition development Provide technical input into proposals and bids. Contribute to refining our Data Science and AI propositions. Essential skills What are we looking for? We are seeking candidates with 6-8+ years of experience in data science, data engineering, analytics or AI product delivery, with a strong emphasis on hands-on technical leadership. Deep Technical Delivery Expertise Advanced proficiency in Python and SQL ; experience designing and delivering production-grade solutions. Operationalisation of machine learning models, forecasting tools, optimisation algorithms or analytical applications. Experience designing data pipelines, ETL workflows, APIs and data integration approaches. Automated testing (unit, integration, data validation, ML testing) Infrastructure-as-code (Terraform, ARM, CloudFormation) Monitoring and observability Experience with cloud ecosystems (Azure, AWS, GCP, Snowflake, Databricks). Strong understanding of software engineering fundamentals and modern development practices. Leadership & Consulting Capability Proven ability to lead delivery of complex technical programmes. Strong people leadership and mentoring capabilities. Excellent communication skills and ability to engage senior stakeholders. Collaborative mindset and commitment to high-quality client delivery. What we can offer you: A total cash package of up to £110,000 comprising of a base salary of £82,005 and a combination of personal and company bonuses that are paid every six months. 25 days annual leave increasing by one day for every full year of service to a maximum of 30 days with the option to buy or sell up to five days of annual leave per year. Life Assurance, Private Medical Insurance, Group Personal Pension Scheme and a range of discounted lifestyle and well-being benefits through Perkbox. A culture where you will not need to compete with others because of promotion quotas or the typical distribution curves that govern performance management in other organisations. We recognise and reward performance consistently and transparently across the firm so that everyone knows where they stand. We offer flexible working arrangements with our offices near Liverpool Street although you can expect to spend some time as part of a team onUKclient sites.Wesupport flexibility wherever possible. Moorhouse is proud to be an equal opportunities employer, and our values underpin a working environment that is inclusive for all those who work for us. We encourage people to bring their whole selves to work, contribute ideas, take the initiative and be responsible for their impact on others internally and externally. We value your privacy
Feb 28, 2026
Full time
A total cash package of up to £110,000 comprising of a base salary of £82,005 We are a dynamic consulting firm, focused on delivering sustainable change. We ensure our clients succeed in their long-term goals by helping them turn their strategy into action through exceptional delivery and a commitment to establishing a culture of change. Clients like what we do and how we work, and we are looking for people to join the Moorhouse team. We pride ourselves on being proactive, collaborative, and straightforward team players. We work efficiently and collaboratively as a team and both honesty and integrity are key to this. In return you will be part of a supportive and high-performing team that shares the workload, looks after each other and celebrates success together. You can be assured of an exciting opportunity that will help you grow your skills through meaningful challenges and equip you with skills, experience and knowledge that can help organisations respond to the turbulence, change and opportunity that will define the future of work. We encourage behaviours that promote transparency, collaboration and achievement of shared goals. Data Science at Moorhouse Our Data Science capability is a growing and strategically significant part of Moorhouse. We help organisations unlock the value of their data by combining deep technical expertise with the consulting skills needed to drive real-world change. Our team works across the full data and analytics lifecycle,from defining strategy and enabling data-driven cultures, to building advanced analytical models and delivering digital products that embed predictive insight into everyday decision-making. We partner with clients across multiple sectors, including healthcare, energy and utilities, life sciences, financial services and TMT. Much of our work today focuses on developing and deploying analytical tools and web-based products that deliver forecasting, optimisation, and automated insight. Our projects span machine learning, statistical modelling, data engineering, data visualisation and MLOps, always with a focus on driving tangible business outcomes. As demand for digital and AI-enabled transformation continues to grow, our Data Science team is expandingand contributing to some of the most impactful programmes across the firm. Responsibilities Why join the Data Science team at Moorhouse? We are seeking a hands-on, technically focused Manager to join the Data Science function, who will lead the delivery of complex data science and digital product projects. While there will be opportunities to contribute to business growth and propositions, the key component of this role is strong technical delivery : architecting solutions, guiding teams, and ensuring the highest-quality output. This role complements another Manager in the team who is focused on proposition development and commercial growth. You will bring the deep engineering and delivery expertise necessary to ensure our solutions are robust, scalable and production-ready. In this role, you will have the opportunity to: Lead complex end-to-end delivery of data science and digital product solutions Lead the delivery of high-impact projects involving machine learning, forecasting, optimisation and data-driven digital products. Design and architect analytical solutions, including modelling approaches, data pipelines, integration patterns and deployment frameworks. Promote delivery excellence, engineering discipline and best-practice coding standards across teams. Be the technical leadership on DevOps/MLOps Implement and embed CI/CD pipelines, automated testing frameworks, containerisation and monitoring. Guide cloud architecture and infrastructure-as-code approaches (AWS, Azure, GCP). Encourage best practices for operationalising machine learning models at scale. Lead multidisciplinary teams with confidence Coach, mentor and support junior team members, ensuring they deliver high-quality technical work. Foster engineering maturity and support the development of technical capability across the team. Engage with senior stakeholders Translate technical detail into actionable insights and recommendations for clients. Build trusted relationships with leaders across multiple sectors. Support commercial and proposition development Provide technical input into proposals and bids. Contribute to refining our Data Science and AI propositions. Essential skills What are we looking for? We are seeking candidates with 6-8+ years of experience in data science, data engineering, analytics or AI product delivery, with a strong emphasis on hands-on technical leadership. Deep Technical Delivery Expertise Advanced proficiency in Python and SQL ; experience designing and delivering production-grade solutions. Operationalisation of machine learning models, forecasting tools, optimisation algorithms or analytical applications. Experience designing data pipelines, ETL workflows, APIs and data integration approaches. Automated testing (unit, integration, data validation, ML testing) Infrastructure-as-code (Terraform, ARM, CloudFormation) Monitoring and observability Experience with cloud ecosystems (Azure, AWS, GCP, Snowflake, Databricks). Strong understanding of software engineering fundamentals and modern development practices. Leadership & Consulting Capability Proven ability to lead delivery of complex technical programmes. Strong people leadership and mentoring capabilities. Excellent communication skills and ability to engage senior stakeholders. Collaborative mindset and commitment to high-quality client delivery. What we can offer you: A total cash package of up to £110,000 comprising of a base salary of £82,005 and a combination of personal and company bonuses that are paid every six months. 25 days annual leave increasing by one day for every full year of service to a maximum of 30 days with the option to buy or sell up to five days of annual leave per year. Life Assurance, Private Medical Insurance, Group Personal Pension Scheme and a range of discounted lifestyle and well-being benefits through Perkbox. A culture where you will not need to compete with others because of promotion quotas or the typical distribution curves that govern performance management in other organisations. We recognise and reward performance consistently and transparently across the firm so that everyone knows where they stand. We offer flexible working arrangements with our offices near Liverpool Street although you can expect to spend some time as part of a team onUKclient sites.Wesupport flexibility wherever possible. Moorhouse is proud to be an equal opportunities employer, and our values underpin a working environment that is inclusive for all those who work for us. We encourage people to bring their whole selves to work, contribute ideas, take the initiative and be responsible for their impact on others internally and externally. We value your privacy
Principal Data Architect, Secure Government and Defence Programmes Location: UK, hybrid, client site as required Security Requirement: Developed Vetting (DV) clearance is mandatory. This role is only suitable for candidates who currently hold active DV clearance. Overview A leading UK consulting organisation delivering mission-critical digital and data transformation across defence, national security, and sensitive government environments is seeking a Principal Data Architect. This is a senior, client-facing role focused on defining and delivering secure, scalable data platforms within highly classified programmes. Due to the nature of the work and access to classified systems, only candidates with active DV clearance can be considered. Role Responsibilities Define and lead enterprise-level data architecture for complex, secure transformation programmes Architect end-to-end data platforms covering ingestion, integration, storage, governance, and analytics Design secure, resilient, and scalable architectures aligned with defence and national security requirements Translate mission and operational needs into technical data solutions Provide technical leadership across engineering teams and client stakeholders Contribute to capability growth, technical strategy, and thought leadership within secure environments Technical Environment Architectural responsibility across modern and legacy secure platforms, including: Multi-cloud platforms and secure data environments Data lakes, warehouses, and distributed data systems Data ingestion, orchestration, and integration tooling Cloud ecosystems such as AWS, Azure, and GCP Databricks, Snowflake, and similar modern data platforms Infrastructure automation, DevOps, and secure deployment patterns Data governance, metadata, and secure access frameworks Analytics, semantic layers, and enterprise reporting platforms Seniority and Leadership Expectations Operate at Principal Consultant or equivalent leadership level Own architecture strategy across large, complex client programmes Lead multidisciplinary teams across data, engineering, and delivery functions Provide strategic technical direction and advisory support to senior stakeholders Support business development, technical assurance, and capability development Essential Requirements Active DV clearance (mandatory, non-negotiable) Strong experience designing and delivering enterprise data architectures Experience working in defence, national security, or highly regulated government environments Deep understanding of secure data platform design and cloud architectures Strong stakeholder engagement and consulting capability Experience leading teams and delivering complex programmes
Feb 28, 2026
Full time
Principal Data Architect, Secure Government and Defence Programmes Location: UK, hybrid, client site as required Security Requirement: Developed Vetting (DV) clearance is mandatory. This role is only suitable for candidates who currently hold active DV clearance. Overview A leading UK consulting organisation delivering mission-critical digital and data transformation across defence, national security, and sensitive government environments is seeking a Principal Data Architect. This is a senior, client-facing role focused on defining and delivering secure, scalable data platforms within highly classified programmes. Due to the nature of the work and access to classified systems, only candidates with active DV clearance can be considered. Role Responsibilities Define and lead enterprise-level data architecture for complex, secure transformation programmes Architect end-to-end data platforms covering ingestion, integration, storage, governance, and analytics Design secure, resilient, and scalable architectures aligned with defence and national security requirements Translate mission and operational needs into technical data solutions Provide technical leadership across engineering teams and client stakeholders Contribute to capability growth, technical strategy, and thought leadership within secure environments Technical Environment Architectural responsibility across modern and legacy secure platforms, including: Multi-cloud platforms and secure data environments Data lakes, warehouses, and distributed data systems Data ingestion, orchestration, and integration tooling Cloud ecosystems such as AWS, Azure, and GCP Databricks, Snowflake, and similar modern data platforms Infrastructure automation, DevOps, and secure deployment patterns Data governance, metadata, and secure access frameworks Analytics, semantic layers, and enterprise reporting platforms Seniority and Leadership Expectations Operate at Principal Consultant or equivalent leadership level Own architecture strategy across large, complex client programmes Lead multidisciplinary teams across data, engineering, and delivery functions Provide strategic technical direction and advisory support to senior stakeholders Support business development, technical assurance, and capability development Essential Requirements Active DV clearance (mandatory, non-negotiable) Strong experience designing and delivering enterprise data architectures Experience working in defence, national security, or highly regulated government environments Deep understanding of secure data platform design and cloud architectures Strong stakeholder engagement and consulting capability Experience leading teams and delivering complex programmes
Principal Data Engineer (MS Azure) Location UK Remote Salary Up to 68,000 home based nationally or up to 74,00 home based for those living within the M25 dependent on experience plus a 600 per annum home working allowance Job Ref J13058 We are looking for a Principal Data Engineer to shape the technical direction of data engineering across a cloud based Enterprise Data Platform built on Microsoft Azure. This role suits someone with deep hands on data engineering experience who can also set standards, guide teams, and influence how data solutions are designed and delivered at scale. You will play a key role in ensuring the platform is engineered to a consistently high standard and can evolve to meet future organisational needs. We value diverse perspectives and are committed to creating an environment where people with different backgrounds and experiences can do their best work. The environment The Enterprise Data Platform is built on Microsoft Azure, using Databricks, Microsoft Fabric, and Power BI to deliver trusted, governed data and analytics. What you will be doing Setting data engineering standards, patterns, and best practices Acting as a trusted senior technical authority across data engineering and analytics Shaping solution design and architectural decisions on Azure Ensuring data pipelines are scalable, reliable, and production ready Championing modern engineering practices including CI/CD and automation Working in a forward deployed way with delivery teams to support progress and remove blockers Managing and developing data engineers, supporting growth and high quality delivery What we are looking for Strong experience designing and building data platforms on Microsoft Azure Hands on experience with Databricks and Microsoft Fabric Experience working with analytics and reporting tools such as Power BI Experience managing and mentoring data engineers Excellent communication skills with the ability to explain complex technical ideas clearly to both technical and non-technical audiences A collaborative approach and an interest in raising engineering standards across teams If you have strong Azure based data engineering experience and want to shape how data engineering is delivered at scale, make an application today to find out more. Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data. For more information, visit our website: (url removed)
Feb 28, 2026
Full time
Principal Data Engineer (MS Azure) Location UK Remote Salary Up to 68,000 home based nationally or up to 74,00 home based for those living within the M25 dependent on experience plus a 600 per annum home working allowance Job Ref J13058 We are looking for a Principal Data Engineer to shape the technical direction of data engineering across a cloud based Enterprise Data Platform built on Microsoft Azure. This role suits someone with deep hands on data engineering experience who can also set standards, guide teams, and influence how data solutions are designed and delivered at scale. You will play a key role in ensuring the platform is engineered to a consistently high standard and can evolve to meet future organisational needs. We value diverse perspectives and are committed to creating an environment where people with different backgrounds and experiences can do their best work. The environment The Enterprise Data Platform is built on Microsoft Azure, using Databricks, Microsoft Fabric, and Power BI to deliver trusted, governed data and analytics. What you will be doing Setting data engineering standards, patterns, and best practices Acting as a trusted senior technical authority across data engineering and analytics Shaping solution design and architectural decisions on Azure Ensuring data pipelines are scalable, reliable, and production ready Championing modern engineering practices including CI/CD and automation Working in a forward deployed way with delivery teams to support progress and remove blockers Managing and developing data engineers, supporting growth and high quality delivery What we are looking for Strong experience designing and building data platforms on Microsoft Azure Hands on experience with Databricks and Microsoft Fabric Experience working with analytics and reporting tools such as Power BI Experience managing and mentoring data engineers Excellent communication skills with the ability to explain complex technical ideas clearly to both technical and non-technical audiences A collaborative approach and an interest in raising engineering standards across teams If you have strong Azure based data engineering experience and want to shape how data engineering is delivered at scale, make an application today to find out more. Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data. For more information, visit our website: (url removed)
Join Barclays as an Enterprise Data Architect - BPL and play a pivotal role in shaping the future of Barclaycard as it evolves into a new legal entity outside the bank. This is a unique opportunity to design and govern the migration of complex data landscapes, building new systems, tools, and robust data governance frameworks from the ground up. You'll define how data is classified, transferred, protected, and managed in a highly regulated environment, setting clear policies that ensure compliance, security, and long-term scalability. While this is an individual contributor role, your impact will be wide-reaching: multiple engineering teams will rely on your expertise and architectural direction as you influence decisions across the organisation. If you thrive at the intersection of data architecture, governance, and transformation and want your work to have real, lasting impact, this role gives you the opportunity to shape how a new organisation manages its data. To be successful in this role, you will need the following: Hands on experience with AWS, including streaming technologies (Kafka/Kinesis), and the design of Data Lakes and Data Warehouses using SQL and NoSQL databases. Solid knowledge of Data Governance, including data lineage, ownership, and classification, with familiarity in regulatory frameworks such as GDPR and PCI. Proven stakeholder management skills, with the ability to own the target architecture and collaborate effectively with engineering, risk, compliance, and finance teams. Mandatory experience in financial services or healthcare, working with highly sensitive data under strict regulatory requirements. Some other highly valued skills may include: Card acquiring domain expertise. Experience in API and event schema design. Hands on knowledge of modern data platforms such as Databricks, Snowflake, and Amazon Redshift. You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job specific technical skills. The successful candidate will be based in London. Our offices are located at 7 Westferry Circus (new BPL office). We support a hybrid working pattern with 3 days per week office based presence expected. Barclays' payments acceptance business provides critical infrastructure to the UK economy, processing billions of pounds of payments annually for both small businesses and domestic and international corporate clients. In April 2025, we announced a long term partnership with Brookfield Asset Management to grow and transform the payments acceptance business by broadening the range of services offered, enhancing the experience for both existing and prospective clients. Leveraging extensive client relationships and deep experience of UK payments, we will create an environment of continuous innovation - activated by Brookfield's global private equity expertise in payments, technology, operational transformation and corporate carve outs - to ensure the business is strategically positioned for long term growth. Barclays will invest approximately £400m in the new business, the majority of which will be incurred during the first three years. Performance linked incentives will drive greater alignment between the partners, underpinning the long term commitment to the transformation. Barclays and Brookfield will work to create a standalone entity over time, continuing to use the Barclaycard Payments (BPL) brand and acting as the sole payments acceptance services provider to Barclays' clients for a minimum of ten years. For more information on our partnership with Brookfield, please visit Purpose of the role To define, direct and govern the bank's target data architecture (inc. shared data environment, data model and standards) in support of business strategy, ensuring that data is accurate, secure and accessible to meet the needs of stakeholders. Accountabilities Development of the banks data architecture strategy, including the translation of bank wide goals and objectives into target data architecture and transition plan. Collaboration with stakeholders, including data operations, engineers and analysts, to provide subject matter expertise and share knowledge to promote standardised, consistent, safe and value driven data usage. Development and maintenance of the banks data architecture governance, standards and protection policies, regarding data models, authoritative data stores, and data capabilities, to support data quality, accuracy and consistency and the protection of sensitive information. Management of the alignment of projects to the target data architecture through the provision of guidance, data solutions and monitoring of progress. Definition of the shared reusable data capabilities, assets, tools and technologies required to connect disparate data sources, optimise data storage and provide seamless data access. Custodianship of an overarching data model that directs how data is logically and physically structured within the banks physical data resources, e.g. database, interfaces and reports. Monitoring applicable regulatory standards and industry developments for potential impact on the banks operations, controls and application portfolio. Identification and selection of best in class data technologies and ongoing assessment of compliance with the bank's service level agreements and quality standards. Vice President Expectations To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/processes; deliver continuous improvements and escape breaches of policies/procedures. If managing a team, they define jobs and responsibilities, planning for the department's future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements. If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others. OR for an individual contributor, they will be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions. Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment. Manage and mitigate risks through assessment, in support of the control and governance agenda. Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does. Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies. Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In depth analysis with interpretative thinking will be required to define problems and develop innovative solutions. Adopt and include the outcomes of extensive research in problem solving processes. Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship - our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset - to Empower, Challenge and Drive - the operating manual for how we behave.
Feb 28, 2026
Full time
Join Barclays as an Enterprise Data Architect - BPL and play a pivotal role in shaping the future of Barclaycard as it evolves into a new legal entity outside the bank. This is a unique opportunity to design and govern the migration of complex data landscapes, building new systems, tools, and robust data governance frameworks from the ground up. You'll define how data is classified, transferred, protected, and managed in a highly regulated environment, setting clear policies that ensure compliance, security, and long-term scalability. While this is an individual contributor role, your impact will be wide-reaching: multiple engineering teams will rely on your expertise and architectural direction as you influence decisions across the organisation. If you thrive at the intersection of data architecture, governance, and transformation and want your work to have real, lasting impact, this role gives you the opportunity to shape how a new organisation manages its data. To be successful in this role, you will need the following: Hands on experience with AWS, including streaming technologies (Kafka/Kinesis), and the design of Data Lakes and Data Warehouses using SQL and NoSQL databases. Solid knowledge of Data Governance, including data lineage, ownership, and classification, with familiarity in regulatory frameworks such as GDPR and PCI. Proven stakeholder management skills, with the ability to own the target architecture and collaborate effectively with engineering, risk, compliance, and finance teams. Mandatory experience in financial services or healthcare, working with highly sensitive data under strict regulatory requirements. Some other highly valued skills may include: Card acquiring domain expertise. Experience in API and event schema design. Hands on knowledge of modern data platforms such as Databricks, Snowflake, and Amazon Redshift. You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job specific technical skills. The successful candidate will be based in London. Our offices are located at 7 Westferry Circus (new BPL office). We support a hybrid working pattern with 3 days per week office based presence expected. Barclays' payments acceptance business provides critical infrastructure to the UK economy, processing billions of pounds of payments annually for both small businesses and domestic and international corporate clients. In April 2025, we announced a long term partnership with Brookfield Asset Management to grow and transform the payments acceptance business by broadening the range of services offered, enhancing the experience for both existing and prospective clients. Leveraging extensive client relationships and deep experience of UK payments, we will create an environment of continuous innovation - activated by Brookfield's global private equity expertise in payments, technology, operational transformation and corporate carve outs - to ensure the business is strategically positioned for long term growth. Barclays will invest approximately £400m in the new business, the majority of which will be incurred during the first three years. Performance linked incentives will drive greater alignment between the partners, underpinning the long term commitment to the transformation. Barclays and Brookfield will work to create a standalone entity over time, continuing to use the Barclaycard Payments (BPL) brand and acting as the sole payments acceptance services provider to Barclays' clients for a minimum of ten years. For more information on our partnership with Brookfield, please visit Purpose of the role To define, direct and govern the bank's target data architecture (inc. shared data environment, data model and standards) in support of business strategy, ensuring that data is accurate, secure and accessible to meet the needs of stakeholders. Accountabilities Development of the banks data architecture strategy, including the translation of bank wide goals and objectives into target data architecture and transition plan. Collaboration with stakeholders, including data operations, engineers and analysts, to provide subject matter expertise and share knowledge to promote standardised, consistent, safe and value driven data usage. Development and maintenance of the banks data architecture governance, standards and protection policies, regarding data models, authoritative data stores, and data capabilities, to support data quality, accuracy and consistency and the protection of sensitive information. Management of the alignment of projects to the target data architecture through the provision of guidance, data solutions and monitoring of progress. Definition of the shared reusable data capabilities, assets, tools and technologies required to connect disparate data sources, optimise data storage and provide seamless data access. Custodianship of an overarching data model that directs how data is logically and physically structured within the banks physical data resources, e.g. database, interfaces and reports. Monitoring applicable regulatory standards and industry developments for potential impact on the banks operations, controls and application portfolio. Identification and selection of best in class data technologies and ongoing assessment of compliance with the bank's service level agreements and quality standards. Vice President Expectations To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/processes; deliver continuous improvements and escape breaches of policies/procedures. If managing a team, they define jobs and responsibilities, planning for the department's future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements. If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others. OR for an individual contributor, they will be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions. Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment. Manage and mitigate risks through assessment, in support of the control and governance agenda. Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does. Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies. Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In depth analysis with interpretative thinking will be required to define problems and develop innovative solutions. Adopt and include the outcomes of extensive research in problem solving processes. Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship - our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset - to Empower, Challenge and Drive - the operating manual for how we behave.
We are a dynamic consulting firm focused on delivering sustainable change. We help our clients succeed in their long-term goals by turning strategy into action through exceptional delivery and establishing a culture of change. As a transformation consultancy, we work with clients to improve the way they operate, deliver services, and empower their people. We get out of the theory and into the detail - working directly with client teams to deliver meaningful, measurable impact. Our people are our greatest asset and core to why clients choose to work with us. We pride ourselves on being proactive, collaborative and straightforward team players, with a focus on being successful together. We move fast as a team, and honesty and integrity sit at the heart of how we operate. You will be part of a supportive and high performing community that looks after one another, has fun, and celebrates success together. You can expect exciting opportunities on varied and stretching projects that will equip you with skills, experience and knowledge to help organisations thrive in a rapidly changing world. We will expect you to contribute to a culture of sustainability and embrace Moorhouse's social responsibility by integrating responsible practices and upholding ethical standards and awareness in everyday work. Moorhouse is currently unable to offer visa sponsorship for this role. Unfortunately, this means we are not able to progress applications from candidates who would require sponsorship now or in the future. Data Science at Moorhouse Our Data Science capability is a growing and strategically significant part of Moorhouse. We help organisations unlock the value of their data by combining strong technical expertise with the consulting skills needed to drive real world change. Our team works across the full data and analytics lifecycle, from shaping strategy and enabling data driven cultures, to building advanced analytical models and delivering digital products that embed predictive insight into everyday decision making. We partner with clients across multiple sectors, including healthcare, energy and utilities, life sciences, financial services and TMT. Much of our work today focuses on developing and deploying analytical tools and web based products that support forecasting, optimisation, and automated insight. Our projects span machine learning, statistical modelling, data engineering, data visualisation and MLOps, always with a focus on delivering tangible business outcomes. As demand for digital and AI enabled transformation continues to grow, our Data Science team is continuing to grow and shaping some of the most impactful programmes across the firm. Responsibilities Why join the Data Science team at Moorhouse? As a Senior Consultant, you will help deliver advanced analytics and digital product solutions, leading defined workstreams and shaping how data science is applied in practice. You will play a key role in both hands on delivery and client engagement. In this role, you will have the opportunity to: Deliver machine learning, forecasting and analytical solutions that support meaningful outcomes. Lead workstreams within broader programmes, ensuring clarity, structure and quality. Design analytical approaches and contribute to architectural decisions. Develop dashboards, apps and tools using PowerBI, KNIME, R or Python based frameworks. Work directly with senior stakeholders, translating analytical insights into practical and actionable recommendations. Support business development through proposals, thought leadership and proposition development. Mentor junior colleagues and contribute to capability growth. Essential skills What are we looking for? We are seeking candidates with 4+ years' experience in data science, advanced data analytics, data engineering, or digital product development. Core Analytics & Engineering Strong experience with Python and SQL; exposure to R is beneficial. Hands on delivery of machine learning models or advanced analytical techniques. Experience designing data pipelines, dashboards, APIs or analytical tools. Experience with Power BI, Tableau, KNIME or Python visualisation frameworks. Familiarity with modern cloud platforms (Azure, AWS, GCP, Snowflake, Databricks). GenAI & LLM Fluency Practical experience using large language models (LLMs) via APIs (e.g. OpenAI, Azure OpenAI, Anthropic). Structured prompt engineering, including templates, guardrails and basic evaluation approaches. Awareness of model limitations, hallucinations, latency and cost trade offs. Infrastructure & Production Mindset Conceptual and light hands on familiarity with cloud infrastructure (Azure/AWS/GCP). Basic experience with Docker or environment management. Comfort moving from notebooks to production ready services, pipelines or batch workflows. Exposure to APIs, simple backends or AI enabled services. Ethics, Governance & Risk Clear understanding of data privacy, GDPR and responsible AI principles. Comfort delivering AI solutions within client governance, security and risk constraints. Ability to explain AI risks and controls clearly to non technical stakeholders. Consulting Skills Strong communication and stakeholder engagement skills. Ability to translate complex analytical and AI concepts in a way that is easy to understand and client friendly. Experience leading structured delivery within consulting or project environments. Confidence balancing technical delivery with commercial and client needs. Bonus Experience Experience building internal AI tools, copilots or assistants. Exposure to LangChain, LlamaIndex or similar orchestration frameworks. Well developed production mindset, with a focus on reliability and maintainability. What we can offer you: A total cash package of up to £80,000 comprising of a base salary of £64,575 and a combination of personal and company bonuses paid every six months. 25 days annual leave, increasing by one day for every full year of service to a maximum of 30, plus the option to buy or sell up to five days per year. Life Assurance, Private Medical Insurance, Group Personal Pension Scheme and a range of lifestyle and wellbeing benefits through Perkbox. A culture free from quotas or forced performance curves, we reward performance consistently and transparently so everyone knows where they stand. Flexible working arrangements, with offices near Liverpool Street, and opportunities to spend time on client site as part of a collaborative team. We offer flexible working arrangements with our offices near Liverpool Street although you can expect to spend some time as part of a team onUKclient sites.Wesupport flexibility wherever possible. Moorhouse is proud to be an equal opportunities employer, and our values underpin a working environment that is inclusive for all those who work for us. We encourage people to bring their whole selves to work, contribute ideas, take the initiative and be responsible for their impact on others internally and externally.
Feb 28, 2026
Full time
We are a dynamic consulting firm focused on delivering sustainable change. We help our clients succeed in their long-term goals by turning strategy into action through exceptional delivery and establishing a culture of change. As a transformation consultancy, we work with clients to improve the way they operate, deliver services, and empower their people. We get out of the theory and into the detail - working directly with client teams to deliver meaningful, measurable impact. Our people are our greatest asset and core to why clients choose to work with us. We pride ourselves on being proactive, collaborative and straightforward team players, with a focus on being successful together. We move fast as a team, and honesty and integrity sit at the heart of how we operate. You will be part of a supportive and high performing community that looks after one another, has fun, and celebrates success together. You can expect exciting opportunities on varied and stretching projects that will equip you with skills, experience and knowledge to help organisations thrive in a rapidly changing world. We will expect you to contribute to a culture of sustainability and embrace Moorhouse's social responsibility by integrating responsible practices and upholding ethical standards and awareness in everyday work. Moorhouse is currently unable to offer visa sponsorship for this role. Unfortunately, this means we are not able to progress applications from candidates who would require sponsorship now or in the future. Data Science at Moorhouse Our Data Science capability is a growing and strategically significant part of Moorhouse. We help organisations unlock the value of their data by combining strong technical expertise with the consulting skills needed to drive real world change. Our team works across the full data and analytics lifecycle, from shaping strategy and enabling data driven cultures, to building advanced analytical models and delivering digital products that embed predictive insight into everyday decision making. We partner with clients across multiple sectors, including healthcare, energy and utilities, life sciences, financial services and TMT. Much of our work today focuses on developing and deploying analytical tools and web based products that support forecasting, optimisation, and automated insight. Our projects span machine learning, statistical modelling, data engineering, data visualisation and MLOps, always with a focus on delivering tangible business outcomes. As demand for digital and AI enabled transformation continues to grow, our Data Science team is continuing to grow and shaping some of the most impactful programmes across the firm. Responsibilities Why join the Data Science team at Moorhouse? As a Senior Consultant, you will help deliver advanced analytics and digital product solutions, leading defined workstreams and shaping how data science is applied in practice. You will play a key role in both hands on delivery and client engagement. In this role, you will have the opportunity to: Deliver machine learning, forecasting and analytical solutions that support meaningful outcomes. Lead workstreams within broader programmes, ensuring clarity, structure and quality. Design analytical approaches and contribute to architectural decisions. Develop dashboards, apps and tools using PowerBI, KNIME, R or Python based frameworks. Work directly with senior stakeholders, translating analytical insights into practical and actionable recommendations. Support business development through proposals, thought leadership and proposition development. Mentor junior colleagues and contribute to capability growth. Essential skills What are we looking for? We are seeking candidates with 4+ years' experience in data science, advanced data analytics, data engineering, or digital product development. Core Analytics & Engineering Strong experience with Python and SQL; exposure to R is beneficial. Hands on delivery of machine learning models or advanced analytical techniques. Experience designing data pipelines, dashboards, APIs or analytical tools. Experience with Power BI, Tableau, KNIME or Python visualisation frameworks. Familiarity with modern cloud platforms (Azure, AWS, GCP, Snowflake, Databricks). GenAI & LLM Fluency Practical experience using large language models (LLMs) via APIs (e.g. OpenAI, Azure OpenAI, Anthropic). Structured prompt engineering, including templates, guardrails and basic evaluation approaches. Awareness of model limitations, hallucinations, latency and cost trade offs. Infrastructure & Production Mindset Conceptual and light hands on familiarity with cloud infrastructure (Azure/AWS/GCP). Basic experience with Docker or environment management. Comfort moving from notebooks to production ready services, pipelines or batch workflows. Exposure to APIs, simple backends or AI enabled services. Ethics, Governance & Risk Clear understanding of data privacy, GDPR and responsible AI principles. Comfort delivering AI solutions within client governance, security and risk constraints. Ability to explain AI risks and controls clearly to non technical stakeholders. Consulting Skills Strong communication and stakeholder engagement skills. Ability to translate complex analytical and AI concepts in a way that is easy to understand and client friendly. Experience leading structured delivery within consulting or project environments. Confidence balancing technical delivery with commercial and client needs. Bonus Experience Experience building internal AI tools, copilots or assistants. Exposure to LangChain, LlamaIndex or similar orchestration frameworks. Well developed production mindset, with a focus on reliability and maintainability. What we can offer you: A total cash package of up to £80,000 comprising of a base salary of £64,575 and a combination of personal and company bonuses paid every six months. 25 days annual leave, increasing by one day for every full year of service to a maximum of 30, plus the option to buy or sell up to five days per year. Life Assurance, Private Medical Insurance, Group Personal Pension Scheme and a range of lifestyle and wellbeing benefits through Perkbox. A culture free from quotas or forced performance curves, we reward performance consistently and transparently so everyone knows where they stand. Flexible working arrangements, with offices near Liverpool Street, and opportunities to spend time on client site as part of a collaborative team. We offer flexible working arrangements with our offices near Liverpool Street although you can expect to spend some time as part of a team onUKclient sites.Wesupport flexibility wherever possible. Moorhouse is proud to be an equal opportunities employer, and our values underpin a working environment that is inclusive for all those who work for us. We encourage people to bring their whole selves to work, contribute ideas, take the initiative and be responsible for their impact on others internally and externally.
Overview Principal Consultant - Data Architecture London About Us Do you want to boost your career and collaborate with expert, talented colleagues to solve and deliver against our clients' most important challenges? We are growing and are looking for people to join our team. You will be part of an entrepreneurial, high-growth environment of 300.000 employees. Our dynamic organization allows you to work across functional business pillars, contributing your ideas, experiences, diverse thinking, and a strong mindset. Are you ready? About Your Role As a Principal Data Architecture Consultant, you act as a senior technical leader in complex data and analytics engagements. You shape and govern end-to-end enterprise data architectures, lead technical teams, and serve as a trusted technical advisor for clients and internal stakeholders. You are responsible for ensuring that enterprise data and analytics solutions are scalable, secure, and production-ready, while translating business requirements into robust technical designs and delivery roadmaps. Your role will include: Define and govern target enterprise data, integration and analytics architectures across cloud and hybrid environments Translate business objectives into scalable, secure, and compliant data solutions Lead the design of end-to-end data solutions (ingestion, integration, storage, security, processing, analytics, AI enablement) Guide delivery teams through implementation, rollout, and production readiness Function as senior technical counterpart for client architects, IT leads, and engineering teams Mentor data architects, system architects and engineers and contribute to best practices and reference architectures Support pre-sales and solution design activities from a technical perspective What you bring - required Experience & Seniority 5-8+ years of experience in enterprise data architecture, system data integration, data engineering, or analytics Proven experience leading enterprise data architecture workstreams or technical teams Strong client-facing experience in complex enterprise environments Core Data & Analytics Technology Skills Strong expertise in modern data architectures, including: Data Mesh/ Data Fabric/ Data lake / data warehouse architectures Modern Data Architecture design principles Batch and streaming data integration patterns Data Platform, DevOps, deployment and security architectures Analytics and AI enablement architectures Hands-on experience with cloud data platforms, e.g.: Azure, AWS or GCP Databricks, Snowflake, BigQuery, Azure Synapse / Microsoft Fabric Strong SQL skills and experience with relational databases (e.g. Postgres, SQL Server, Oracle) Experience with NoSQL databases (e.g. Cosmos DB, MongoDB, InfluxDB) Solid understanding of API-based and event-driven architectures Experience designing and governing enterprise data migration programmes, including mapping, transformation rules, data quality remediation etc. Engineering & Platform Foundations Experience with data pipelines, orchestration, and automation Familiarity with CI/CD concepts and production-grade deployments Understanding of distributed systems; Docker / Kubernetes is a plus Data Management & Governance Strong understanding of data management and governance principles, including: Data quality, metadata, lineage, master data management Data Management software and tools Security, access control, and compliance considerations Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field or equivalent practical experience Nice to have Exposure to advanced analytics, AI / ML or GenAI from an architectural perspective Experience with streaming platforms (e.g. Kafka, Azure Event Hubs) Hands-on Experience with data governance or metadata tools Cloud, data, or architecture certifications Language & Mobility Very good English skills Willingness to travel for project-related work About your team Join our growing Data & Analytics practice and make a difference. In this practice you will be utilizing the most innovative technological solutions in modern data ecosystem. In this role you'll be able to see your own ideas transform into breakthrough results in the areas of Data & Analytics Strategy, Data Management & Governance, Data Platforms & Engineering, Analytics & Data Science. About Infosys Consulting Be part of a globally renowned management consulting firm on the front-line of industry disruption and at the cutting edge of technology. We work with market leading brands across sectors. Our culture is inclusive and entrepreneurial. Being a mid-size consultancy within the scale of Infosys gives us the global reach to partner with our clients throughout their transformation journey. Our core values, IC-LIFE, form a common code that helps us move forward. IC-LIFE stands for Inclusion, Equity and Diversity, Client, Leadership, Integrity, Fairness, and Excellence. To learn more about Infosys Consulting and our values, please visit our careers page. Within Europe, we are recognized as one of the UK's top firms by the Financial Times and Forbes due to our client innovations, our cultural diversity and dedicated training and career paths. Infosys is on the Germany's top employers list for 2023. Management Consulting Magazine named us on their list of Best Firms to Work for. Furthermore, Infosys has been recognized by the Top Employers Institute, a global certification company, for its exceptional standards in employee conditions across Europe for five years in a row. We offer industry-leading compensation and benefits, along with top training and development opportunities so that you can grow your career and achieve your personal ambitions. Curious to learn more? We'd love to hear from you Apply today!
Feb 28, 2026
Full time
Overview Principal Consultant - Data Architecture London About Us Do you want to boost your career and collaborate with expert, talented colleagues to solve and deliver against our clients' most important challenges? We are growing and are looking for people to join our team. You will be part of an entrepreneurial, high-growth environment of 300.000 employees. Our dynamic organization allows you to work across functional business pillars, contributing your ideas, experiences, diverse thinking, and a strong mindset. Are you ready? About Your Role As a Principal Data Architecture Consultant, you act as a senior technical leader in complex data and analytics engagements. You shape and govern end-to-end enterprise data architectures, lead technical teams, and serve as a trusted technical advisor for clients and internal stakeholders. You are responsible for ensuring that enterprise data and analytics solutions are scalable, secure, and production-ready, while translating business requirements into robust technical designs and delivery roadmaps. Your role will include: Define and govern target enterprise data, integration and analytics architectures across cloud and hybrid environments Translate business objectives into scalable, secure, and compliant data solutions Lead the design of end-to-end data solutions (ingestion, integration, storage, security, processing, analytics, AI enablement) Guide delivery teams through implementation, rollout, and production readiness Function as senior technical counterpart for client architects, IT leads, and engineering teams Mentor data architects, system architects and engineers and contribute to best practices and reference architectures Support pre-sales and solution design activities from a technical perspective What you bring - required Experience & Seniority 5-8+ years of experience in enterprise data architecture, system data integration, data engineering, or analytics Proven experience leading enterprise data architecture workstreams or technical teams Strong client-facing experience in complex enterprise environments Core Data & Analytics Technology Skills Strong expertise in modern data architectures, including: Data Mesh/ Data Fabric/ Data lake / data warehouse architectures Modern Data Architecture design principles Batch and streaming data integration patterns Data Platform, DevOps, deployment and security architectures Analytics and AI enablement architectures Hands-on experience with cloud data platforms, e.g.: Azure, AWS or GCP Databricks, Snowflake, BigQuery, Azure Synapse / Microsoft Fabric Strong SQL skills and experience with relational databases (e.g. Postgres, SQL Server, Oracle) Experience with NoSQL databases (e.g. Cosmos DB, MongoDB, InfluxDB) Solid understanding of API-based and event-driven architectures Experience designing and governing enterprise data migration programmes, including mapping, transformation rules, data quality remediation etc. Engineering & Platform Foundations Experience with data pipelines, orchestration, and automation Familiarity with CI/CD concepts and production-grade deployments Understanding of distributed systems; Docker / Kubernetes is a plus Data Management & Governance Strong understanding of data management and governance principles, including: Data quality, metadata, lineage, master data management Data Management software and tools Security, access control, and compliance considerations Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field or equivalent practical experience Nice to have Exposure to advanced analytics, AI / ML or GenAI from an architectural perspective Experience with streaming platforms (e.g. Kafka, Azure Event Hubs) Hands-on Experience with data governance or metadata tools Cloud, data, or architecture certifications Language & Mobility Very good English skills Willingness to travel for project-related work About your team Join our growing Data & Analytics practice and make a difference. In this practice you will be utilizing the most innovative technological solutions in modern data ecosystem. In this role you'll be able to see your own ideas transform into breakthrough results in the areas of Data & Analytics Strategy, Data Management & Governance, Data Platforms & Engineering, Analytics & Data Science. About Infosys Consulting Be part of a globally renowned management consulting firm on the front-line of industry disruption and at the cutting edge of technology. We work with market leading brands across sectors. Our culture is inclusive and entrepreneurial. Being a mid-size consultancy within the scale of Infosys gives us the global reach to partner with our clients throughout their transformation journey. Our core values, IC-LIFE, form a common code that helps us move forward. IC-LIFE stands for Inclusion, Equity and Diversity, Client, Leadership, Integrity, Fairness, and Excellence. To learn more about Infosys Consulting and our values, please visit our careers page. Within Europe, we are recognized as one of the UK's top firms by the Financial Times and Forbes due to our client innovations, our cultural diversity and dedicated training and career paths. Infosys is on the Germany's top employers list for 2023. Management Consulting Magazine named us on their list of Best Firms to Work for. Furthermore, Infosys has been recognized by the Top Employers Institute, a global certification company, for its exceptional standards in employee conditions across Europe for five years in a row. We offer industry-leading compensation and benefits, along with top training and development opportunities so that you can grow your career and achieve your personal ambitions. Curious to learn more? We'd love to hear from you Apply today!
Data & AI Product Lead London Hybrid Permanent Up to £110,000 VIQU have partnered with a leading insurance organisation seeking a Data & AI Product Lead to shape and drive their UK&I data and AI product strategy. As a Data & AI Product Lead, you will define the vision, roadmap, and operating model for a growing data product ecosystem, working closely with underwriting, pricing, claims, risk, data science, and engineering teams to deliver scalable, high value data and AI products aligned to commercial outcomes. This Data & AI Product Lead role offers genuine enterprise level influence and strategic ownership across the organisation. Key Responsibilities: • Define and drive the data and AI product strategy as a Data & AI Product Lead, aligned to business and data objectives. • Develop and maintain comprehensive product roadmaps and a target data product catalogue. • Partner with underwriting, pricing, claims, risk, data science, and technology teams to identify opportunities and prioritise initiatives. • Own the end to end lifecycle of data and AI products from ideation through to deployment and continuous optimisation. • Establish and embed a clear data product operating model and governance framework. • Define KPIs and ROI measures to track performance, adoption, and commercial impact. • Engage senior stakeholders, translating complex data and AI concepts into clear business value. • Ensure regulatory compliance and high standards of data quality and integrity. Key Requirements: • Proven experience as a Data & AI Product Lead, Senior Data Product Manager, or similar end to end product ownership role. • Strong insurance domain knowledge across pricing, underwriting, claims, and risk. • Demonstrable experience defining product strategy, roadmaps, prioritisation frameworks, and value measurement. • Practical knowledge of cloud data platforms such as Azure and Databricks, with the ability to engage engineering teams credibly. • Experience establishing governance frameworks for data products, ensuring regulatory compliance and data integrity. • Strong executive level stakeholder management and communication skills. • Strategic, structured thinker able to operate in ambiguity and drive clarity at pace. Data & AI Product Lead London Hybrid Permanent Up to £110,000 Apply today to speak with VIQU in confidence or contact Belle Hegarty at (url removed). Know someone exceptional for this Data & AI Product Lead position? Refer them and receive up to £1,000 if successful terms apply. Follow us on LinkedIn IT Recruitment for more exciting opportunities.
Feb 28, 2026
Full time
Data & AI Product Lead London Hybrid Permanent Up to £110,000 VIQU have partnered with a leading insurance organisation seeking a Data & AI Product Lead to shape and drive their UK&I data and AI product strategy. As a Data & AI Product Lead, you will define the vision, roadmap, and operating model for a growing data product ecosystem, working closely with underwriting, pricing, claims, risk, data science, and engineering teams to deliver scalable, high value data and AI products aligned to commercial outcomes. This Data & AI Product Lead role offers genuine enterprise level influence and strategic ownership across the organisation. Key Responsibilities: • Define and drive the data and AI product strategy as a Data & AI Product Lead, aligned to business and data objectives. • Develop and maintain comprehensive product roadmaps and a target data product catalogue. • Partner with underwriting, pricing, claims, risk, data science, and technology teams to identify opportunities and prioritise initiatives. • Own the end to end lifecycle of data and AI products from ideation through to deployment and continuous optimisation. • Establish and embed a clear data product operating model and governance framework. • Define KPIs and ROI measures to track performance, adoption, and commercial impact. • Engage senior stakeholders, translating complex data and AI concepts into clear business value. • Ensure regulatory compliance and high standards of data quality and integrity. Key Requirements: • Proven experience as a Data & AI Product Lead, Senior Data Product Manager, or similar end to end product ownership role. • Strong insurance domain knowledge across pricing, underwriting, claims, and risk. • Demonstrable experience defining product strategy, roadmaps, prioritisation frameworks, and value measurement. • Practical knowledge of cloud data platforms such as Azure and Databricks, with the ability to engage engineering teams credibly. • Experience establishing governance frameworks for data products, ensuring regulatory compliance and data integrity. • Strong executive level stakeholder management and communication skills. • Strategic, structured thinker able to operate in ambiguity and drive clarity at pace. Data & AI Product Lead London Hybrid Permanent Up to £110,000 Apply today to speak with VIQU in confidence or contact Belle Hegarty at (url removed). Know someone exceptional for this Data & AI Product Lead position? Refer them and receive up to £1,000 if successful terms apply. Follow us on LinkedIn IT Recruitment for more exciting opportunities.
Outside Sales Product Specialist - Data Management, London At Dell Technologies, we create the extraordinary. Our Outside Sales Product Specialists are the experts who sell innovation to the world. Responsible for a set of products and services, they get to know their portfolio inside and out. Our Outside Sales teams rely on them for technical advice during the sales process. They directly advise customers on everything from product features and configurations, through to pricing and availability. We are seeking senior sales candidates with a strong track record selling data management, analytics, MLOps, or AI platforms into large enterprise customers. This role is responsible for new customer acquisition, account expansion, and strategic account growth by positioning modern data platforms as the foundation for enterprise analytics and AI initiatives. Join us to do the best work of your career and make a profound social impact as a Outside Sales Product Specialist on our Product and Solutions Sales Specialist Team in the UK, based London What you'll achieve As an Outside Sales Product Specialist, you will proactively identify and solve customer business needs by providing subject matter expertise and creating solutions using Dell's products and services. You will: •Manage relationships with senior level technical personnel and decision makers •Demonstrate the value of a product and/or service technology to advance customer business objectives •Provide insight and thought leadership to customers concerning applicability of highly complex products and services •Act as a technical resource for the sales organization to help meet and exceed their objectives Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: Core Skills & Key Responsibilities Bring 5+ years of enterprise sales experience in data management and analytics, ideally with vendors such as Databricks, Snowflake, Denodo, Informatica, Teradata, ScaleAI or similar. Develop and execute account strategies aligned to customer data, analytics, and AI transformation initiatives that are focused on Dell's AI Data Platform Data Engines. Engage senior customer stakeholders, including CIOs, CDOs, CTOs, and Heads of Data, Analytics, and AI. Lead value-based sales conversations that connect measurable business ROI based outcomes to the AI Data Platform. Position competitively and win against incumbent and next-generation data platform providers. Demonstrate a strong understanding of modern data architectures (data warehouses, data lakes, lakehouse models, and vector databases for AI/RAG) at a business and value level. Articulate how Dell products enable AI applications through retrieval-augmented generation (RAG) and unstructured data processing for use cases like intelligent search, document analysis, and conversational AI. Position the platform's capabilities for handling unstructured data (documents, images, logs) alongside structured data for comprehensive AI solutions Show familiarity with data engineering, analytics, BI, and data science workflows sufficient to sell AI based outcomes and guide customer conversations. Connect data and AI initiatives to executive priorities such as AI adoption, cost optimization, revenue growth, and operational efficiency. Desirable Requirements •8 to 12 years of related experience in a relationship selling role •Bachelor's degree Who we are We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here . Job ID:R285937
Feb 27, 2026
Full time
Outside Sales Product Specialist - Data Management, London At Dell Technologies, we create the extraordinary. Our Outside Sales Product Specialists are the experts who sell innovation to the world. Responsible for a set of products and services, they get to know their portfolio inside and out. Our Outside Sales teams rely on them for technical advice during the sales process. They directly advise customers on everything from product features and configurations, through to pricing and availability. We are seeking senior sales candidates with a strong track record selling data management, analytics, MLOps, or AI platforms into large enterprise customers. This role is responsible for new customer acquisition, account expansion, and strategic account growth by positioning modern data platforms as the foundation for enterprise analytics and AI initiatives. Join us to do the best work of your career and make a profound social impact as a Outside Sales Product Specialist on our Product and Solutions Sales Specialist Team in the UK, based London What you'll achieve As an Outside Sales Product Specialist, you will proactively identify and solve customer business needs by providing subject matter expertise and creating solutions using Dell's products and services. You will: •Manage relationships with senior level technical personnel and decision makers •Demonstrate the value of a product and/or service technology to advance customer business objectives •Provide insight and thought leadership to customers concerning applicability of highly complex products and services •Act as a technical resource for the sales organization to help meet and exceed their objectives Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: Core Skills & Key Responsibilities Bring 5+ years of enterprise sales experience in data management and analytics, ideally with vendors such as Databricks, Snowflake, Denodo, Informatica, Teradata, ScaleAI or similar. Develop and execute account strategies aligned to customer data, analytics, and AI transformation initiatives that are focused on Dell's AI Data Platform Data Engines. Engage senior customer stakeholders, including CIOs, CDOs, CTOs, and Heads of Data, Analytics, and AI. Lead value-based sales conversations that connect measurable business ROI based outcomes to the AI Data Platform. Position competitively and win against incumbent and next-generation data platform providers. Demonstrate a strong understanding of modern data architectures (data warehouses, data lakes, lakehouse models, and vector databases for AI/RAG) at a business and value level. Articulate how Dell products enable AI applications through retrieval-augmented generation (RAG) and unstructured data processing for use cases like intelligent search, document analysis, and conversational AI. Position the platform's capabilities for handling unstructured data (documents, images, logs) alongside structured data for comprehensive AI solutions Show familiarity with data engineering, analytics, BI, and data science workflows sufficient to sell AI based outcomes and guide customer conversations. Connect data and AI initiatives to executive priorities such as AI adoption, cost optimization, revenue growth, and operational efficiency. Desirable Requirements •8 to 12 years of related experience in a relationship selling role •Bachelor's degree Who we are We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here . Job ID:R285937
Outside Sales Product Specialist - Data Management, London At Dell Technologies, we create the extraordinary. Our Outside Sales Product Specialists are the experts who sell innovation to the world. Responsible for a set of products and services, they get to know their portfolio inside and out. Our Outside Sales teams rely on them for technical advice during the sales process. They directly advise customers on everything from product features and configurations, through to pricing and availability. We are seeking senior sales candidates with a strong track record selling data management, analytics, MLOps, or AI platforms into large enterprise customers. This role is responsible for new customer acquisition, account expansion, and strategic account growth by positioning modern data platforms as the foundation for enterprise analytics and AI initiatives. Join us to do the best work of your career and make a profound social impact as a Outside Sales Product Specialist on our Product and Solutions Sales Specialist Team in the UK, based London What you'll achieve As an Outside Sales Product Specialist, you will proactively identify and solve customer business needs by providing subject matter expertise and creating solutions using Dell's products and services. You will: •Manage relationships with senior level technical personnel and decision makers •Demonstrate the value of a product and/or service technology to advance customer business objectives •Provide insight and thought leadership to customers concerning applicability of highly complex products and services •Act as a technical resource for the sales organization to help meet and exceed their objectives Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: Core Skills & Key Responsibilities Bring 5+ years of enterprise sales experience in data management and analytics, ideally with vendors such as Databricks, Snowflake, Denodo, Informatica, Teradata, ScaleAI or similar. Develop and execute account strategies aligned to customer data, analytics, and AI transformation initiatives that are focused on Dell's AI Data Platform Data Engines. Engage senior customer stakeholders, including CIOs, CDOs, CTOs, and Heads of Data, Analytics, and AI. Lead value-based sales conversations that connect measurable business ROI based outcomes to the AI Data Platform. Position competitively and win against incumbent and next-generation data platform providers. Demonstrate a strong understanding of modern data architectures (data warehouses, data lakes, lakehouse models, and vector databases for AI/RAG) at a business and value level. Articulate how Dell products enable AI applications through retrieval-augmented generation (RAG) and unstructured data processing for use cases like intelligent search, document analysis, and conversational AI. Position the platform's capabilities for handling unstructured data (documents, images, logs) alongside structured data for comprehensive AI solutions Show familiarity with data engineering, analytics, BI, and data science workflows sufficient to sell AI based outcomes and guide customer conversations. Connect data and AI initiatives to executive priorities such as AI adoption, cost optimization, revenue growth, and operational efficiency. Desirable Requirements •8 to 12 years of related experience in a relationship selling role •Bachelor's degree Who we are We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here . Job ID:R285937
Feb 27, 2026
Full time
Outside Sales Product Specialist - Data Management, London At Dell Technologies, we create the extraordinary. Our Outside Sales Product Specialists are the experts who sell innovation to the world. Responsible for a set of products and services, they get to know their portfolio inside and out. Our Outside Sales teams rely on them for technical advice during the sales process. They directly advise customers on everything from product features and configurations, through to pricing and availability. We are seeking senior sales candidates with a strong track record selling data management, analytics, MLOps, or AI platforms into large enterprise customers. This role is responsible for new customer acquisition, account expansion, and strategic account growth by positioning modern data platforms as the foundation for enterprise analytics and AI initiatives. Join us to do the best work of your career and make a profound social impact as a Outside Sales Product Specialist on our Product and Solutions Sales Specialist Team in the UK, based London What you'll achieve As an Outside Sales Product Specialist, you will proactively identify and solve customer business needs by providing subject matter expertise and creating solutions using Dell's products and services. You will: •Manage relationships with senior level technical personnel and decision makers •Demonstrate the value of a product and/or service technology to advance customer business objectives •Provide insight and thought leadership to customers concerning applicability of highly complex products and services •Act as a technical resource for the sales organization to help meet and exceed their objectives Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: Core Skills & Key Responsibilities Bring 5+ years of enterprise sales experience in data management and analytics, ideally with vendors such as Databricks, Snowflake, Denodo, Informatica, Teradata, ScaleAI or similar. Develop and execute account strategies aligned to customer data, analytics, and AI transformation initiatives that are focused on Dell's AI Data Platform Data Engines. Engage senior customer stakeholders, including CIOs, CDOs, CTOs, and Heads of Data, Analytics, and AI. Lead value-based sales conversations that connect measurable business ROI based outcomes to the AI Data Platform. Position competitively and win against incumbent and next-generation data platform providers. Demonstrate a strong understanding of modern data architectures (data warehouses, data lakes, lakehouse models, and vector databases for AI/RAG) at a business and value level. Articulate how Dell products enable AI applications through retrieval-augmented generation (RAG) and unstructured data processing for use cases like intelligent search, document analysis, and conversational AI. Position the platform's capabilities for handling unstructured data (documents, images, logs) alongside structured data for comprehensive AI solutions Show familiarity with data engineering, analytics, BI, and data science workflows sufficient to sell AI based outcomes and guide customer conversations. Connect data and AI initiatives to executive priorities such as AI adoption, cost optimization, revenue growth, and operational efficiency. Desirable Requirements •8 to 12 years of related experience in a relationship selling role •Bachelor's degree Who we are We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here . Job ID:R285937
Outside Sales Product Specialist - Data Management, London At Dell Technologies, we create the extraordinary. Our Outside Sales Product Specialists are the experts who sell innovation to the world. Responsible for a set of products and services, they get to know their portfolio inside and out. Our Outside Sales teams rely on them for technical advice during the sales process. They directly advise customers on everything from product features and configurations, through to pricing and availability. We are seeking senior sales candidates with a strong track record selling data management, analytics, MLOps, or AI platforms into large enterprise customers. This role is responsible for new customer acquisition, account expansion, and strategic account growth by positioning modern data platforms as the foundation for enterprise analytics and AI initiatives. Join us to do the best work of your career and make a profound social impact as a Outside Sales Product Specialist on our Product and Solutions Sales Specialist Team in the UK, based London What you'll achieve As an Outside Sales Product Specialist, you will proactively identify and solve customer business needs by providing subject matter expertise and creating solutions using Dell's products and services. You will: •Manage relationships with senior level technical personnel and decision makers •Demonstrate the value of a product and/or service technology to advance customer business objectives •Provide insight and thought leadership to customers concerning applicability of highly complex products and services •Act as a technical resource for the sales organization to help meet and exceed their objectives Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: Core Skills & Key Responsibilities Bring 5+ years of enterprise sales experience in data management and analytics, ideally with vendors such as Databricks, Snowflake, Denodo, Informatica, Teradata, ScaleAI or similar. Develop and execute account strategies aligned to customer data, analytics, and AI transformation initiatives that are focused on Dell's AI Data Platform Data Engines. Engage senior customer stakeholders, including CIOs, CDOs, CTOs, and Heads of Data, Analytics, and AI. Lead value-based sales conversations that connect measurable business ROI based outcomes to the AI Data Platform. Position competitively and win against incumbent and next-generation data platform providers. Demonstrate a strong understanding of modern data architectures (data warehouses, data lakes, lakehouse models, and vector databases for AI/RAG) at a business and value level. Articulate how Dell products enable AI applications through retrieval-augmented generation (RAG) and unstructured data processing for use cases like intelligent search, document analysis, and conversational AI. Position the platform's capabilities for handling unstructured data (documents, images, logs) alongside structured data for comprehensive AI solutions Show familiarity with data engineering, analytics, BI, and data science workflows sufficient to sell AI based outcomes and guide customer conversations. Connect data and AI initiatives to executive priorities such as AI adoption, cost optimization, revenue growth, and operational efficiency. Desirable Requirements •8 to 12 years of related experience in a relationship selling role •Bachelor's degree Who we are We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here . Job ID:R285937
Feb 27, 2026
Full time
Outside Sales Product Specialist - Data Management, London At Dell Technologies, we create the extraordinary. Our Outside Sales Product Specialists are the experts who sell innovation to the world. Responsible for a set of products and services, they get to know their portfolio inside and out. Our Outside Sales teams rely on them for technical advice during the sales process. They directly advise customers on everything from product features and configurations, through to pricing and availability. We are seeking senior sales candidates with a strong track record selling data management, analytics, MLOps, or AI platforms into large enterprise customers. This role is responsible for new customer acquisition, account expansion, and strategic account growth by positioning modern data platforms as the foundation for enterprise analytics and AI initiatives. Join us to do the best work of your career and make a profound social impact as a Outside Sales Product Specialist on our Product and Solutions Sales Specialist Team in the UK, based London What you'll achieve As an Outside Sales Product Specialist, you will proactively identify and solve customer business needs by providing subject matter expertise and creating solutions using Dell's products and services. You will: •Manage relationships with senior level technical personnel and decision makers •Demonstrate the value of a product and/or service technology to advance customer business objectives •Provide insight and thought leadership to customers concerning applicability of highly complex products and services •Act as a technical resource for the sales organization to help meet and exceed their objectives Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: Core Skills & Key Responsibilities Bring 5+ years of enterprise sales experience in data management and analytics, ideally with vendors such as Databricks, Snowflake, Denodo, Informatica, Teradata, ScaleAI or similar. Develop and execute account strategies aligned to customer data, analytics, and AI transformation initiatives that are focused on Dell's AI Data Platform Data Engines. Engage senior customer stakeholders, including CIOs, CDOs, CTOs, and Heads of Data, Analytics, and AI. Lead value-based sales conversations that connect measurable business ROI based outcomes to the AI Data Platform. Position competitively and win against incumbent and next-generation data platform providers. Demonstrate a strong understanding of modern data architectures (data warehouses, data lakes, lakehouse models, and vector databases for AI/RAG) at a business and value level. Articulate how Dell products enable AI applications through retrieval-augmented generation (RAG) and unstructured data processing for use cases like intelligent search, document analysis, and conversational AI. Position the platform's capabilities for handling unstructured data (documents, images, logs) alongside structured data for comprehensive AI solutions Show familiarity with data engineering, analytics, BI, and data science workflows sufficient to sell AI based outcomes and guide customer conversations. Connect data and AI initiatives to executive priorities such as AI adoption, cost optimization, revenue growth, and operational efficiency. Desirable Requirements •8 to 12 years of related experience in a relationship selling role •Bachelor's degree Who we are We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here . Job ID:R285937
Outside Sales Product Specialist - Data Management, London At Dell Technologies, we create the extraordinary. Our Outside Sales Product Specialists are the experts who sell innovation to the world. Responsible for a set of products and services, they get to know their portfolio inside and out. Our Outside Sales teams rely on them for technical advice during the sales process. They directly advise customers on everything from product features and configurations, through to pricing and availability. We are seeking senior sales candidates with a strong track record selling data management, analytics, MLOps, or AI platforms into large enterprise customers. This role is responsible for new customer acquisition, account expansion, and strategic account growth by positioning modern data platforms as the foundation for enterprise analytics and AI initiatives. Join us to do the best work of your career and make a profound social impact as a Outside Sales Product Specialist on our Product and Solutions Sales Specialist Team in the UK, based London What you'll achieve As an Outside Sales Product Specialist, you will proactively identify and solve customer business needs by providing subject matter expertise and creating solutions using Dell's products and services. You will: •Manage relationships with senior level technical personnel and decision makers •Demonstrate the value of a product and/or service technology to advance customer business objectives •Provide insight and thought leadership to customers concerning applicability of highly complex products and services •Act as a technical resource for the sales organization to help meet and exceed their objectives Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: Core Skills & Key Responsibilities Bring 5+ years of enterprise sales experience in data management and analytics, ideally with vendors such as Databricks, Snowflake, Denodo, Informatica, Teradata, ScaleAI or similar. Develop and execute account strategies aligned to customer data, analytics, and AI transformation initiatives that are focused on Dell's AI Data Platform Data Engines. Engage senior customer stakeholders, including CIOs, CDOs, CTOs, and Heads of Data, Analytics, and AI. Lead value-based sales conversations that connect measurable business ROI based outcomes to the AI Data Platform. Position competitively and win against incumbent and next-generation data platform providers. Demonstrate a strong understanding of modern data architectures (data warehouses, data lakes, lakehouse models, and vector databases for AI/RAG) at a business and value level. Articulate how Dell products enable AI applications through retrieval-augmented generation (RAG) and unstructured data processing for use cases like intelligent search, document analysis, and conversational AI. Position the platform's capabilities for handling unstructured data (documents, images, logs) alongside structured data for comprehensive AI solutions Show familiarity with data engineering, analytics, BI, and data science workflows sufficient to sell AI based outcomes and guide customer conversations. Connect data and AI initiatives to executive priorities such as AI adoption, cost optimization, revenue growth, and operational efficiency. Desirable Requirements •8 to 12 years of related experience in a relationship selling role •Bachelor's degree Who we are We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here . Job ID:R285937
Feb 27, 2026
Full time
Outside Sales Product Specialist - Data Management, London At Dell Technologies, we create the extraordinary. Our Outside Sales Product Specialists are the experts who sell innovation to the world. Responsible for a set of products and services, they get to know their portfolio inside and out. Our Outside Sales teams rely on them for technical advice during the sales process. They directly advise customers on everything from product features and configurations, through to pricing and availability. We are seeking senior sales candidates with a strong track record selling data management, analytics, MLOps, or AI platforms into large enterprise customers. This role is responsible for new customer acquisition, account expansion, and strategic account growth by positioning modern data platforms as the foundation for enterprise analytics and AI initiatives. Join us to do the best work of your career and make a profound social impact as a Outside Sales Product Specialist on our Product and Solutions Sales Specialist Team in the UK, based London What you'll achieve As an Outside Sales Product Specialist, you will proactively identify and solve customer business needs by providing subject matter expertise and creating solutions using Dell's products and services. You will: •Manage relationships with senior level technical personnel and decision makers •Demonstrate the value of a product and/or service technology to advance customer business objectives •Provide insight and thought leadership to customers concerning applicability of highly complex products and services •Act as a technical resource for the sales organization to help meet and exceed their objectives Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: Core Skills & Key Responsibilities Bring 5+ years of enterprise sales experience in data management and analytics, ideally with vendors such as Databricks, Snowflake, Denodo, Informatica, Teradata, ScaleAI or similar. Develop and execute account strategies aligned to customer data, analytics, and AI transformation initiatives that are focused on Dell's AI Data Platform Data Engines. Engage senior customer stakeholders, including CIOs, CDOs, CTOs, and Heads of Data, Analytics, and AI. Lead value-based sales conversations that connect measurable business ROI based outcomes to the AI Data Platform. Position competitively and win against incumbent and next-generation data platform providers. Demonstrate a strong understanding of modern data architectures (data warehouses, data lakes, lakehouse models, and vector databases for AI/RAG) at a business and value level. Articulate how Dell products enable AI applications through retrieval-augmented generation (RAG) and unstructured data processing for use cases like intelligent search, document analysis, and conversational AI. Position the platform's capabilities for handling unstructured data (documents, images, logs) alongside structured data for comprehensive AI solutions Show familiarity with data engineering, analytics, BI, and data science workflows sufficient to sell AI based outcomes and guide customer conversations. Connect data and AI initiatives to executive priorities such as AI adoption, cost optimization, revenue growth, and operational efficiency. Desirable Requirements •8 to 12 years of related experience in a relationship selling role •Bachelor's degree Who we are We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here . Job ID:R285937
UK Wide, Work at Home, UK, GB, Sitel UK L Job Description: The Opportunity: We are seeking a dynamic and experienced Senior Analytics Consultant to support the next phase of growth and innovation for Foundever's English-speaking markets. The ideal candidate will be an analytical thinker, naturally inquisitive, with exceptional problem-solving skills. In this role, you will combine industry knowledge with your technical capabilities to deliver analytics & Insight programs for our clients. These will help achieve a range of outcomes including optimising business processes, enhancing customer experiences and growing sales / revenue. You'll work closely with internal stakeholders and client teams to design, pitch and deliver these programs of work across a wide range of sectors. As part of the wider Analytics and Insight community, you will leverage your expertise in data analysis with strong stakeholder management skills to deliver high impact analysis and gain the buy-in of the business, our operations and our clients. Key Responsibilities: Data Analysis General all round understanding of Insight & Analytics solutions and concepts Leading the delivery of analytics across multiple Insight & analytics programs / clients Strong understanding of statistical analysis and modelling techniques. Develop and deliver presentations to client teams, translating complex analysis into clear, actionable recommendations. Work with our BI & reporting team to design and fine tune insight dashboards, reports, and visualizations in Power BI. Provide peer review of project outputs to assure QA standards are met Lead a small team of data professionals (Analytics Consultants, Insight Analysts) Stakeholder Management Partner with clients to understand business objectives and translate them into analytical & insight solutions. Present the findings of your analysis to stakeholders at all levels up to C-suite. Act as a trusted advisor to both operations and our clients, helping them leverage data to achieve their goals. Work closely with internal teams (Operations, Solutions, Client Strategy & Advisory and Account Management) to deliver transformation projects. Collaborate closely with the Data Science & Engineering, Insight and Client Strategy & Advisory. Improvement Projects Develop insight into initiatives that lead to business process, technology or service improvements Support the development of business cases by quantifying the impact of the proposed initiatives, including cost-benefit analysis and ROI predictions. Track the implementation and success of solutions providing feedback and adjustment recommendations when required. Stay up-to-date with the latest analytical tools, techniques and trends to continuously improve the impact and efficiency of analysis. Sales & Solutions Develop business cases and calculate ROI to enable our team to pitch for and win new business or expand our services for existing clients. Working across the wider Data & analytics function to design, develop and deliver repeatable analytics products that are scalable across our EMEA region. Support our Insight & Analytics Director with the development of sales and analytics solutions, which will form part of a proposals to new prospects or the expansion of services for an existing account. Leadership & Strategy Project lead for insight and analytics services across multiple accounts You will be comfortable leading analysis and co-ordinating the work of others with minimal supervision. You can identify and act on opportunities to improve or standardise processes and procedures, enabling our team to achieve better client outcomes and improve working practices for colleagues Development and management of pipeline tracking and project governance Training, coaching and mentoring other in the analytics team to support their development and progression within Foundever Your Profile & Experience: 2+ years in an analytics role in a BPO setting is essential. 2+ years working in the retail sector is essential. 5+ years in a data analytics role within a contact centre is essential. Hands on expertise in programming languages such as SQL, Python or R ideally in a cloud computing environment (ideally MS Azure) Intermediate to expert knowledge of Power BI data visualisation Knowledge of Azure cloud infrastructure e.g. Databricks is preferred but not essential Experience with Alteryx designer is desirable but not essential Experience of working with unstructured data is desirable but not essential Strong communication skills, both written and verbal, with an ability to influence stakeholders. Excellent problem-solving skills and critical thinking ability. Ability to work independently and manage multiple projects in a fast-paced environment. Who are we? Put simply, our mission is to be the solutions and the team behind the best experiences for the world's leading brands. Wherever and whenever needed. With 170,000 people working across the globe, Foundever securely connects brands with their customers 9 million times a day in 60+ languages. Our global footprint makes us one of the few true global players in the BPO industry. The Package: Competitive salary of up to £75K, depending on experience 10% bonus based on company and personal performance 25 day annual leave + standard bank holidays Competitive pension scheme Remote working with limited You will also have the benefit of working for a very secure and stable organisation that provides excellent working conditions and training as well as an aggressive growth strategy for the UK & SA which will open up careers opportunities for the right individual. If this really interests you and you are attracted to pushing yourself to a rewarding career, then please apply now and our Recruitment Team will be more than happy to speak with you.
Feb 27, 2026
Full time
UK Wide, Work at Home, UK, GB, Sitel UK L Job Description: The Opportunity: We are seeking a dynamic and experienced Senior Analytics Consultant to support the next phase of growth and innovation for Foundever's English-speaking markets. The ideal candidate will be an analytical thinker, naturally inquisitive, with exceptional problem-solving skills. In this role, you will combine industry knowledge with your technical capabilities to deliver analytics & Insight programs for our clients. These will help achieve a range of outcomes including optimising business processes, enhancing customer experiences and growing sales / revenue. You'll work closely with internal stakeholders and client teams to design, pitch and deliver these programs of work across a wide range of sectors. As part of the wider Analytics and Insight community, you will leverage your expertise in data analysis with strong stakeholder management skills to deliver high impact analysis and gain the buy-in of the business, our operations and our clients. Key Responsibilities: Data Analysis General all round understanding of Insight & Analytics solutions and concepts Leading the delivery of analytics across multiple Insight & analytics programs / clients Strong understanding of statistical analysis and modelling techniques. Develop and deliver presentations to client teams, translating complex analysis into clear, actionable recommendations. Work with our BI & reporting team to design and fine tune insight dashboards, reports, and visualizations in Power BI. Provide peer review of project outputs to assure QA standards are met Lead a small team of data professionals (Analytics Consultants, Insight Analysts) Stakeholder Management Partner with clients to understand business objectives and translate them into analytical & insight solutions. Present the findings of your analysis to stakeholders at all levels up to C-suite. Act as a trusted advisor to both operations and our clients, helping them leverage data to achieve their goals. Work closely with internal teams (Operations, Solutions, Client Strategy & Advisory and Account Management) to deliver transformation projects. Collaborate closely with the Data Science & Engineering, Insight and Client Strategy & Advisory. Improvement Projects Develop insight into initiatives that lead to business process, technology or service improvements Support the development of business cases by quantifying the impact of the proposed initiatives, including cost-benefit analysis and ROI predictions. Track the implementation and success of solutions providing feedback and adjustment recommendations when required. Stay up-to-date with the latest analytical tools, techniques and trends to continuously improve the impact and efficiency of analysis. Sales & Solutions Develop business cases and calculate ROI to enable our team to pitch for and win new business or expand our services for existing clients. Working across the wider Data & analytics function to design, develop and deliver repeatable analytics products that are scalable across our EMEA region. Support our Insight & Analytics Director with the development of sales and analytics solutions, which will form part of a proposals to new prospects or the expansion of services for an existing account. Leadership & Strategy Project lead for insight and analytics services across multiple accounts You will be comfortable leading analysis and co-ordinating the work of others with minimal supervision. You can identify and act on opportunities to improve or standardise processes and procedures, enabling our team to achieve better client outcomes and improve working practices for colleagues Development and management of pipeline tracking and project governance Training, coaching and mentoring other in the analytics team to support their development and progression within Foundever Your Profile & Experience: 2+ years in an analytics role in a BPO setting is essential. 2+ years working in the retail sector is essential. 5+ years in a data analytics role within a contact centre is essential. Hands on expertise in programming languages such as SQL, Python or R ideally in a cloud computing environment (ideally MS Azure) Intermediate to expert knowledge of Power BI data visualisation Knowledge of Azure cloud infrastructure e.g. Databricks is preferred but not essential Experience with Alteryx designer is desirable but not essential Experience of working with unstructured data is desirable but not essential Strong communication skills, both written and verbal, with an ability to influence stakeholders. Excellent problem-solving skills and critical thinking ability. Ability to work independently and manage multiple projects in a fast-paced environment. Who are we? Put simply, our mission is to be the solutions and the team behind the best experiences for the world's leading brands. Wherever and whenever needed. With 170,000 people working across the globe, Foundever securely connects brands with their customers 9 million times a day in 60+ languages. Our global footprint makes us one of the few true global players in the BPO industry. The Package: Competitive salary of up to £75K, depending on experience 10% bonus based on company and personal performance 25 day annual leave + standard bank holidays Competitive pension scheme Remote working with limited You will also have the benefit of working for a very secure and stable organisation that provides excellent working conditions and training as well as an aggressive growth strategy for the UK & SA which will open up careers opportunities for the right individual. If this really interests you and you are attracted to pushing yourself to a rewarding career, then please apply now and our Recruitment Team will be more than happy to speak with you.
Senior Systems Engineer, Data Management, London Our field sales professionals rely on proactive technical support during the sales process - and our expert Systems Engineering team always steps up to the mark. We lead the development and implementation of complex and specialized products, applications, services and solutions. From delivering sales presentations and product demonstrations, to developing detailed installation or system integration plans, we ensure customers get the innovative, relevant, interoperable solutions they need. Join us to do the best work of your career and make a profound social impact as a Senior Systems Engineer on our Systems Engineering Team in the UK, based London What you'll achieve As a Senior Systems Engineer, you will provide pre-sales technical support to our field sales teams, helping to define the overall Dell Technologies solution for our customers using the full range of company products and services. You will: •Build and lead relationships for highly sophisticated customer accounts •Conduct customer needs analysis and anticipate requirements beyond existing solution's scope •Prepare detailed product specifications to enable the sale of our products and solutions, and deliver impact presentations at customer facilities •Verify operability of sophisticated product and service configurations within the customer's environment • Perform advanced systems integration and provide technical expertise to design and implement the solution Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: Technical Skills Hands-on experience with at least one major cloud data platform (e.g., Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse, or similar). Strong understanding of data warehousing, data lakes/lakehouse, and ETL/ELT concepts (staging, modeling, performance tuning, cost/perf tradeoffs). Data engineering and integration including unstructured data processing (PDFs, logs, images, text) and transformation into structured/vectorized formats Strong SQL skills for analytical queries, performance tuning, and data modeling (star/snowflake schemas, dimensional modeling, partitioning, clustering). Unstructured data & AI/RAG: Understanding of vector databases (e.g., Elasticsearch, Milvus, pgvector), embedding models, and RAG architectures. Familiarity with document processing pipelines, chunking strategies, and semantic search patterns. Familiarity with data pipeline and orchestration tools (e.g., Airflow, dbt, Spark, Kafka, cloud-native ETL tools) and batch vs. streaming patterns. Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/CCPA). Analytics, BI, and data science Ability to design and explain analytics solutions end-to-end: from raw data to dashboards and predictive models. Working knowledge of BI tools (e.g., Tableau, Power BI, Looker, Qlik) and how to connect, model, and optimize for self-service analytics. Familiarity with data science and ML workflows (feature engineering, experimentation, model training/deployment, RAG pipeline development, prompt engineering) and tools/languages such as Python, Spark, notebooks, and ML frameworks (e.g., scikit-learn, MLflow, TensorFlow/PyTorch, LangChain, LlamaIndex at a conceptual level). Consulting Skills Skilled at asking the right questions to uncover technical requirements, constraints, and business drivers. Can translate ambiguous business problems into clear data and analytics use cases. Storytelling & communication Excellent at translating complex technical topics into clear, business-oriented narratives for both technical and non-technical audiences. Comfortable presenting to large groups and senior stakeholders (CIO/CDO, Heads of Data/Analytics). Demo & POC excellence Able to build and deliver compelling demonstrations that tell a story around customer data and use cases, not just features. Can structure and run POCs with clear success criteria, timelines, and executive readouts to accelerate technical win. Competitive positioning Understands the broader data & AI ecosystem and can articulate differentiation versus other data warehouses, data lake/lakehouse platforms, and analytics tools. 5+ years in a customer-facing technical role such as Sales Engineer, Solutions Architect, Data Engineer, Analytics Consultant, or Data Scientist with strong commercial exposure. Proven experience architecting and delivering data management, analytics, or data science solutions in one or more of the following areas: Cloud data warehouse or lakehouse migrations Enterprise BI modernization/self-service analytics GenAI and RAG implementations for enterprise knowledge management, intelligent document processing, or customer-facing AI applications Real-time or streaming analytics Advanced analytics / data science enablement Hands-on experience with at least one major public cloud (AWS, Azure, or GCP) and one or more leading data platforms (e.g., Snowflake, Databricks, Cloudera, BigQuery, Redshift, Synapse) Who we are We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here . Job ID:R285938
Feb 27, 2026
Full time
Senior Systems Engineer, Data Management, London Our field sales professionals rely on proactive technical support during the sales process - and our expert Systems Engineering team always steps up to the mark. We lead the development and implementation of complex and specialized products, applications, services and solutions. From delivering sales presentations and product demonstrations, to developing detailed installation or system integration plans, we ensure customers get the innovative, relevant, interoperable solutions they need. Join us to do the best work of your career and make a profound social impact as a Senior Systems Engineer on our Systems Engineering Team in the UK, based London What you'll achieve As a Senior Systems Engineer, you will provide pre-sales technical support to our field sales teams, helping to define the overall Dell Technologies solution for our customers using the full range of company products and services. You will: •Build and lead relationships for highly sophisticated customer accounts •Conduct customer needs analysis and anticipate requirements beyond existing solution's scope •Prepare detailed product specifications to enable the sale of our products and solutions, and deliver impact presentations at customer facilities •Verify operability of sophisticated product and service configurations within the customer's environment • Perform advanced systems integration and provide technical expertise to design and implement the solution Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: Technical Skills Hands-on experience with at least one major cloud data platform (e.g., Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse, or similar). Strong understanding of data warehousing, data lakes/lakehouse, and ETL/ELT concepts (staging, modeling, performance tuning, cost/perf tradeoffs). Data engineering and integration including unstructured data processing (PDFs, logs, images, text) and transformation into structured/vectorized formats Strong SQL skills for analytical queries, performance tuning, and data modeling (star/snowflake schemas, dimensional modeling, partitioning, clustering). Unstructured data & AI/RAG: Understanding of vector databases (e.g., Elasticsearch, Milvus, pgvector), embedding models, and RAG architectures. Familiarity with document processing pipelines, chunking strategies, and semantic search patterns. Familiarity with data pipeline and orchestration tools (e.g., Airflow, dbt, Spark, Kafka, cloud-native ETL tools) and batch vs. streaming patterns. Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/CCPA). Analytics, BI, and data science Ability to design and explain analytics solutions end-to-end: from raw data to dashboards and predictive models. Working knowledge of BI tools (e.g., Tableau, Power BI, Looker, Qlik) and how to connect, model, and optimize for self-service analytics. Familiarity with data science and ML workflows (feature engineering, experimentation, model training/deployment, RAG pipeline development, prompt engineering) and tools/languages such as Python, Spark, notebooks, and ML frameworks (e.g., scikit-learn, MLflow, TensorFlow/PyTorch, LangChain, LlamaIndex at a conceptual level). Consulting Skills Skilled at asking the right questions to uncover technical requirements, constraints, and business drivers. Can translate ambiguous business problems into clear data and analytics use cases. Storytelling & communication Excellent at translating complex technical topics into clear, business-oriented narratives for both technical and non-technical audiences. Comfortable presenting to large groups and senior stakeholders (CIO/CDO, Heads of Data/Analytics). Demo & POC excellence Able to build and deliver compelling demonstrations that tell a story around customer data and use cases, not just features. Can structure and run POCs with clear success criteria, timelines, and executive readouts to accelerate technical win. Competitive positioning Understands the broader data & AI ecosystem and can articulate differentiation versus other data warehouses, data lake/lakehouse platforms, and analytics tools. 5+ years in a customer-facing technical role such as Sales Engineer, Solutions Architect, Data Engineer, Analytics Consultant, or Data Scientist with strong commercial exposure. Proven experience architecting and delivering data management, analytics, or data science solutions in one or more of the following areas: Cloud data warehouse or lakehouse migrations Enterprise BI modernization/self-service analytics GenAI and RAG implementations for enterprise knowledge management, intelligent document processing, or customer-facing AI applications Real-time or streaming analytics Advanced analytics / data science enablement Hands-on experience with at least one major public cloud (AWS, Azure, or GCP) and one or more leading data platforms (e.g., Snowflake, Databricks, Cloudera, BigQuery, Redshift, Synapse) Who we are We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here . Job ID:R285938
Senior Systems Engineer, Data Management, London Our field sales professionals rely on proactive technical support during the sales process - and our expert Systems Engineering team always steps up to the mark. We lead the development and implementation of complex and specialized products, applications, services and solutions. From delivering sales presentations and product demonstrations, to developing detailed installation or system integration plans, we ensure customers get the innovative, relevant, interoperable solutions they need. Join us to do the best work of your career and make a profound social impact as a Senior Systems Engineer on our Systems Engineering Team in the UK, based London What you'll achieve As a Senior Systems Engineer, you will provide pre-sales technical support to our field sales teams, helping to define the overall Dell Technologies solution for our customers using the full range of company products and services. You will: •Build and lead relationships for highly sophisticated customer accounts •Conduct customer needs analysis and anticipate requirements beyond existing solution's scope •Prepare detailed product specifications to enable the sale of our products and solutions, and deliver impact presentations at customer facilities •Verify operability of sophisticated product and service configurations within the customer's environment • Perform advanced systems integration and provide technical expertise to design and implement the solution Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: Technical Skills Hands-on experience with at least one major cloud data platform (e.g., Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse, or similar). Strong understanding of data warehousing, data lakes/lakehouse, and ETL/ELT concepts (staging, modeling, performance tuning, cost/perf tradeoffs). Data engineering and integration including unstructured data processing (PDFs, logs, images, text) and transformation into structured/vectorized formats Strong SQL skills for analytical queries, performance tuning, and data modeling (star/snowflake schemas, dimensional modeling, partitioning, clustering). Unstructured data & AI/RAG: Understanding of vector databases (e.g., Elasticsearch, Milvus, pgvector), embedding models, and RAG architectures. Familiarity with document processing pipelines, chunking strategies, and semantic search patterns. Familiarity with data pipeline and orchestration tools (e.g., Airflow, dbt, Spark, Kafka, cloud-native ETL tools) and batch vs. streaming patterns. Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/CCPA). Analytics, BI, and data science Ability to design and explain analytics solutions end-to-end: from raw data to dashboards and predictive models. Working knowledge of BI tools (e.g., Tableau, Power BI, Looker, Qlik) and how to connect, model, and optimize for self-service analytics. Familiarity with data science and ML workflows (feature engineering, experimentation, model training/deployment, RAG pipeline development, prompt engineering) and tools/languages such as Python, Spark, notebooks, and ML frameworks (e.g., scikit-learn, MLflow, TensorFlow/PyTorch, LangChain, LlamaIndex at a conceptual level). Consulting Skills Skilled at asking the right questions to uncover technical requirements, constraints, and business drivers. Can translate ambiguous business problems into clear data and analytics use cases. Storytelling & communication Excellent at translating complex technical topics into clear, business-oriented narratives for both technical and non-technical audiences. Comfortable presenting to large groups and senior stakeholders (CIO/CDO, Heads of Data/Analytics). Demo & POC excellence Able to build and deliver compelling demonstrations that tell a story around customer data and use cases, not just features. Can structure and run POCs with clear success criteria, timelines, and executive readouts to accelerate technical win. Competitive positioning Understands the broader data & AI ecosystem and can articulate differentiation versus other data warehouses, data lake/lakehouse platforms, and analytics tools. 5+ years in a customer-facing technical role such as Sales Engineer, Solutions Architect, Data Engineer, Analytics Consultant, or Data Scientist with strong commercial exposure. Proven experience architecting and delivering data management, analytics, or data science solutions in one or more of the following areas: Cloud data warehouse or lakehouse migrations Enterprise BI modernization/self-service analytics GenAI and RAG implementations for enterprise knowledge management, intelligent document processing, or customer-facing AI applications Real-time or streaming analytics Advanced analytics / data science enablement Hands-on experience with at least one major public cloud (AWS, Azure, or GCP) and one or more leading data platforms (e.g., Snowflake, Databricks, Cloudera, BigQuery, Redshift, Synapse) Who we are We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here . Job ID:R285938
Feb 27, 2026
Full time
Senior Systems Engineer, Data Management, London Our field sales professionals rely on proactive technical support during the sales process - and our expert Systems Engineering team always steps up to the mark. We lead the development and implementation of complex and specialized products, applications, services and solutions. From delivering sales presentations and product demonstrations, to developing detailed installation or system integration plans, we ensure customers get the innovative, relevant, interoperable solutions they need. Join us to do the best work of your career and make a profound social impact as a Senior Systems Engineer on our Systems Engineering Team in the UK, based London What you'll achieve As a Senior Systems Engineer, you will provide pre-sales technical support to our field sales teams, helping to define the overall Dell Technologies solution for our customers using the full range of company products and services. You will: •Build and lead relationships for highly sophisticated customer accounts •Conduct customer needs analysis and anticipate requirements beyond existing solution's scope •Prepare detailed product specifications to enable the sale of our products and solutions, and deliver impact presentations at customer facilities •Verify operability of sophisticated product and service configurations within the customer's environment • Perform advanced systems integration and provide technical expertise to design and implement the solution Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: Technical Skills Hands-on experience with at least one major cloud data platform (e.g., Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse, or similar). Strong understanding of data warehousing, data lakes/lakehouse, and ETL/ELT concepts (staging, modeling, performance tuning, cost/perf tradeoffs). Data engineering and integration including unstructured data processing (PDFs, logs, images, text) and transformation into structured/vectorized formats Strong SQL skills for analytical queries, performance tuning, and data modeling (star/snowflake schemas, dimensional modeling, partitioning, clustering). Unstructured data & AI/RAG: Understanding of vector databases (e.g., Elasticsearch, Milvus, pgvector), embedding models, and RAG architectures. Familiarity with document processing pipelines, chunking strategies, and semantic search patterns. Familiarity with data pipeline and orchestration tools (e.g., Airflow, dbt, Spark, Kafka, cloud-native ETL tools) and batch vs. streaming patterns. Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/CCPA). Analytics, BI, and data science Ability to design and explain analytics solutions end-to-end: from raw data to dashboards and predictive models. Working knowledge of BI tools (e.g., Tableau, Power BI, Looker, Qlik) and how to connect, model, and optimize for self-service analytics. Familiarity with data science and ML workflows (feature engineering, experimentation, model training/deployment, RAG pipeline development, prompt engineering) and tools/languages such as Python, Spark, notebooks, and ML frameworks (e.g., scikit-learn, MLflow, TensorFlow/PyTorch, LangChain, LlamaIndex at a conceptual level). Consulting Skills Skilled at asking the right questions to uncover technical requirements, constraints, and business drivers. Can translate ambiguous business problems into clear data and analytics use cases. Storytelling & communication Excellent at translating complex technical topics into clear, business-oriented narratives for both technical and non-technical audiences. Comfortable presenting to large groups and senior stakeholders (CIO/CDO, Heads of Data/Analytics). Demo & POC excellence Able to build and deliver compelling demonstrations that tell a story around customer data and use cases, not just features. Can structure and run POCs with clear success criteria, timelines, and executive readouts to accelerate technical win. Competitive positioning Understands the broader data & AI ecosystem and can articulate differentiation versus other data warehouses, data lake/lakehouse platforms, and analytics tools. 5+ years in a customer-facing technical role such as Sales Engineer, Solutions Architect, Data Engineer, Analytics Consultant, or Data Scientist with strong commercial exposure. Proven experience architecting and delivering data management, analytics, or data science solutions in one or more of the following areas: Cloud data warehouse or lakehouse migrations Enterprise BI modernization/self-service analytics GenAI and RAG implementations for enterprise knowledge management, intelligent document processing, or customer-facing AI applications Real-time or streaming analytics Advanced analytics / data science enablement Hands-on experience with at least one major public cloud (AWS, Azure, or GCP) and one or more leading data platforms (e.g., Snowflake, Databricks, Cloudera, BigQuery, Redshift, Synapse) Who we are We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here . Job ID:R285938
Senior Systems Engineer, Data Management, London Our field sales professionals rely on proactive technical support during the sales process - and our expert Systems Engineering team always steps up to the mark. We lead the development and implementation of complex and specialized products, applications, services and solutions. From delivering sales presentations and product demonstrations, to developing detailed installation or system integration plans, we ensure customers get the innovative, relevant, interoperable solutions they need. Join us to do the best work of your career and make a profound social impact as a Senior Systems Engineer on our Systems Engineering Team in the UK, based London What you'll achieve As a Senior Systems Engineer, you will provide pre-sales technical support to our field sales teams, helping to define the overall Dell Technologies solution for our customers using the full range of company products and services. You will: •Build and lead relationships for highly sophisticated customer accounts •Conduct customer needs analysis and anticipate requirements beyond existing solution's scope •Prepare detailed product specifications to enable the sale of our products and solutions, and deliver impact presentations at customer facilities •Verify operability of sophisticated product and service configurations within the customer's environment • Perform advanced systems integration and provide technical expertise to design and implement the solution Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: Technical Skills Hands-on experience with at least one major cloud data platform (e.g., Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse, or similar). Strong understanding of data warehousing, data lakes/lakehouse, and ETL/ELT concepts (staging, modeling, performance tuning, cost/perf tradeoffs). Data engineering and integration including unstructured data processing (PDFs, logs, images, text) and transformation into structured/vectorized formats Strong SQL skills for analytical queries, performance tuning, and data modeling (star/snowflake schemas, dimensional modeling, partitioning, clustering). Unstructured data & AI/RAG: Understanding of vector databases (e.g., Elasticsearch, Milvus, pgvector), embedding models, and RAG architectures. Familiarity with document processing pipelines, chunking strategies, and semantic search patterns. Familiarity with data pipeline and orchestration tools (e.g., Airflow, dbt, Spark, Kafka, cloud-native ETL tools) and batch vs. streaming patterns. Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/CCPA). Analytics, BI, and data science Ability to design and explain analytics solutions end-to-end: from raw data to dashboards and predictive models. Working knowledge of BI tools (e.g., Tableau, Power BI, Looker, Qlik) and how to connect, model, and optimize for self-service analytics. Familiarity with data science and ML workflows (feature engineering, experimentation, model training/deployment, RAG pipeline development, prompt engineering) and tools/languages such as Python, Spark, notebooks, and ML frameworks (e.g., scikit-learn, MLflow, TensorFlow/PyTorch, LangChain, LlamaIndex at a conceptual level). Consulting Skills Skilled at asking the right questions to uncover technical requirements, constraints, and business drivers. Can translate ambiguous business problems into clear data and analytics use cases. Storytelling & communication Excellent at translating complex technical topics into clear, business-oriented narratives for both technical and non-technical audiences. Comfortable presenting to large groups and senior stakeholders (CIO/CDO, Heads of Data/Analytics). Demo & POC excellence Able to build and deliver compelling demonstrations that tell a story around customer data and use cases, not just features. Can structure and run POCs with clear success criteria, timelines, and executive readouts to accelerate technical win. Competitive positioning Understands the broader data & AI ecosystem and can articulate differentiation versus other data warehouses, data lake/lakehouse platforms, and analytics tools. 5+ years in a customer-facing technical role such as Sales Engineer, Solutions Architect, Data Engineer, Analytics Consultant, or Data Scientist with strong commercial exposure. Proven experience architecting and delivering data management, analytics, or data science solutions in one or more of the following areas: Cloud data warehouse or lakehouse migrations Enterprise BI modernization/self-service analytics GenAI and RAG implementations for enterprise knowledge management, intelligent document processing, or customer-facing AI applications Real-time or streaming analytics Advanced analytics / data science enablement Hands-on experience with at least one major public cloud (AWS, Azure, or GCP) and one or more leading data platforms (e.g., Snowflake, Databricks, Cloudera, BigQuery, Redshift, Synapse) Who we are We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here . Job ID:R285938
Feb 27, 2026
Full time
Senior Systems Engineer, Data Management, London Our field sales professionals rely on proactive technical support during the sales process - and our expert Systems Engineering team always steps up to the mark. We lead the development and implementation of complex and specialized products, applications, services and solutions. From delivering sales presentations and product demonstrations, to developing detailed installation or system integration plans, we ensure customers get the innovative, relevant, interoperable solutions they need. Join us to do the best work of your career and make a profound social impact as a Senior Systems Engineer on our Systems Engineering Team in the UK, based London What you'll achieve As a Senior Systems Engineer, you will provide pre-sales technical support to our field sales teams, helping to define the overall Dell Technologies solution for our customers using the full range of company products and services. You will: •Build and lead relationships for highly sophisticated customer accounts •Conduct customer needs analysis and anticipate requirements beyond existing solution's scope •Prepare detailed product specifications to enable the sale of our products and solutions, and deliver impact presentations at customer facilities •Verify operability of sophisticated product and service configurations within the customer's environment • Perform advanced systems integration and provide technical expertise to design and implement the solution Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: Technical Skills Hands-on experience with at least one major cloud data platform (e.g., Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse, or similar). Strong understanding of data warehousing, data lakes/lakehouse, and ETL/ELT concepts (staging, modeling, performance tuning, cost/perf tradeoffs). Data engineering and integration including unstructured data processing (PDFs, logs, images, text) and transformation into structured/vectorized formats Strong SQL skills for analytical queries, performance tuning, and data modeling (star/snowflake schemas, dimensional modeling, partitioning, clustering). Unstructured data & AI/RAG: Understanding of vector databases (e.g., Elasticsearch, Milvus, pgvector), embedding models, and RAG architectures. Familiarity with document processing pipelines, chunking strategies, and semantic search patterns. Familiarity with data pipeline and orchestration tools (e.g., Airflow, dbt, Spark, Kafka, cloud-native ETL tools) and batch vs. streaming patterns. Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/CCPA). Analytics, BI, and data science Ability to design and explain analytics solutions end-to-end: from raw data to dashboards and predictive models. Working knowledge of BI tools (e.g., Tableau, Power BI, Looker, Qlik) and how to connect, model, and optimize for self-service analytics. Familiarity with data science and ML workflows (feature engineering, experimentation, model training/deployment, RAG pipeline development, prompt engineering) and tools/languages such as Python, Spark, notebooks, and ML frameworks (e.g., scikit-learn, MLflow, TensorFlow/PyTorch, LangChain, LlamaIndex at a conceptual level). Consulting Skills Skilled at asking the right questions to uncover technical requirements, constraints, and business drivers. Can translate ambiguous business problems into clear data and analytics use cases. Storytelling & communication Excellent at translating complex technical topics into clear, business-oriented narratives for both technical and non-technical audiences. Comfortable presenting to large groups and senior stakeholders (CIO/CDO, Heads of Data/Analytics). Demo & POC excellence Able to build and deliver compelling demonstrations that tell a story around customer data and use cases, not just features. Can structure and run POCs with clear success criteria, timelines, and executive readouts to accelerate technical win. Competitive positioning Understands the broader data & AI ecosystem and can articulate differentiation versus other data warehouses, data lake/lakehouse platforms, and analytics tools. 5+ years in a customer-facing technical role such as Sales Engineer, Solutions Architect, Data Engineer, Analytics Consultant, or Data Scientist with strong commercial exposure. Proven experience architecting and delivering data management, analytics, or data science solutions in one or more of the following areas: Cloud data warehouse or lakehouse migrations Enterprise BI modernization/self-service analytics GenAI and RAG implementations for enterprise knowledge management, intelligent document processing, or customer-facing AI applications Real-time or streaming analytics Advanced analytics / data science enablement Hands-on experience with at least one major public cloud (AWS, Azure, or GCP) and one or more leading data platforms (e.g., Snowflake, Databricks, Cloudera, BigQuery, Redshift, Synapse) Who we are We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here . Job ID:R285938
Senior Systems Engineer, Data Management, London Our field sales professionals rely on proactive technical support during the sales process - and our expert Systems Engineering team always steps up to the mark. We lead the development and implementation of complex and specialized products, applications, services and solutions. From delivering sales presentations and product demonstrations, to developing detailed installation or system integration plans, we ensure customers get the innovative, relevant, interoperable solutions they need. Join us to do the best work of your career and make a profound social impact as a Senior Systems Engineer on our Systems Engineering Team in the UK, based London What you'll achieve As a Senior Systems Engineer, you will provide pre-sales technical support to our field sales teams, helping to define the overall Dell Technologies solution for our customers using the full range of company products and services. You will: •Build and lead relationships for highly sophisticated customer accounts •Conduct customer needs analysis and anticipate requirements beyond existing solution's scope •Prepare detailed product specifications to enable the sale of our products and solutions, and deliver impact presentations at customer facilities •Verify operability of sophisticated product and service configurations within the customer's environment • Perform advanced systems integration and provide technical expertise to design and implement the solution Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: Technical Skills Hands-on experience with at least one major cloud data platform (e.g., Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse, or similar). Strong understanding of data warehousing, data lakes/lakehouse, and ETL/ELT concepts (staging, modeling, performance tuning, cost/perf tradeoffs). Data engineering and integration including unstructured data processing (PDFs, logs, images, text) and transformation into structured/vectorized formats Strong SQL skills for analytical queries, performance tuning, and data modeling (star/snowflake schemas, dimensional modeling, partitioning, clustering). Unstructured data & AI/RAG: Understanding of vector databases (e.g., Elasticsearch, Milvus, pgvector), embedding models, and RAG architectures. Familiarity with document processing pipelines, chunking strategies, and semantic search patterns. Familiarity with data pipeline and orchestration tools (e.g., Airflow, dbt, Spark, Kafka, cloud-native ETL tools) and batch vs. streaming patterns. Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/CCPA). Analytics, BI, and data science Ability to design and explain analytics solutions end-to-end: from raw data to dashboards and predictive models. Working knowledge of BI tools (e.g., Tableau, Power BI, Looker, Qlik) and how to connect, model, and optimize for self-service analytics. Familiarity with data science and ML workflows (feature engineering, experimentation, model training/deployment, RAG pipeline development, prompt engineering) and tools/languages such as Python, Spark, notebooks, and ML frameworks (e.g., scikit-learn, MLflow, TensorFlow/PyTorch, LangChain, LlamaIndex at a conceptual level). Consulting Skills Skilled at asking the right questions to uncover technical requirements, constraints, and business drivers. Can translate ambiguous business problems into clear data and analytics use cases. Storytelling & communication Excellent at translating complex technical topics into clear, business-oriented narratives for both technical and non-technical audiences. Comfortable presenting to large groups and senior stakeholders (CIO/CDO, Heads of Data/Analytics). Demo & POC excellence Able to build and deliver compelling demonstrations that tell a story around customer data and use cases, not just features. Can structure and run POCs with clear success criteria, timelines, and executive readouts to accelerate technical win. Competitive positioning Understands the broader data & AI ecosystem and can articulate differentiation versus other data warehouses, data lake/lakehouse platforms, and analytics tools. 5+ years in a customer-facing technical role such as Sales Engineer, Solutions Architect, Data Engineer, Analytics Consultant, or Data Scientist with strong commercial exposure. Proven experience architecting and delivering data management, analytics, or data science solutions in one or more of the following areas: Cloud data warehouse or lakehouse migrations Enterprise BI modernization/self-service analytics GenAI and RAG implementations for enterprise knowledge management, intelligent document processing, or customer-facing AI applications Real-time or streaming analytics Advanced analytics / data science enablement Hands-on experience with at least one major public cloud (AWS, Azure, or GCP) and one or more leading data platforms (e.g., Snowflake, Databricks, Cloudera, BigQuery, Redshift, Synapse) Who we are We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here . Job ID:R285938
Feb 27, 2026
Full time
Senior Systems Engineer, Data Management, London Our field sales professionals rely on proactive technical support during the sales process - and our expert Systems Engineering team always steps up to the mark. We lead the development and implementation of complex and specialized products, applications, services and solutions. From delivering sales presentations and product demonstrations, to developing detailed installation or system integration plans, we ensure customers get the innovative, relevant, interoperable solutions they need. Join us to do the best work of your career and make a profound social impact as a Senior Systems Engineer on our Systems Engineering Team in the UK, based London What you'll achieve As a Senior Systems Engineer, you will provide pre-sales technical support to our field sales teams, helping to define the overall Dell Technologies solution for our customers using the full range of company products and services. You will: •Build and lead relationships for highly sophisticated customer accounts •Conduct customer needs analysis and anticipate requirements beyond existing solution's scope •Prepare detailed product specifications to enable the sale of our products and solutions, and deliver impact presentations at customer facilities •Verify operability of sophisticated product and service configurations within the customer's environment • Perform advanced systems integration and provide technical expertise to design and implement the solution Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: Technical Skills Hands-on experience with at least one major cloud data platform (e.g., Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse, or similar). Strong understanding of data warehousing, data lakes/lakehouse, and ETL/ELT concepts (staging, modeling, performance tuning, cost/perf tradeoffs). Data engineering and integration including unstructured data processing (PDFs, logs, images, text) and transformation into structured/vectorized formats Strong SQL skills for analytical queries, performance tuning, and data modeling (star/snowflake schemas, dimensional modeling, partitioning, clustering). Unstructured data & AI/RAG: Understanding of vector databases (e.g., Elasticsearch, Milvus, pgvector), embedding models, and RAG architectures. Familiarity with document processing pipelines, chunking strategies, and semantic search patterns. Familiarity with data pipeline and orchestration tools (e.g., Airflow, dbt, Spark, Kafka, cloud-native ETL tools) and batch vs. streaming patterns. Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/CCPA). Analytics, BI, and data science Ability to design and explain analytics solutions end-to-end: from raw data to dashboards and predictive models. Working knowledge of BI tools (e.g., Tableau, Power BI, Looker, Qlik) and how to connect, model, and optimize for self-service analytics. Familiarity with data science and ML workflows (feature engineering, experimentation, model training/deployment, RAG pipeline development, prompt engineering) and tools/languages such as Python, Spark, notebooks, and ML frameworks (e.g., scikit-learn, MLflow, TensorFlow/PyTorch, LangChain, LlamaIndex at a conceptual level). Consulting Skills Skilled at asking the right questions to uncover technical requirements, constraints, and business drivers. Can translate ambiguous business problems into clear data and analytics use cases. Storytelling & communication Excellent at translating complex technical topics into clear, business-oriented narratives for both technical and non-technical audiences. Comfortable presenting to large groups and senior stakeholders (CIO/CDO, Heads of Data/Analytics). Demo & POC excellence Able to build and deliver compelling demonstrations that tell a story around customer data and use cases, not just features. Can structure and run POCs with clear success criteria, timelines, and executive readouts to accelerate technical win. Competitive positioning Understands the broader data & AI ecosystem and can articulate differentiation versus other data warehouses, data lake/lakehouse platforms, and analytics tools. 5+ years in a customer-facing technical role such as Sales Engineer, Solutions Architect, Data Engineer, Analytics Consultant, or Data Scientist with strong commercial exposure. Proven experience architecting and delivering data management, analytics, or data science solutions in one or more of the following areas: Cloud data warehouse or lakehouse migrations Enterprise BI modernization/self-service analytics GenAI and RAG implementations for enterprise knowledge management, intelligent document processing, or customer-facing AI applications Real-time or streaming analytics Advanced analytics / data science enablement Hands-on experience with at least one major public cloud (AWS, Azure, or GCP) and one or more leading data platforms (e.g., Snowflake, Databricks, Cloudera, BigQuery, Redshift, Synapse) Who we are We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here . Job ID:R285938
A leading financial markets provider in Edinburgh is seeking a Senior Software Engineer to deliver cloud-native solutions and optimize data platforms using Azure and Databricks. The role involves collaborating with clients, architecting solutions, and supporting high-throughput systems. With proven experience in .NET and strong SQL skills, candidates will contribute to the product strategy and mentoring of team members. This position offers dynamic working conditions and a focus on professional growth in a supportive environment.
Feb 25, 2026
Full time
A leading financial markets provider in Edinburgh is seeking a Senior Software Engineer to deliver cloud-native solutions and optimize data platforms using Azure and Databricks. The role involves collaborating with clients, architecting solutions, and supporting high-throughput systems. With proven experience in .NET and strong SQL skills, candidates will contribute to the product strategy and mentoring of team members. This position offers dynamic working conditions and a focus on professional growth in a supportive environment.
Role Description The Senior Software Engineer (SSE) will collaborate closely with clients and internal team members under the direction of the Development Lead to play a key role in delivering software development, cloud engineering, and support services. The SSE will ensure that the organisation maintains clear, scalable code, robust testing practices, effective support processes, and high quality user documentation.This role involves architecting and developing cloud native solutions, administering Azure and environments, and working extensively with Databricks and latest data processing technologies It also requires supporting the evolution of a large-scale data distribution platform, delivering data via both real-time and RESTful APIs.Strong technical capability, excellent communication, the ability to understand business requirements, and the capacity to deliver secure, reliable, and scalable solutions are essential. The role also includes contributing positively to the ongoing development of the engineering team and the broader technology function. Responsibilities Technology, Delivery & Architecture Contribute to the product roadmap, architecture, cloud strategy, and long-term technical direction. Design, develop, and maintain high-quality software aligned with business requirements and engineering guidelines. Build and operate cloud-native applications and infrastructure using Azure , and latest distributed systems patterns. Develop and optimise data pipelines and analytics workloads using Azure Databricks . Engineer real-time and batch data processing capabilities using streaming technologies. Implement Infrastructure-as-Code (Terraform) and deliver through CI/CD pipelines with automated testing. Testing, Support & Operations Work with QA teams to define and validate test result. Provide application support to internal teams and clients in line with agreed SLAs. Administer and optimise cloud-hosted infrastructure, including observability, cost management, and security controls. Identify and implement service improvements across software, data, and platform components. Ensure compliance with organisational change, controlled releases, and documentation standards. Collaboration, Leadership & People Support business process change, initiatives with technical analysis and solution design. Contribute to mentoring, and development of engineering team members. Communicate progress, risks, and technical considerations clearly to collaborators. Help establish and maintain engineering standards and procedures. Technology You'll Work With You will work on the latest, cloud native data platform built primarily on Microsoft Azure , with opportunities to shape its long-term evolution. The environment supports large-scale, business-critical workloads across both real-time streaming and batch processing . Data & Processing Azure Databricks, Apache Spark, Delta Lake Structured streaming, schema management, event-driven architectures Kafka and Azure Event Hubs for high-throughput data ingestion Storage & Serving ADLS Gen2 and Delta tables as primary storage Additional tools such as Azure Data Explorer, Cosmos DB where appropriate Languages & Tooling .NET, SQL, Python, Scala Git-based workflows, Infrastructure as Code, CI/CD, automated tests Observability via Datadog, Azure MonitorReliability, observability, and secure, automated delivery practices are core principles. Minimum Qualifications You bring: Proven experience building and operating distributed or analytics-heavy systems. Hands-on experience with Azure and familiarity with AWS. Practical experience operating Databricks for both streaming and batch workloads. Strong SQL skills, data modelling expertise, and performance optimisation on large datasets. Proven understanding of distributed systems fundamentals (fault tolerance, stateful processing, resilience patterns). Experience supporting high-throughput, low-latency, or data-intensive systems. Proficiency in .NET. Ability to influence technical direction and mentor engineers. Nice to Have Experience with Delta Live Tables, Unity Catalog, or Lakehouse governance Familiarity with Flink, ADX Background in low latency, or performance-sensitive environments (e.g., finance, trading, telemetry) Critical Success Factors Consistent delivery of high-quality cloud, data, and software solutions Strong consistency to product organisational change and engineering standards Production of clear test scripts, documentation, and support materials Effective communication within engineering and client contexts Solid database knowledge Ability to collaborate, build trust, and maintain high professional standards Personal Attributes Honesty and trustworthiness Respect for others Cultural awareness and sensitivity Flexibility and adaptability Strong work ethic and accountability Proactive, continuous-learning demeanor Career Stage: Senior Associate London Stock Exchange Group (LSEG) Information: Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership , Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone's race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.Please take a moment to read this carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it's used for, and how it's obtained, .If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.LSEG (London Stock Exchange Group) is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. Our culture of connecting, creating opportunity and delivering excellence shapes how we think, how we do things and how we help our
Feb 24, 2026
Full time
Role Description The Senior Software Engineer (SSE) will collaborate closely with clients and internal team members under the direction of the Development Lead to play a key role in delivering software development, cloud engineering, and support services. The SSE will ensure that the organisation maintains clear, scalable code, robust testing practices, effective support processes, and high quality user documentation.This role involves architecting and developing cloud native solutions, administering Azure and environments, and working extensively with Databricks and latest data processing technologies It also requires supporting the evolution of a large-scale data distribution platform, delivering data via both real-time and RESTful APIs.Strong technical capability, excellent communication, the ability to understand business requirements, and the capacity to deliver secure, reliable, and scalable solutions are essential. The role also includes contributing positively to the ongoing development of the engineering team and the broader technology function. Responsibilities Technology, Delivery & Architecture Contribute to the product roadmap, architecture, cloud strategy, and long-term technical direction. Design, develop, and maintain high-quality software aligned with business requirements and engineering guidelines. Build and operate cloud-native applications and infrastructure using Azure , and latest distributed systems patterns. Develop and optimise data pipelines and analytics workloads using Azure Databricks . Engineer real-time and batch data processing capabilities using streaming technologies. Implement Infrastructure-as-Code (Terraform) and deliver through CI/CD pipelines with automated testing. Testing, Support & Operations Work with QA teams to define and validate test result. Provide application support to internal teams and clients in line with agreed SLAs. Administer and optimise cloud-hosted infrastructure, including observability, cost management, and security controls. Identify and implement service improvements across software, data, and platform components. Ensure compliance with organisational change, controlled releases, and documentation standards. Collaboration, Leadership & People Support business process change, initiatives with technical analysis and solution design. Contribute to mentoring, and development of engineering team members. Communicate progress, risks, and technical considerations clearly to collaborators. Help establish and maintain engineering standards and procedures. Technology You'll Work With You will work on the latest, cloud native data platform built primarily on Microsoft Azure , with opportunities to shape its long-term evolution. The environment supports large-scale, business-critical workloads across both real-time streaming and batch processing . Data & Processing Azure Databricks, Apache Spark, Delta Lake Structured streaming, schema management, event-driven architectures Kafka and Azure Event Hubs for high-throughput data ingestion Storage & Serving ADLS Gen2 and Delta tables as primary storage Additional tools such as Azure Data Explorer, Cosmos DB where appropriate Languages & Tooling .NET, SQL, Python, Scala Git-based workflows, Infrastructure as Code, CI/CD, automated tests Observability via Datadog, Azure MonitorReliability, observability, and secure, automated delivery practices are core principles. Minimum Qualifications You bring: Proven experience building and operating distributed or analytics-heavy systems. Hands-on experience with Azure and familiarity with AWS. Practical experience operating Databricks for both streaming and batch workloads. Strong SQL skills, data modelling expertise, and performance optimisation on large datasets. Proven understanding of distributed systems fundamentals (fault tolerance, stateful processing, resilience patterns). Experience supporting high-throughput, low-latency, or data-intensive systems. Proficiency in .NET. Ability to influence technical direction and mentor engineers. Nice to Have Experience with Delta Live Tables, Unity Catalog, or Lakehouse governance Familiarity with Flink, ADX Background in low latency, or performance-sensitive environments (e.g., finance, trading, telemetry) Critical Success Factors Consistent delivery of high-quality cloud, data, and software solutions Strong consistency to product organisational change and engineering standards Production of clear test scripts, documentation, and support materials Effective communication within engineering and client contexts Solid database knowledge Ability to collaborate, build trust, and maintain high professional standards Personal Attributes Honesty and trustworthiness Respect for others Cultural awareness and sensitivity Flexibility and adaptability Strong work ethic and accountability Proactive, continuous-learning demeanor Career Stage: Senior Associate London Stock Exchange Group (LSEG) Information: Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership , Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone's race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.Please take a moment to read this carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it's used for, and how it's obtained, .If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.LSEG (London Stock Exchange Group) is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. Our culture of connecting, creating opportunity and delivering excellence shapes how we think, how we do things and how we help our
