Senior Data Engineer - Databricks - SC Cleared SR2 is supporting a critical greenfield transformation programme within the public sector and is urgently seeking a Senior Data Engineer/Architect with deep Databricks experience to help set the direction and strategy of a greenfield project. This is a strategic role for someone who has not only delivered, but led end-to-end Databricks implementations, ideally across multiple programmes. You'll be defining technical architecture, leading Proof of Concepts (PoCs), and building out a modern data platform from scratch in a highly visible public sector environment. Key Responsibilities: Act as the technical lead for a new Databricks implementation, working from greenfield through to full production deployment. Own and deliver streaming and batch data pipelines in Databricks for complex, sensitive use cases. Lead PoCs with hyperscalers to assess and select appropriate data services and tooling. Collaborate with engineering teams, stakeholders, and partners to ensure scalability, performance, and compliance. Document best practices, decisions, and technical architecture to support future scaling and handover. Essential Experience: 2-3+ years of strong, hands-on Databricks experience, including having led implementations from setup through to production. Demonstrable track record of delivering greenfield or ground-up data platform builds. Strong Python skills for data transformation and orchestration. Deep understanding of modern data architectures, pipelines, and cloud-native solutions - especially AWS. Able to operate strategically (architecture, direction-setting) and tactically (hands-on engineering). Active SC Clearance (must be current).
Feb 05, 2026
Contractor
Senior Data Engineer - Databricks - SC Cleared SR2 is supporting a critical greenfield transformation programme within the public sector and is urgently seeking a Senior Data Engineer/Architect with deep Databricks experience to help set the direction and strategy of a greenfield project. This is a strategic role for someone who has not only delivered, but led end-to-end Databricks implementations, ideally across multiple programmes. You'll be defining technical architecture, leading Proof of Concepts (PoCs), and building out a modern data platform from scratch in a highly visible public sector environment. Key Responsibilities: Act as the technical lead for a new Databricks implementation, working from greenfield through to full production deployment. Own and deliver streaming and batch data pipelines in Databricks for complex, sensitive use cases. Lead PoCs with hyperscalers to assess and select appropriate data services and tooling. Collaborate with engineering teams, stakeholders, and partners to ensure scalability, performance, and compliance. Document best practices, decisions, and technical architecture to support future scaling and handover. Essential Experience: 2-3+ years of strong, hands-on Databricks experience, including having led implementations from setup through to production. Demonstrable track record of delivering greenfield or ground-up data platform builds. Strong Python skills for data transformation and orchestration. Deep understanding of modern data architectures, pipelines, and cloud-native solutions - especially AWS. Able to operate strategically (architecture, direction-setting) and tactically (hands-on engineering). Active SC Clearance (must be current).
Data Platform Lead London/Hybrid circa £115k + excellent bonus + fantastic benefits A highly talented Data Platform Lead is sought by a prestigious Financial Services organisation. This is a deeply technical role at its core, requiring candidates who have built and evolved enterprise-scale data platforms and data models. You must bring strong hands-on experience as a data engineer or equivalent and be comfortable operating directly in modern cloud data platforms while influencing senior stakeholders. You will play a pivotal role in defining and delivering a shared enterprise data model spanning multiple business divisions and geographies. This role sits at the intersection of engineering execution and commercial impact; you will be expected to both design the solution and help build it. You will help guide the integration of data across multiple divisions and geographies, driving consistency, clarity, and long-term value from complex and often fragmented data landscapes. Key Responsibilities Lead the hands-on design and evolution of a shared enterprise data model across wealth and asset management divisions Architect and guide the integration of data from multiple source systems into a unified, scalable platform Work closely with regional data and AI leads globally to ensure local engineering decisions align with global architecture standards Partner with senior business stakeholders to define data concepts, entities, and metrics, resolving ambiguity through technical clarity Perform deep technical gap analysis of existing data models, pipelines, and platform capabilities Propose initial data model structures and iterate them collaboratively through real implementation Contribute hands-on to data engineering work where required - this role retains a strong technical component Build and evolve high-quality data products that directly support reporting, analytics, and strategic decision-making Required 10+ years' experience in data engineering, analytics engineering, or equivalent roles A strong hands-on background building modern data platforms - not just overseeing them Proven experience designing and evolving enterprise-wide data models Demonstrable ability to reconcile and integrate data from multiple disparate systems Deep familiarity with modern cloud data architectures and tooling (eg Azure Data Factory, Databricks, lakehouse and/or data warehouse patterns) Experience delivering large-scale, multi-division data initiatives within financial services Comfortable working directly with business stakeholders while maintaining technical ownership of solutions Ability to operate effectively in environments with incomplete requirements and complex Legacy data WhyThis Role? Shape a greenfield and evolving enterprise data model with real ownership and influence High-visibility position working across regions and senior leadership Opportunity to remain technical while stepping into broader data leadership Play a defining role in the maturation of an enterprise-scale data function For a full consultation on this exciting new role, please get in touch with Arc IT Recruitment today!
Feb 05, 2026
Full time
Data Platform Lead London/Hybrid circa £115k + excellent bonus + fantastic benefits A highly talented Data Platform Lead is sought by a prestigious Financial Services organisation. This is a deeply technical role at its core, requiring candidates who have built and evolved enterprise-scale data platforms and data models. You must bring strong hands-on experience as a data engineer or equivalent and be comfortable operating directly in modern cloud data platforms while influencing senior stakeholders. You will play a pivotal role in defining and delivering a shared enterprise data model spanning multiple business divisions and geographies. This role sits at the intersection of engineering execution and commercial impact; you will be expected to both design the solution and help build it. You will help guide the integration of data across multiple divisions and geographies, driving consistency, clarity, and long-term value from complex and often fragmented data landscapes. Key Responsibilities Lead the hands-on design and evolution of a shared enterprise data model across wealth and asset management divisions Architect and guide the integration of data from multiple source systems into a unified, scalable platform Work closely with regional data and AI leads globally to ensure local engineering decisions align with global architecture standards Partner with senior business stakeholders to define data concepts, entities, and metrics, resolving ambiguity through technical clarity Perform deep technical gap analysis of existing data models, pipelines, and platform capabilities Propose initial data model structures and iterate them collaboratively through real implementation Contribute hands-on to data engineering work where required - this role retains a strong technical component Build and evolve high-quality data products that directly support reporting, analytics, and strategic decision-making Required 10+ years' experience in data engineering, analytics engineering, or equivalent roles A strong hands-on background building modern data platforms - not just overseeing them Proven experience designing and evolving enterprise-wide data models Demonstrable ability to reconcile and integrate data from multiple disparate systems Deep familiarity with modern cloud data architectures and tooling (eg Azure Data Factory, Databricks, lakehouse and/or data warehouse patterns) Experience delivering large-scale, multi-division data initiatives within financial services Comfortable working directly with business stakeholders while maintaining technical ownership of solutions Ability to operate effectively in environments with incomplete requirements and complex Legacy data WhyThis Role? Shape a greenfield and evolving enterprise data model with real ownership and influence High-visibility position working across regions and senior leadership Opportunity to remain technical while stepping into broader data leadership Play a defining role in the maturation of an enterprise-scale data function For a full consultation on this exciting new role, please get in touch with Arc IT Recruitment today!
Designation Senior Principal Analyst Function Sales Enablement Experience 5-10 years Location United Kingdom - Edinburgh, London, Manchester Skills AI, Machine Learning, Solution Architecture You'll be part of a collaborative, entrepreneurial environment that values innovation, excellence, and thought leadership. This is more than a sales-adjacent role - it's your opportunity to shape the future of data & AI consulting and lead from the front as businesses navigate the next wave of intelligent transformation. If you're ready to bring bold ideas to life and influence how data & AI transforms industries - we'd love to hear from you. Requirements GlobalLogic is seeking a Go-to-Market (GTM) Solutions Architect for AI/ML solutions to drive the growth of our pipeline in our Intelligent Enterprise practice in the UK & Ireland. This is a high-impact role at the intersection of technology, consulting, and innovation - shaping and scaling our Data & AI offerings across four transformative domains: Data Platforms Data & ML Operations Generative & Agentic AI You'll partner with Sales, Marketing, and Delivery teams to co-create solutions, design winning proposals, and accelerate business growth. Ideal for senior data consultants, data architects, or pre-sales experts, this is a chance to lead at the forefront of data & AI innovation during a period of exciting expansion for GlobalLogic. What You'll Bring We're looking for a candidate who blends deep technical expertise with strong commercial instincts and a passion for AI-driven transformation. You should have: 5+ years of consulting and/or delivery experience in data & AI, ideally within professional services or a high-growth tech environment. A successful track record of developing and closing £M+ data & AI deals with business stakeholders. Strong expertise in AI/ML market offerings and related solutions (Gen AI, Agentic AI, ML Ops, Model Ops) as well as one or more other core technology areas - such as modern data platforms, data product engineering, data marketplace architecture, data developer portals, platform engineering. Experience co-selling partner solutions with hyperscalers or platforms (e.g. AWS, Azure, GCP, Snowflake, Databricks). Outstanding communication skills - able to translate complex ideas for both technical and business audiences. Demonstrated thought leadership in AI/ML such as speaking at industry events, contributing to whitepapers, mentoring, and publishing technical insights. A global mindset, with experience working across geographies including India, Eastern Europe, and North America. Job responsibilities Design, refine, and package cutting-edge data & AI offerings for GlobalLogic's customers - primarily focused on AI & ML engineering & operations Lead technical pre-sales activities including workshops, PoCs, proposals, RFIs/RFPs, SoWs, and cost modelling. Provide strategic and technical guidance to internal teams and clients. Collaborate with adjacent GTM teams to build holistic, market-leading propositions. Stay current with evolving AI/ML technologies. Cultivate strong relationships with technology partners to co-develop joint solutions. What we offer Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you'll experience an inclusive culture of acceptance and belonging, where you'll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. Learning and development. We are committed to your continuous learning and development. You'll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally. Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you'll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what's possible and bring new solutions to market. In the process, you'll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today. Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way! High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you're placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do. About GlobalLogic GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world's largest and most forward-thinking companies. Since 2000, we've been at the forefront of the digital revolution - helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services. Apply Now First Name Last Name Email Phone Gender The gender information on this form helps us understand the makeup of our applicant pool in this key area, and to continuously improve our efforts to make our workforce more inclusive. Country of Residence City How did you hear about this job? Upload Resume / Share LinkedIn Profile Drag and drop your file here or click here to upload Only .docx, .rtf, .pdf formats allowed to a max size of 5 MB. Alternately you can include your Linkedin profile I want to be considered for future open positions within the GlobalLogic group. Your data will be kept in GlobalLogic's database for 3 years. You can withdraw your consent at any time by contacting . You can find more information about how GlobalLogic processes your personal data and what your rights are in the Recruitment Privacy Notice .
Feb 02, 2026
Full time
Designation Senior Principal Analyst Function Sales Enablement Experience 5-10 years Location United Kingdom - Edinburgh, London, Manchester Skills AI, Machine Learning, Solution Architecture You'll be part of a collaborative, entrepreneurial environment that values innovation, excellence, and thought leadership. This is more than a sales-adjacent role - it's your opportunity to shape the future of data & AI consulting and lead from the front as businesses navigate the next wave of intelligent transformation. If you're ready to bring bold ideas to life and influence how data & AI transforms industries - we'd love to hear from you. Requirements GlobalLogic is seeking a Go-to-Market (GTM) Solutions Architect for AI/ML solutions to drive the growth of our pipeline in our Intelligent Enterprise practice in the UK & Ireland. This is a high-impact role at the intersection of technology, consulting, and innovation - shaping and scaling our Data & AI offerings across four transformative domains: Data Platforms Data & ML Operations Generative & Agentic AI You'll partner with Sales, Marketing, and Delivery teams to co-create solutions, design winning proposals, and accelerate business growth. Ideal for senior data consultants, data architects, or pre-sales experts, this is a chance to lead at the forefront of data & AI innovation during a period of exciting expansion for GlobalLogic. What You'll Bring We're looking for a candidate who blends deep technical expertise with strong commercial instincts and a passion for AI-driven transformation. You should have: 5+ years of consulting and/or delivery experience in data & AI, ideally within professional services or a high-growth tech environment. A successful track record of developing and closing £M+ data & AI deals with business stakeholders. Strong expertise in AI/ML market offerings and related solutions (Gen AI, Agentic AI, ML Ops, Model Ops) as well as one or more other core technology areas - such as modern data platforms, data product engineering, data marketplace architecture, data developer portals, platform engineering. Experience co-selling partner solutions with hyperscalers or platforms (e.g. AWS, Azure, GCP, Snowflake, Databricks). Outstanding communication skills - able to translate complex ideas for both technical and business audiences. Demonstrated thought leadership in AI/ML such as speaking at industry events, contributing to whitepapers, mentoring, and publishing technical insights. A global mindset, with experience working across geographies including India, Eastern Europe, and North America. Job responsibilities Design, refine, and package cutting-edge data & AI offerings for GlobalLogic's customers - primarily focused on AI & ML engineering & operations Lead technical pre-sales activities including workshops, PoCs, proposals, RFIs/RFPs, SoWs, and cost modelling. Provide strategic and technical guidance to internal teams and clients. Collaborate with adjacent GTM teams to build holistic, market-leading propositions. Stay current with evolving AI/ML technologies. Cultivate strong relationships with technology partners to co-develop joint solutions. What we offer Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you'll experience an inclusive culture of acceptance and belonging, where you'll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. Learning and development. We are committed to your continuous learning and development. You'll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally. Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you'll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what's possible and bring new solutions to market. In the process, you'll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today. Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way! High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you're placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do. About GlobalLogic GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world's largest and most forward-thinking companies. Since 2000, we've been at the forefront of the digital revolution - helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services. Apply Now First Name Last Name Email Phone Gender The gender information on this form helps us understand the makeup of our applicant pool in this key area, and to continuously improve our efforts to make our workforce more inclusive. Country of Residence City How did you hear about this job? Upload Resume / Share LinkedIn Profile Drag and drop your file here or click here to upload Only .docx, .rtf, .pdf formats allowed to a max size of 5 MB. Alternately you can include your Linkedin profile I want to be considered for future open positions within the GlobalLogic group. Your data will be kept in GlobalLogic's database for 3 years. You can withdraw your consent at any time by contacting . You can find more information about how GlobalLogic processes your personal data and what your rights are in the Recruitment Privacy Notice .
Head of Data Science Salary: £115K - £125K + bonus Location: Manchester 2-4 days a month The Opportunity We're working with a high-growth business that is scaling its data function to the next level. Data scientists here have traditionally combined reporting with predictive modelling, but the business is now creating a dedicated leadership role to bring focus, structure and engineering rigour to the discipline. As Head of Data Science, you'll lead a growing team of 6+ scientists embedded across product and functional teams, while also setting the technical direction and ensuring alignment with company-wide OKRs. You'll drive the transition towards machine learning engineering, championing end-to-end model ownership from research through to deployment in production. This is a fantastic opportunity to shape the data science strategy, support the career growth of talented scientists, and deliver measurable impact in areas such as search, pricing, personalisation, vouchers, marketing, operations and finance. Skills and Experience Proven leadership experience in data science or machine learning, ideally within product-led or consumer-facing organisations Strong background in building and deploying ML models at scale in production environments Ability to structure and lead embedded data science teams, partnering effectively with senior stakeholders across multiple domains Hands on technical expertise with tools such as Databricks, Python, Spark, and GCP/BigQuery Engineering mindset, with experience moving teams toward machine learning engineering best practices Credibility to lead long tenured individual contributors, mentorship and career development If you are looking for a new challenge, then please submit your CV for initial screening and more details.
Feb 02, 2026
Full time
Head of Data Science Salary: £115K - £125K + bonus Location: Manchester 2-4 days a month The Opportunity We're working with a high-growth business that is scaling its data function to the next level. Data scientists here have traditionally combined reporting with predictive modelling, but the business is now creating a dedicated leadership role to bring focus, structure and engineering rigour to the discipline. As Head of Data Science, you'll lead a growing team of 6+ scientists embedded across product and functional teams, while also setting the technical direction and ensuring alignment with company-wide OKRs. You'll drive the transition towards machine learning engineering, championing end-to-end model ownership from research through to deployment in production. This is a fantastic opportunity to shape the data science strategy, support the career growth of talented scientists, and deliver measurable impact in areas such as search, pricing, personalisation, vouchers, marketing, operations and finance. Skills and Experience Proven leadership experience in data science or machine learning, ideally within product-led or consumer-facing organisations Strong background in building and deploying ML models at scale in production environments Ability to structure and lead embedded data science teams, partnering effectively with senior stakeholders across multiple domains Hands on technical expertise with tools such as Databricks, Python, Spark, and GCP/BigQuery Engineering mindset, with experience moving teams toward machine learning engineering best practices Credibility to lead long tenured individual contributors, mentorship and career development If you are looking for a new challenge, then please submit your CV for initial screening and more details.
Overview The engineering team at Chainalysis is inspired by solving the hardest technical challenges and creating products that build trust in cryptocurrencies. We're a global organization with teams in Denmark, UK, Canada, Israel, and the USA who thrive on the challenging work we do and doing it with other exceptionally talented teammates. Our industry changes every day and our job is to create user facing products supported by a flexible and scalable data platform allowing us to adapt to those rapid changes and bring value to our customers. As a Software Engineer within the Investigations group, you'll join a remote team of other engineers and share the responsibility of providing the right tools for the right data in order to build best in class customer experiences for our customers. Thus, you'll find the opportunity to lead, build and maintain customer facing web frontend features as well as the services and data pipelines backing them. Part of this responsibility is also to learn and understand the domain as well as the underlying data platform in order to successfully partner with product managers and designers to deliver impactful solutions to our customers. Responsibilities Become part of an established team adept at collaboration and task allocation. A team which can focus on generating direct impact. Make key contributions to high availability solutions in close collaboration with your team through your ability and willingness to take ownership and assist where needed. Your contributions will be thorough and result in sustaining a low maintenance overhead. Gain customer understanding as well as valuable insights into our data platform through your curiosity around cryptocurrencies/decentralized-finance Demonstrate your passion for learning by seeking out knowledge and collaborating with people close to our products and solutions. Display your bias to ship and iterate alongside product management and design partners. Qualifications Expertise in writing and maintaining Java/Spring-based backend services. Experience in the full lifecycle of service management, from initial development to continuous operation. A deep understanding of the critical aspects of service scalability and high availability as well as monitoring and maintaining deployed features and services ensuring optimal performance and reliability. Database management systems experience including replication, high availability, performance tuning, and complex query optimization. A background in frontend development. Strong knowledge of container orchestration using Kubernetes. You might also have An understanding of event streaming platforms. Hands on with infrastructure as code. A track record in mentoring other engineers, leading cross-team projects without authority, and driving design and technology decisions. Technologies we use (nice to have experience) Monitoring and alerting: Datadog, Falcon LogScale (formerly Humio) • Database management systems: PostgreSQL, ClickHouse Deployment tools: Flux, Helm, Kustomize Frontend frameworks: React, Angular Infrastructure as code: Terraform, Terragrunt Cloud provider: AWS Event streaming platform: Kafka Big data processing: Databricks About Chainalysis Blockchain technology is powering a growing wave of innovation. Businesses and governments around the world are using blockchains to make banking more efficient, connect with their customers, and investigate criminal cases. As adoption of blockchain technology grows, more and more organizations seek access to all this ecosystem has to offer. That's where Chainalysis comes in. We provide complete knowledge of what's happening on blockchains through our data, services, and solutions. With Chainalysis, organizations can navigate blockchains safely and with confidence. You belong here. At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We're ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture. We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here. We can't wait to meet you.
Feb 02, 2026
Full time
Overview The engineering team at Chainalysis is inspired by solving the hardest technical challenges and creating products that build trust in cryptocurrencies. We're a global organization with teams in Denmark, UK, Canada, Israel, and the USA who thrive on the challenging work we do and doing it with other exceptionally talented teammates. Our industry changes every day and our job is to create user facing products supported by a flexible and scalable data platform allowing us to adapt to those rapid changes and bring value to our customers. As a Software Engineer within the Investigations group, you'll join a remote team of other engineers and share the responsibility of providing the right tools for the right data in order to build best in class customer experiences for our customers. Thus, you'll find the opportunity to lead, build and maintain customer facing web frontend features as well as the services and data pipelines backing them. Part of this responsibility is also to learn and understand the domain as well as the underlying data platform in order to successfully partner with product managers and designers to deliver impactful solutions to our customers. Responsibilities Become part of an established team adept at collaboration and task allocation. A team which can focus on generating direct impact. Make key contributions to high availability solutions in close collaboration with your team through your ability and willingness to take ownership and assist where needed. Your contributions will be thorough and result in sustaining a low maintenance overhead. Gain customer understanding as well as valuable insights into our data platform through your curiosity around cryptocurrencies/decentralized-finance Demonstrate your passion for learning by seeking out knowledge and collaborating with people close to our products and solutions. Display your bias to ship and iterate alongside product management and design partners. Qualifications Expertise in writing and maintaining Java/Spring-based backend services. Experience in the full lifecycle of service management, from initial development to continuous operation. A deep understanding of the critical aspects of service scalability and high availability as well as monitoring and maintaining deployed features and services ensuring optimal performance and reliability. Database management systems experience including replication, high availability, performance tuning, and complex query optimization. A background in frontend development. Strong knowledge of container orchestration using Kubernetes. You might also have An understanding of event streaming platforms. Hands on with infrastructure as code. A track record in mentoring other engineers, leading cross-team projects without authority, and driving design and technology decisions. Technologies we use (nice to have experience) Monitoring and alerting: Datadog, Falcon LogScale (formerly Humio) • Database management systems: PostgreSQL, ClickHouse Deployment tools: Flux, Helm, Kustomize Frontend frameworks: React, Angular Infrastructure as code: Terraform, Terragrunt Cloud provider: AWS Event streaming platform: Kafka Big data processing: Databricks About Chainalysis Blockchain technology is powering a growing wave of innovation. Businesses and governments around the world are using blockchains to make banking more efficient, connect with their customers, and investigate criminal cases. As adoption of blockchain technology grows, more and more organizations seek access to all this ecosystem has to offer. That's where Chainalysis comes in. We provide complete knowledge of what's happening on blockchains through our data, services, and solutions. With Chainalysis, organizations can navigate blockchains safely and with confidence. You belong here. At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We're ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture. We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here. We can't wait to meet you.
Head of Data Science Salary: £110K - £120K + bonus Location: Manchester 2-4 days a month The Opportunity We're working with a high-growth business that is scaling its data function to the next level. Data scientists here have traditionally combined reporting with predictive modelling, but the business is now creating a dedicated leadership role to bring focus, structure and engineering rigour to the discipline. As Head of Data Science, you'll lead a growing team of 6+ scientists embedded across product and functional teams, while also setting the technical direction and ensuring alignment with company-wide OKRs. You'll drive the transition towards machine learning engineering, championing end-to-end model ownership from research through to deployment in production. This is a fantastic opportunity to shape the data science strategy, support the career growth of talented scientists, and deliver measurable impact in areas such as search, pricing, personalisation, vouchers, marketing, operations and finance. Skills and Experience Proven leadership experience in data science or machine learning, ideally within product-led or consumer-facing organisations Strong background in building and deploying ML models at scale in production environments Ability to structure and lead embedded data science teams, partnering effectively with senior stakeholders across multiple domains Hands-on technical expertise with tools such as Databricks, Python, Spark, and GCP/BigQuery Engineering mindset, with experience moving teams toward machine learning engineering best practice Credibility to lead long-tenured individual contributors while providing direction, mentorship and career development If you are looking for a new challenge, then please submit your CV for initial screening and more details. Head of Data Science
Feb 02, 2026
Full time
Head of Data Science Salary: £110K - £120K + bonus Location: Manchester 2-4 days a month The Opportunity We're working with a high-growth business that is scaling its data function to the next level. Data scientists here have traditionally combined reporting with predictive modelling, but the business is now creating a dedicated leadership role to bring focus, structure and engineering rigour to the discipline. As Head of Data Science, you'll lead a growing team of 6+ scientists embedded across product and functional teams, while also setting the technical direction and ensuring alignment with company-wide OKRs. You'll drive the transition towards machine learning engineering, championing end-to-end model ownership from research through to deployment in production. This is a fantastic opportunity to shape the data science strategy, support the career growth of talented scientists, and deliver measurable impact in areas such as search, pricing, personalisation, vouchers, marketing, operations and finance. Skills and Experience Proven leadership experience in data science or machine learning, ideally within product-led or consumer-facing organisations Strong background in building and deploying ML models at scale in production environments Ability to structure and lead embedded data science teams, partnering effectively with senior stakeholders across multiple domains Hands-on technical expertise with tools such as Databricks, Python, Spark, and GCP/BigQuery Engineering mindset, with experience moving teams toward machine learning engineering best practice Credibility to lead long-tenured individual contributors while providing direction, mentorship and career development If you are looking for a new challenge, then please submit your CV for initial screening and more details. Head of Data Science
Senior Azure API Engineer Outside IR35 (Apply online only)/day Remote/Hybrid UK The Role Lead the design and delivery of enterprise-grade API solutions on Azure. You'll architect scalable, secure API platforms that unlock business value from data and drive monetization opportunities. Working within our Enterprise Data Platform team, you'll build the critical integration layer connecting internal teams and external customers to consistent, reliable data services. What You'll Do Design and operationalise a lean, zero-trust API platform on Azure API Management Architect microservices and event-driven integration flows at scale Define API specifications using OpenAPI and implement modern integration patterns Drive CI/CD automation, monitoring, and operational excellence Mentor developers and champion best practices across the engineering team Partner with product, dev, and ops teams to deliver solutions that delight users What You Bring Essential: 10+ years software development, including 3+ years hands-on Azure Deep expertise in Azure API Management Strong OpenAPI, RESTful API design, and security protocols (OAuth 2.0, JWT, TLS) Proficiency in Node.js/Java/C# and modern integration patterns Experience with CI/CD, monitoring tools, and DevOps practices Security and quality-first mindset Bonus Points: Azure Databricks, Data Platforms experience Enterprise system integration (Salesforce, SAP, Workday, ERP) Containerization (Docker, Kubernetes) Streaming technologies (Kafka, JMS) Why This Role? Challenging, high-impact work with a forward-thinking UK company. Shape the technical strategy, build cutting-edge solutions, and see your architecture drive real business outcomes. Ready to architect the future? Apply now.
Jan 31, 2026
Contractor
Senior Azure API Engineer Outside IR35 (Apply online only)/day Remote/Hybrid UK The Role Lead the design and delivery of enterprise-grade API solutions on Azure. You'll architect scalable, secure API platforms that unlock business value from data and drive monetization opportunities. Working within our Enterprise Data Platform team, you'll build the critical integration layer connecting internal teams and external customers to consistent, reliable data services. What You'll Do Design and operationalise a lean, zero-trust API platform on Azure API Management Architect microservices and event-driven integration flows at scale Define API specifications using OpenAPI and implement modern integration patterns Drive CI/CD automation, monitoring, and operational excellence Mentor developers and champion best practices across the engineering team Partner with product, dev, and ops teams to deliver solutions that delight users What You Bring Essential: 10+ years software development, including 3+ years hands-on Azure Deep expertise in Azure API Management Strong OpenAPI, RESTful API design, and security protocols (OAuth 2.0, JWT, TLS) Proficiency in Node.js/Java/C# and modern integration patterns Experience with CI/CD, monitoring tools, and DevOps practices Security and quality-first mindset Bonus Points: Azure Databricks, Data Platforms experience Enterprise system integration (Salesforce, SAP, Workday, ERP) Containerization (Docker, Kubernetes) Streaming technologies (Kafka, JMS) Why This Role? Challenging, high-impact work with a forward-thinking UK company. Shape the technical strategy, build cutting-edge solutions, and see your architecture drive real business outcomes. Ready to architect the future? Apply now.
Senior Data Engineer (AWS, Airflow, Python) Based at client locations, working remotely, or based in our Godalming or Milton Keynes offices. Salary up to £65k plus company benefits. About Us Triad Group Plc is an award-winning digital, data, and solutions consultancy with over 35 years' experience primarily serving the UK public sector and central government. We deliver high-quality solutions that make a real difference to users, citizens and consumers. At Triad, collaboration thrives, knowledge is shared, and every voice matters. Our close-knit, supportive culture ensures you're valued from day one. Whether working with cutting-edge technology or shaping strategy for national-scale projects, you'll be trusted, challenged, and empowered to grow. We nurture learning through communities of practice and encourage creativity, autonomy, and innovation. If you're passionate about solving meaningful problems with smart and passionate people, Triad could be the place for you. Glassdoor score of 4.7 96% of our staff would recommend Triad to a friend 100% CEO approval See for yourself some of the work that makes us all so proud: Helping law enforcement with secure intelligence systems that keep the UK safe Supporting the UK's national meteorological service in leveraging supercomputers for next-level weather forecasting Assisting a UK government department responsible for consumer product safety with systems to track unsafe products Powering systems that help the government monitor and reduce greenhouse gas emissions from commercial transport Role Summary Triad is seeking a Senior Data Engineer to play a key role in delivering high-quality data solutions across a range of client assignments, primarily within the UK public sector. You will design, build, and optimise cloud-based data platforms, working closely with multidisciplinary teams to understand data requirements and deliver scalable, reliable, and secure data pipelines. This role offers the opportunity to shape data architecture, influence technical decisions, and contribute to meaningful, data-driven outcomes. Key Responsibilities Design, develop, and maintain scalable data pipelines to extract, transform, and load (ETL) data into cloud-based data platforms, primarily AWS. Create and manage data models that support efficient storage, retrieval, and analysis of data. Utilise AWS services such as S3, EC2, Glue, Aurora, Redshift, DynamoDB and Lambda to architect and maintain cloud data solutions. Maintain modular Terraform based IaC for reliable provisioning of AWS infrastructure. Develop, optimise and maintain robust data pipelines using Apache Airflow. Implement data transformation processes using Python to clean, preprocess, and enrich data for analytical use. Collaborate with data analysts, data scientists, developers, and other stakeholders to understand and integrate data requirements. Monitor, optimise, and tune data pipelines to ensure performance, reliability, and scalability. Identify data quality issues and implement data validation and cleansing processes. Maintain clear and comprehensive documentation covering data pipelines, models, and best practices. Work within a continuous integration environment with automated builds, deployments, and testing. Skills and Experience Strong experience designing and building data pipelines on cloud platforms, particularly AWS. Excellent proficiency in developing ETL processes and data transformation workflows. Strong SQL skills (postgresql) and advanced Python coding capability (essential). Experience working with AWS services such as S3, EC2, Glue, Aurora, Redshift, DynamoDB and Lambda (essential). Understanding of Terraform codebases to create and manage AWS infrastructure. Experience developing, optimising, and maintaining data pipelines using Apache Airflow. Familiarity with distributed data processing systems such as Spark or Databricks. Experience working with high-performing, low-latency, or large-volume data systems. Ability to collaborate effectively within cross-functional, agile, delivery-focused teams. Experience defining data models, metadata, and data dictionaries to ensure consistency and accuracy. Qualifications & Certifications A degree or equivalent qualification in Computer Science, Data Science, or a related discipline (desirable). Due to the nature of this position, you must be willing and eligible to achieve a minimum of SC clearance . To be eligible, you must have been a resident in the UK for a minimum of 5 years and have the right to work in the UK. Triad's Commitment to You As a growing and ambitious company, Triad prioritises your development and well-being: Continuous Training & Development: Access to top-rated Udemy Business courses. Work Environment: Collaborative, creative, and free from discriminatio Benefits: 25 days of annual leave, plus bank holidays. Matched pension contributions (5%). Private healthcare with Bupa. Gym membership support or Lakeshore Fitness access. Perkbox membership. Cycle-to-work scheme. What Our Colleagues Have to Say Please see for yourself on Glassdoor and our "Day in the Life" videos at the bottom of our Careers Page. Our Selection Process After applying for the role, our in-house talent team will contact you to discuss Triad and the position. If shortlisted, you will be invited for: A technical test including numerical, logical and verbal reasoning A technical interview with our consultants A management interview to assess cultural fit We aim to complete interviews and progress candidates to offer stage within 2-3 weeks of the initial conversation. Other Information If this role is of interest to you or you would like further information, please contact Ryan Jordan and submit your application now. Triad is an equal opportunities employer and welcomes applications from all suitably qualified people regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion, or belief. We are proud that our recruitment process is inclusive and accessible to disabled people who meet the minimum criteria for any role. Triad is a signatory to the Tech Talent Charter and a Disability Confident Leader.
Jan 31, 2026
Full time
Senior Data Engineer (AWS, Airflow, Python) Based at client locations, working remotely, or based in our Godalming or Milton Keynes offices. Salary up to £65k plus company benefits. About Us Triad Group Plc is an award-winning digital, data, and solutions consultancy with over 35 years' experience primarily serving the UK public sector and central government. We deliver high-quality solutions that make a real difference to users, citizens and consumers. At Triad, collaboration thrives, knowledge is shared, and every voice matters. Our close-knit, supportive culture ensures you're valued from day one. Whether working with cutting-edge technology or shaping strategy for national-scale projects, you'll be trusted, challenged, and empowered to grow. We nurture learning through communities of practice and encourage creativity, autonomy, and innovation. If you're passionate about solving meaningful problems with smart and passionate people, Triad could be the place for you. Glassdoor score of 4.7 96% of our staff would recommend Triad to a friend 100% CEO approval See for yourself some of the work that makes us all so proud: Helping law enforcement with secure intelligence systems that keep the UK safe Supporting the UK's national meteorological service in leveraging supercomputers for next-level weather forecasting Assisting a UK government department responsible for consumer product safety with systems to track unsafe products Powering systems that help the government monitor and reduce greenhouse gas emissions from commercial transport Role Summary Triad is seeking a Senior Data Engineer to play a key role in delivering high-quality data solutions across a range of client assignments, primarily within the UK public sector. You will design, build, and optimise cloud-based data platforms, working closely with multidisciplinary teams to understand data requirements and deliver scalable, reliable, and secure data pipelines. This role offers the opportunity to shape data architecture, influence technical decisions, and contribute to meaningful, data-driven outcomes. Key Responsibilities Design, develop, and maintain scalable data pipelines to extract, transform, and load (ETL) data into cloud-based data platforms, primarily AWS. Create and manage data models that support efficient storage, retrieval, and analysis of data. Utilise AWS services such as S3, EC2, Glue, Aurora, Redshift, DynamoDB and Lambda to architect and maintain cloud data solutions. Maintain modular Terraform based IaC for reliable provisioning of AWS infrastructure. Develop, optimise and maintain robust data pipelines using Apache Airflow. Implement data transformation processes using Python to clean, preprocess, and enrich data for analytical use. Collaborate with data analysts, data scientists, developers, and other stakeholders to understand and integrate data requirements. Monitor, optimise, and tune data pipelines to ensure performance, reliability, and scalability. Identify data quality issues and implement data validation and cleansing processes. Maintain clear and comprehensive documentation covering data pipelines, models, and best practices. Work within a continuous integration environment with automated builds, deployments, and testing. Skills and Experience Strong experience designing and building data pipelines on cloud platforms, particularly AWS. Excellent proficiency in developing ETL processes and data transformation workflows. Strong SQL skills (postgresql) and advanced Python coding capability (essential). Experience working with AWS services such as S3, EC2, Glue, Aurora, Redshift, DynamoDB and Lambda (essential). Understanding of Terraform codebases to create and manage AWS infrastructure. Experience developing, optimising, and maintaining data pipelines using Apache Airflow. Familiarity with distributed data processing systems such as Spark or Databricks. Experience working with high-performing, low-latency, or large-volume data systems. Ability to collaborate effectively within cross-functional, agile, delivery-focused teams. Experience defining data models, metadata, and data dictionaries to ensure consistency and accuracy. Qualifications & Certifications A degree or equivalent qualification in Computer Science, Data Science, or a related discipline (desirable). Due to the nature of this position, you must be willing and eligible to achieve a minimum of SC clearance . To be eligible, you must have been a resident in the UK for a minimum of 5 years and have the right to work in the UK. Triad's Commitment to You As a growing and ambitious company, Triad prioritises your development and well-being: Continuous Training & Development: Access to top-rated Udemy Business courses. Work Environment: Collaborative, creative, and free from discriminatio Benefits: 25 days of annual leave, plus bank holidays. Matched pension contributions (5%). Private healthcare with Bupa. Gym membership support or Lakeshore Fitness access. Perkbox membership. Cycle-to-work scheme. What Our Colleagues Have to Say Please see for yourself on Glassdoor and our "Day in the Life" videos at the bottom of our Careers Page. Our Selection Process After applying for the role, our in-house talent team will contact you to discuss Triad and the position. If shortlisted, you will be invited for: A technical test including numerical, logical and verbal reasoning A technical interview with our consultants A management interview to assess cultural fit We aim to complete interviews and progress candidates to offer stage within 2-3 weeks of the initial conversation. Other Information If this role is of interest to you or you would like further information, please contact Ryan Jordan and submit your application now. Triad is an equal opportunities employer and welcomes applications from all suitably qualified people regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion, or belief. We are proud that our recruitment process is inclusive and accessible to disabled people who meet the minimum criteria for any role. Triad is a signatory to the Tech Talent Charter and a Disability Confident Leader.
AI Platform Engineer London Excellent Salary +Benefits Join an award-winning, internationally recognised B2B consultancy as an AI Platform Engineer, owning the cloud-native platform that underpins conversational AI and generative AI products at scale. Sitting at the core of AI delivery, you will design, build, and operate the runtime, infrastructure, and operational layers supporting RAG pipelines, LLM orchestration, vector search, and evaluation workflows across AWS and Databricks. Working closely with senior AI engineers and product teams, you'll ensure AI systems are scalable, observable, secure, and cost-efficient, turning experimental AI into reliable, production-grade capabilities. With further scope of responsibilities detailed below: Own and evolve the AI platform powering conversational assistants and generative AI products. Build, operate, and optimise RAG and LLM-backed services, improving latency, reliability, and cost. Design and run cloud-native AI services across AWS and Databricks, including ingestion and embedding pipelines. Scale and operate vector search infrastructure (Weaviate, OpenSearch, Algolia, AWS Bedrock Knowledge Bases). Implement strong observability, CI/CD, security, and governance across AI workloads. Enable future architectures such as multi-model orchestration and agentic workflows. Required Skills & Experience Strong experience designing and operating cloud-native platforms on AWS (Lambda, API Gateway, DynamoDB, S3, CloudWatch). Hands-on experience with Databricks and large-scale data or embedding pipelines. Proven experience building and operating production AI systems , including RAG pipelines, LLM-backed services, and vector search (Weaviate, OpenSearch, Algolia). Proficiency in Python , with experience deploying containerised services on Kubernetes using Terraform . Solid understanding of distributed systems, cloud architecture, and API design , with a focus on scalability and reliability. Demonstrable ownership of observability, performance, cost efficiency, and operational robustness in production environments. Why Join? You'll own the foundational AI platform behind a growing suite of generative AI products, working with senior AI leaders on systems used by real customers at scale. This role offers deep technical ownership, long-term impact, and an excellent compensation package within a market-leading organisation. INDAMS Portfolio Payroll Ltd is acting as an Employment Agency in relation to this vacancy.
Jan 31, 2026
Full time
AI Platform Engineer London Excellent Salary +Benefits Join an award-winning, internationally recognised B2B consultancy as an AI Platform Engineer, owning the cloud-native platform that underpins conversational AI and generative AI products at scale. Sitting at the core of AI delivery, you will design, build, and operate the runtime, infrastructure, and operational layers supporting RAG pipelines, LLM orchestration, vector search, and evaluation workflows across AWS and Databricks. Working closely with senior AI engineers and product teams, you'll ensure AI systems are scalable, observable, secure, and cost-efficient, turning experimental AI into reliable, production-grade capabilities. With further scope of responsibilities detailed below: Own and evolve the AI platform powering conversational assistants and generative AI products. Build, operate, and optimise RAG and LLM-backed services, improving latency, reliability, and cost. Design and run cloud-native AI services across AWS and Databricks, including ingestion and embedding pipelines. Scale and operate vector search infrastructure (Weaviate, OpenSearch, Algolia, AWS Bedrock Knowledge Bases). Implement strong observability, CI/CD, security, and governance across AI workloads. Enable future architectures such as multi-model orchestration and agentic workflows. Required Skills & Experience Strong experience designing and operating cloud-native platforms on AWS (Lambda, API Gateway, DynamoDB, S3, CloudWatch). Hands-on experience with Databricks and large-scale data or embedding pipelines. Proven experience building and operating production AI systems , including RAG pipelines, LLM-backed services, and vector search (Weaviate, OpenSearch, Algolia). Proficiency in Python , with experience deploying containerised services on Kubernetes using Terraform . Solid understanding of distributed systems, cloud architecture, and API design , with a focus on scalability and reliability. Demonstrable ownership of observability, performance, cost efficiency, and operational robustness in production environments. Why Join? You'll own the foundational AI platform behind a growing suite of generative AI products, working with senior AI leaders on systems used by real customers at scale. This role offers deep technical ownership, long-term impact, and an excellent compensation package within a market-leading organisation. INDAMS Portfolio Payroll Ltd is acting as an Employment Agency in relation to this vacancy.
Senior Data Engineer (Python & SQL) Location London with hybrid working Monday to Wednesday in the office Salary 70,000 to 85,000 depending on experience Reference J13026 An AI first SaaS business that transforms high quality first party data into trusted, decision ready insight at scale is looking for a Senior Data Engineer to join its growing data and engineering team. This role sits at the core of data engineering. You will work with data that is often imperfect and transform it into well structured, reliable datasets that other teams can depend on. The focus is on engineering high quality data foundations rather than analytics or cloud infrastructure alone. You will design and build clear, maintainable data pipelines using Python and SQL within a modern data and AI platform, with a strong focus on data quality, robustness, and long term reliability. You will also play an important mentoring role within the team, supporting and guiding other data engineers and helping to raise engineering standards through thoughtful, hands on leadership. Why join A supportive and inclusive environment where different perspectives are welcomed and people are encouraged to contribute and be heard Clear progression with space to deepen your technical expertise and grow your confidence at a sustainable pace A team that values collaboration, good communication, and shared ownership over hero culture The opportunity to work on meaningful data engineering problems where quality genuinely matters What you will be doing Designing and building cloud based data and machine learning pipelines that prepare data for analytics, AI, and product use Writing clear, well-structured Python, PySpark, and SQL to transform and validate data from multiple upstream sources Taking ownership of data quality, consistency, and reliability across the pipeline lifecycle Shaping scalable data models that support a wide range of downstream use cases Working closely with Product, Engineering, and Data Science teams to understand data needs and constraints Mentoring and supporting other data engineers, sharing knowledge and encouraging good engineering practices Contributing to the long term health of the data platform through thoughtful design and continuous improvement What we are looking for Strong experience using Python and SQL to transform large, real world datasets in production environments A deep understanding of data structures, data quality challenges, and how to design reliable transformation logic Experience working with modern data platforms such as Azure, GCP, AWS, Databricks, Snowflake, or similar Confidence working with imperfect data and making it fit for consumption downstream Experience supporting or mentoring other engineers through code reviews, pairing, or informal guidance Clear, thoughtful communication and a collaborative mindset You do not need to meet every requirement listed. What matters most is strong, hands on experience using Python and SQL to work confidently with complex, real world data, apply sound engineering judgement, and help others grow through your experience. Right to work in the UK is required. Sponsorship is not available now or in the future. Apply to find out more about the role. If you have a friend or colleague who may be interested, referrals are welcome. For each successful placement, you will be eligible for our general gift or voucher scheme. Datatech is one of the UK's leading recruitment agencies specialising in analytics and is the host of the critically acclaimed Women in Data event. For more information, visit (url removed)
Jan 31, 2026
Full time
Senior Data Engineer (Python & SQL) Location London with hybrid working Monday to Wednesday in the office Salary 70,000 to 85,000 depending on experience Reference J13026 An AI first SaaS business that transforms high quality first party data into trusted, decision ready insight at scale is looking for a Senior Data Engineer to join its growing data and engineering team. This role sits at the core of data engineering. You will work with data that is often imperfect and transform it into well structured, reliable datasets that other teams can depend on. The focus is on engineering high quality data foundations rather than analytics or cloud infrastructure alone. You will design and build clear, maintainable data pipelines using Python and SQL within a modern data and AI platform, with a strong focus on data quality, robustness, and long term reliability. You will also play an important mentoring role within the team, supporting and guiding other data engineers and helping to raise engineering standards through thoughtful, hands on leadership. Why join A supportive and inclusive environment where different perspectives are welcomed and people are encouraged to contribute and be heard Clear progression with space to deepen your technical expertise and grow your confidence at a sustainable pace A team that values collaboration, good communication, and shared ownership over hero culture The opportunity to work on meaningful data engineering problems where quality genuinely matters What you will be doing Designing and building cloud based data and machine learning pipelines that prepare data for analytics, AI, and product use Writing clear, well-structured Python, PySpark, and SQL to transform and validate data from multiple upstream sources Taking ownership of data quality, consistency, and reliability across the pipeline lifecycle Shaping scalable data models that support a wide range of downstream use cases Working closely with Product, Engineering, and Data Science teams to understand data needs and constraints Mentoring and supporting other data engineers, sharing knowledge and encouraging good engineering practices Contributing to the long term health of the data platform through thoughtful design and continuous improvement What we are looking for Strong experience using Python and SQL to transform large, real world datasets in production environments A deep understanding of data structures, data quality challenges, and how to design reliable transformation logic Experience working with modern data platforms such as Azure, GCP, AWS, Databricks, Snowflake, or similar Confidence working with imperfect data and making it fit for consumption downstream Experience supporting or mentoring other engineers through code reviews, pairing, or informal guidance Clear, thoughtful communication and a collaborative mindset You do not need to meet every requirement listed. What matters most is strong, hands on experience using Python and SQL to work confidently with complex, real world data, apply sound engineering judgement, and help others grow through your experience. Right to work in the UK is required. Sponsorship is not available now or in the future. Apply to find out more about the role. If you have a friend or colleague who may be interested, referrals are welcome. For each successful placement, you will be eligible for our general gift or voucher scheme. Datatech is one of the UK's leading recruitment agencies specialising in analytics and is the host of the critically acclaimed Women in Data event. For more information, visit (url removed)
Head of Data Science Salary: 115K - 125K + bonus Location: Manchester 2-4 days a month The Opportunity We're working with a high-growth business that is scaling its data function to the next level. Data scientists here have traditionally combined reporting with predictive modelling, but the business is now creating a dedicated leadership role to bring focus, structure and engineering rigour to the discipline. As Head of Data Science, you'll lead a growing team of 6+ scientists embedded across product and functional teams, while also setting the technical direction and ensuring alignment with company-wide OKRs. You'll drive the transition towards machine learning engineering, championing end-to-end model ownership from research through to deployment in production. This is a fantastic opportunity to shape the data science strategy, support the career growth of talented scientists, and deliver measurable impact in areas such as search, pricing, personalisation, vouchers, marketing, operations and finance. Skills and Experience Proven leadership experience in data science or machine learning, ideally within product-led or consumer-facing organisations Strong background in building and deploying ML models at scale in production environments Ability to structure and lead embedded data science teams, partnering effectively with senior stakeholders across multiple domains Hands-on technical expertise with tools such as Databricks, Python, Spark, and GCP/BigQuery Engineering mindset, with experience moving teams toward machine learning engineering best practices Credibility to lead long-tenured individual contributors while providing direction, mentorship and career development If you are looking for a new challenge, then please submit your CV for initial screening and more details. Head of Data Science
Jan 29, 2026
Full time
Head of Data Science Salary: 115K - 125K + bonus Location: Manchester 2-4 days a month The Opportunity We're working with a high-growth business that is scaling its data function to the next level. Data scientists here have traditionally combined reporting with predictive modelling, but the business is now creating a dedicated leadership role to bring focus, structure and engineering rigour to the discipline. As Head of Data Science, you'll lead a growing team of 6+ scientists embedded across product and functional teams, while also setting the technical direction and ensuring alignment with company-wide OKRs. You'll drive the transition towards machine learning engineering, championing end-to-end model ownership from research through to deployment in production. This is a fantastic opportunity to shape the data science strategy, support the career growth of talented scientists, and deliver measurable impact in areas such as search, pricing, personalisation, vouchers, marketing, operations and finance. Skills and Experience Proven leadership experience in data science or machine learning, ideally within product-led or consumer-facing organisations Strong background in building and deploying ML models at scale in production environments Ability to structure and lead embedded data science teams, partnering effectively with senior stakeholders across multiple domains Hands-on technical expertise with tools such as Databricks, Python, Spark, and GCP/BigQuery Engineering mindset, with experience moving teams toward machine learning engineering best practices Credibility to lead long-tenured individual contributors while providing direction, mentorship and career development If you are looking for a new challenge, then please submit your CV for initial screening and more details. Head of Data Science
Base Location: Reading / Havant / Perth Salary: 600 per day Working Pattern: 40 hours per week / Full time Embark on a transformative career journey with SSE energy company, where innovation meets impact in the heart of the IT sector. As a pivotal player in our forward-thinking team, you'll harness cutting-edge technology to drive change and propel the UK towards its ambitious net-zero targets. Your expertise will not only shape the future of energy but also carve a sustainable world for generations to come. Join us and be at the forefront of the green revolution, where every line of code contributes to a cleaner, brighter future. Key Responsibilities: Provide technical leadership and oversight to the group Data & Analytics platform team. Responsible for ensuring the reliability, security and scalability of analytics platform services. Deliver full automation of the deployment of Data & Analytics platform services via Infrastructure as code. Help to set development standards, configure operational support processes and provide technical assurance. Provide support to Data & Analytics platform users and internal development teams interacting with the Data & Analytics platform services. What do you need? Extensive experience of deploying Azure and ideally AWS cloud resources and be fully conversant with agile and DevOps development methodology. Extensive experience in using Terraform to deploy cloud resources as infrastructure as code. Excellent understanding of CI/CD principles and experience with related tools (e.g. Azure DevOps, GitHub Actions). Strong knowledge of scripting languages such as PowerShell, Python and Azure CLI and proven experience with automation runbooks, VM maintenance scripts and SQL. Strong understanding of cloud access control and governance such as RBAC and IAM. Strong knowledge on Cloud Networking (Azure) such as private endpoints, Firewalls, NSGs, NAT gateways and route tables. Good knowledge in Microsoft Entra ID such as managing App registrations, Enterprise Apps, AD groups, managed identities and Privileged Identity Management. Proven experience in IaaS such as virtual machines - both Windows and Linux. Familiarity with server patching and maintenance. Strong understanding of security best practices within Azure and ideally AWS. Experience of configuring cloud data services (preferably Databricks) in Azure and ideally AWS. Excellent communication and collaboration skills, with the ability to work across multiple technical and non-technical teams. What happens now? After submitting your application for the Data and Analytics Senior Development Operations Engineer role, we understand you're eager to hear back. We value your time and interest, and if your application is successful, you will be contacted directly by the team within 2 working days. We appreciate your patience and look forward to the possibility of welcoming you aboard.
Oct 08, 2025
Contractor
Base Location: Reading / Havant / Perth Salary: 600 per day Working Pattern: 40 hours per week / Full time Embark on a transformative career journey with SSE energy company, where innovation meets impact in the heart of the IT sector. As a pivotal player in our forward-thinking team, you'll harness cutting-edge technology to drive change and propel the UK towards its ambitious net-zero targets. Your expertise will not only shape the future of energy but also carve a sustainable world for generations to come. Join us and be at the forefront of the green revolution, where every line of code contributes to a cleaner, brighter future. Key Responsibilities: Provide technical leadership and oversight to the group Data & Analytics platform team. Responsible for ensuring the reliability, security and scalability of analytics platform services. Deliver full automation of the deployment of Data & Analytics platform services via Infrastructure as code. Help to set development standards, configure operational support processes and provide technical assurance. Provide support to Data & Analytics platform users and internal development teams interacting with the Data & Analytics platform services. What do you need? Extensive experience of deploying Azure and ideally AWS cloud resources and be fully conversant with agile and DevOps development methodology. Extensive experience in using Terraform to deploy cloud resources as infrastructure as code. Excellent understanding of CI/CD principles and experience with related tools (e.g. Azure DevOps, GitHub Actions). Strong knowledge of scripting languages such as PowerShell, Python and Azure CLI and proven experience with automation runbooks, VM maintenance scripts and SQL. Strong understanding of cloud access control and governance such as RBAC and IAM. Strong knowledge on Cloud Networking (Azure) such as private endpoints, Firewalls, NSGs, NAT gateways and route tables. Good knowledge in Microsoft Entra ID such as managing App registrations, Enterprise Apps, AD groups, managed identities and Privileged Identity Management. Proven experience in IaaS such as virtual machines - both Windows and Linux. Familiarity with server patching and maintenance. Strong understanding of security best practices within Azure and ideally AWS. Experience of configuring cloud data services (preferably Databricks) in Azure and ideally AWS. Excellent communication and collaboration skills, with the ability to work across multiple technical and non-technical teams. What happens now? After submitting your application for the Data and Analytics Senior Development Operations Engineer role, we understand you're eager to hear back. We value your time and interest, and if your application is successful, you will be contacted directly by the team within 2 working days. We appreciate your patience and look forward to the possibility of welcoming you aboard.
Senior Data Engineer, Insurance London/Hybrid To £85K + Bonus and Benefits SQL, ETL, Azure Senior Data Engineer is required to join a forward-thinking data team within a thriving City based insurance group. This role will see you playing a critical role in delivering reliable, scalable and business-focused data solutions. With a strong focus on Microsoft technologies and cloud-based tools, you'll work directly with key business stakeholders, MI teams and technical teams to drive performance and decision-making through data. The ideal candidate here will have a strong background in insurance MI or reporting-experience within an MGA or insurance carrier is essential. Key Responsibilities Deliver data solutions and changes that support evolving business requirements. Build and maintain robust, scalable data pipelines using SQL and ETL best practices. Collaborate with stakeholders to analyse, define and implement solutions to complex data challenges. Proactively assess the impact of changes on the broader data model and ensure integrity is maintained. Work alongside the MI/reporting team to ensure data is accurately reflected in dashboards and reporting tools. Consult with business analysts, system owners and architects to align technical delivery with strategic objectives. Build deep knowledge of internal systems and promote collaboration across teams. Key Skills & Experience: Significant experience with SQL and ETL development. Strong experience with MS SQL Server, T-SQL, Azure Data Factory, Azure Databricks, Python, Data Lake. Strong background in insurance MI or reporting-experience within an MGA or insurance carrier is essential. A sharp analytical mind with the ability to work quickly, efficiently and methodically. Strong communication skills with excellent stakeholder management and influencing skills. Solid understanding of Insurance Operations, Credit Control, and Finance functions. A team player who thrives in an agile, fast-moving, and highly collaborative environment. For a full consultation on this pivotal role, send your CV to ARC IT Recruitment today.
Oct 08, 2025
Full time
Senior Data Engineer, Insurance London/Hybrid To £85K + Bonus and Benefits SQL, ETL, Azure Senior Data Engineer is required to join a forward-thinking data team within a thriving City based insurance group. This role will see you playing a critical role in delivering reliable, scalable and business-focused data solutions. With a strong focus on Microsoft technologies and cloud-based tools, you'll work directly with key business stakeholders, MI teams and technical teams to drive performance and decision-making through data. The ideal candidate here will have a strong background in insurance MI or reporting-experience within an MGA or insurance carrier is essential. Key Responsibilities Deliver data solutions and changes that support evolving business requirements. Build and maintain robust, scalable data pipelines using SQL and ETL best practices. Collaborate with stakeholders to analyse, define and implement solutions to complex data challenges. Proactively assess the impact of changes on the broader data model and ensure integrity is maintained. Work alongside the MI/reporting team to ensure data is accurately reflected in dashboards and reporting tools. Consult with business analysts, system owners and architects to align technical delivery with strategic objectives. Build deep knowledge of internal systems and promote collaboration across teams. Key Skills & Experience: Significant experience with SQL and ETL development. Strong experience with MS SQL Server, T-SQL, Azure Data Factory, Azure Databricks, Python, Data Lake. Strong background in insurance MI or reporting-experience within an MGA or insurance carrier is essential. A sharp analytical mind with the ability to work quickly, efficiently and methodically. Strong communication skills with excellent stakeholder management and influencing skills. Solid understanding of Insurance Operations, Credit Control, and Finance functions. A team player who thrives in an agile, fast-moving, and highly collaborative environment. For a full consultation on this pivotal role, send your CV to ARC IT Recruitment today.
Senior AWS Data Engineer - London - 125,000 Please note - this role will require you to work from the London based office. You must have the unrestricted right to work in the UK to be eligible for this role. This organisation is not able to offer sponsorship. An exciting opportunity to join a greenfield initiative focused on transforming how market data is accessed and utilised. As a Senior AWS Data Engineer, you'll play a key role in designing and building a cutting-edge data platform using technologies like Databricks, Snowflake, and AWS Glue. Key Responsibilities: Build and maintain scalable data pipelines, warehouses, and lakes. Design secure, high-performance data architectures. Develop processing and analysis algorithms for complex data sets. Collaborate with data scientists to deploy machine learning models. Contribute to strategy, planning, and continuous improvement. Required Experience: Hands-on experience with AWS data tools: Glue, PySpark, Athena, Iceberg, Lake Formation. Strong Python and SQL skills for data processing and analysis. Deep understanding of data governance, quality, and security. Knowledge of market data and its business applications. Desirable Experience: Experience with Databricks and Snowflake. Familiarity with machine learning and data science concepts. Strategic thinking and ability to influence cross-functional teams. This role offers the chance to work across multiple business areas, solve complex data challenges, and contribute to long-term strategic goals. You'll be empowered to lead, collaborate, and innovate in a dynamic environment. To apply for this role please submit your CV or contact David Airey on (phone number removed) or at (url removed). Tenth Revolution Group are the go-to recruiter for Data & AI roles in the UK offering more opportunities across the country than any other recruitment agency. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, and the London Fabric User Group. We are the global leaders in Data & AI recruitment.
Oct 06, 2025
Full time
Senior AWS Data Engineer - London - 125,000 Please note - this role will require you to work from the London based office. You must have the unrestricted right to work in the UK to be eligible for this role. This organisation is not able to offer sponsorship. An exciting opportunity to join a greenfield initiative focused on transforming how market data is accessed and utilised. As a Senior AWS Data Engineer, you'll play a key role in designing and building a cutting-edge data platform using technologies like Databricks, Snowflake, and AWS Glue. Key Responsibilities: Build and maintain scalable data pipelines, warehouses, and lakes. Design secure, high-performance data architectures. Develop processing and analysis algorithms for complex data sets. Collaborate with data scientists to deploy machine learning models. Contribute to strategy, planning, and continuous improvement. Required Experience: Hands-on experience with AWS data tools: Glue, PySpark, Athena, Iceberg, Lake Formation. Strong Python and SQL skills for data processing and analysis. Deep understanding of data governance, quality, and security. Knowledge of market data and its business applications. Desirable Experience: Experience with Databricks and Snowflake. Familiarity with machine learning and data science concepts. Strategic thinking and ability to influence cross-functional teams. This role offers the chance to work across multiple business areas, solve complex data challenges, and contribute to long-term strategic goals. You'll be empowered to lead, collaborate, and innovate in a dynamic environment. To apply for this role please submit your CV or contact David Airey on (phone number removed) or at (url removed). Tenth Revolution Group are the go-to recruiter for Data & AI roles in the UK offering more opportunities across the country than any other recruitment agency. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, and the London Fabric User Group. We are the global leaders in Data & AI recruitment.
AWS Data Engineer - VP Level Location: London (Canary Wharf) Salary: (phone number removed) - (phone number removed) A leading financial institution is seeking a Senior AWS Data Engineer to join a greenfield initiative focused on transforming market data access and utilization. This VP-level role offers strategic influence, technical leadership, and cross-functional collaboration across business units. Key Responsibilities: Design and maintain scalable data pipelines, warehouses, and lakes using AWS technologies. Implement robust data governance, quality, and security practices. Collaborate with data scientists to deploy machine learning models. Lead or contribute to strategic planning, risk management, and stakeholder engagement. Drive innovation through advanced analytics and research-based problem solving. To be successful you should have: 10 years hands-on experience in AWS data engineering technologies, including Glue, PySpark, Athena, Iceberg, Databricks, Lake Formation, and other standard data engineering tools. Previous experience in implementing best practices for data engineering, including data governance, data quality, and data security. Proficiency in data processing and analysis using Python and SQL. Experience with data governance, data quality, and data security best practices. Strong knowledge of market data and its applications. Some other highly valued skills may include: Experience with other data engineering tools and technologies. Knowledge of machine learning and data science concepts. Familiarity with Barclays' data strategy and practices. Please send me your CV is you meet these requirements and we can then arrange call
Oct 06, 2025
Full time
AWS Data Engineer - VP Level Location: London (Canary Wharf) Salary: (phone number removed) - (phone number removed) A leading financial institution is seeking a Senior AWS Data Engineer to join a greenfield initiative focused on transforming market data access and utilization. This VP-level role offers strategic influence, technical leadership, and cross-functional collaboration across business units. Key Responsibilities: Design and maintain scalable data pipelines, warehouses, and lakes using AWS technologies. Implement robust data governance, quality, and security practices. Collaborate with data scientists to deploy machine learning models. Lead or contribute to strategic planning, risk management, and stakeholder engagement. Drive innovation through advanced analytics and research-based problem solving. To be successful you should have: 10 years hands-on experience in AWS data engineering technologies, including Glue, PySpark, Athena, Iceberg, Databricks, Lake Formation, and other standard data engineering tools. Previous experience in implementing best practices for data engineering, including data governance, data quality, and data security. Proficiency in data processing and analysis using Python and SQL. Experience with data governance, data quality, and data security best practices. Strong knowledge of market data and its applications. Some other highly valued skills may include: Experience with other data engineering tools and technologies. Knowledge of machine learning and data science concepts. Familiarity with Barclays' data strategy and practices. Please send me your CV is you meet these requirements and we can then arrange call
Your new company A Principal Data Engineer/Architect is required on a permanent basis for a forward-thinking organisation at the heart of Leeds. The Data Services team are on a mission to unlock the value of data by delivering high-quality, secure, and accessible data services. With a focus on modern cloud-based technologies and strong partnerships, they help colleagues navigate the complexities of a data-driven world. Your new role As a Principal Data Engineer, you will be instrumental in shaping the organisations strategic cloud data platform. You'll lead the design and implementation of scalable data pipelines, drive innovation in data-centric products, and champion automation and predictive analytics. This is a senior technical leadership role where you'll establish best practices, ensure compliance, and deliver smart, customer-focused solutions. What you'll need to succeed You'll bring extensive experience in data engineering within Azure environments, with a strong track record in modernisation and large-scale migration projects. You'll be confident designing metadata-driven frameworks and managing Databricks environments, with hands-on expertise in Python, T-SQL, and PySpark. Your leadership and mentoring skills will be key, alongside your ability to collaborate across teams and drive strategic decisions. Essential Skills Include: Proven leadership and mentoring experience in senior data engineering roles Expertise in Azure Data Factory, Azure Databricks, and lakehouse architecture Strong programming skills (Python, T-SQL, PySpark) and test-driven development Deep understanding of data security, compliance, and tools like Microsoft Purview Excellent communication and stakeholder management skills Experience with containerisation and orchestration (eg, Kubernetes, Azure Container Instances) would be desirable AI/ML integration within data platforms would be advantageous What you'll get in return You'll be part of a dynamic and inclusive team, working on cutting-edge data solutions that make a real impact. The organisation offers a competitive salary up to £81K, excellent benefits including 8% cash payment on top of the salary, bonus scheme, and opportunities for professional development. You'll also enjoy flexible working arrangements, generous annual leave, public sector pension and a supportive environment that values innovation and collaboration. What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found on our website.
Oct 06, 2025
Full time
Your new company A Principal Data Engineer/Architect is required on a permanent basis for a forward-thinking organisation at the heart of Leeds. The Data Services team are on a mission to unlock the value of data by delivering high-quality, secure, and accessible data services. With a focus on modern cloud-based technologies and strong partnerships, they help colleagues navigate the complexities of a data-driven world. Your new role As a Principal Data Engineer, you will be instrumental in shaping the organisations strategic cloud data platform. You'll lead the design and implementation of scalable data pipelines, drive innovation in data-centric products, and champion automation and predictive analytics. This is a senior technical leadership role where you'll establish best practices, ensure compliance, and deliver smart, customer-focused solutions. What you'll need to succeed You'll bring extensive experience in data engineering within Azure environments, with a strong track record in modernisation and large-scale migration projects. You'll be confident designing metadata-driven frameworks and managing Databricks environments, with hands-on expertise in Python, T-SQL, and PySpark. Your leadership and mentoring skills will be key, alongside your ability to collaborate across teams and drive strategic decisions. Essential Skills Include: Proven leadership and mentoring experience in senior data engineering roles Expertise in Azure Data Factory, Azure Databricks, and lakehouse architecture Strong programming skills (Python, T-SQL, PySpark) and test-driven development Deep understanding of data security, compliance, and tools like Microsoft Purview Excellent communication and stakeholder management skills Experience with containerisation and orchestration (eg, Kubernetes, Azure Container Instances) would be desirable AI/ML integration within data platforms would be advantageous What you'll get in return You'll be part of a dynamic and inclusive team, working on cutting-edge data solutions that make a real impact. The organisation offers a competitive salary up to £81K, excellent benefits including 8% cash payment on top of the salary, bonus scheme, and opportunities for professional development. You'll also enjoy flexible working arrangements, generous annual leave, public sector pension and a supportive environment that values innovation and collaboration. What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found on our website.
Principal Data Engineer - Hybrid (London/Winchester) We're seeking a hands-on Principal Data Engineer to design and deliver enterprise-scale, cloud-native data platforms that power analytics, reporting, and Real Time decision-making. This is a strategic technical leadership role where you'll shape architecture, mentor engineers, and deliver end-to-end solutions across a modern AWS/Databricks stack. What you'll do Lead the design of scalable, secure data architectures on AWS. Build and optimise ETL/ELT pipelines for batch and streaming data. Deploy and manage Apache Spark jobs on Databricks and Delta Lake. Write production-grade Python and SQL for large-scale data transformations. Drive data quality, governance, and automation through CI/CD and IaC. Collaborate with data scientists, analysts, and business stakeholders. Mentor and guide data engineering teams. What we're looking for Proven experience in senior/principal data engineering roles. Expertise in AWS, Databricks, Apache Spark, Python, and SQL. Strong background in cloud-native data platforms, Real Time processing, and data lakes. Hands-on experience with tools such as Airflow, Kafka, Docker, GitLab CI/CD. Excellent stakeholder engagement and leadership skills. What's on offer £84000 salary + 10% bonus 6% pension contribution Private medical & flexible benefits package 25 days annual leave (plus buy/sell options) Hybrid working - travel to London or Winchester once/twice per week Join a company at the forefront of media, connectivity, and smart technology, where your work directly powers millions of daily connections across the UK.
Oct 06, 2025
Full time
Principal Data Engineer - Hybrid (London/Winchester) We're seeking a hands-on Principal Data Engineer to design and deliver enterprise-scale, cloud-native data platforms that power analytics, reporting, and Real Time decision-making. This is a strategic technical leadership role where you'll shape architecture, mentor engineers, and deliver end-to-end solutions across a modern AWS/Databricks stack. What you'll do Lead the design of scalable, secure data architectures on AWS. Build and optimise ETL/ELT pipelines for batch and streaming data. Deploy and manage Apache Spark jobs on Databricks and Delta Lake. Write production-grade Python and SQL for large-scale data transformations. Drive data quality, governance, and automation through CI/CD and IaC. Collaborate with data scientists, analysts, and business stakeholders. Mentor and guide data engineering teams. What we're looking for Proven experience in senior/principal data engineering roles. Expertise in AWS, Databricks, Apache Spark, Python, and SQL. Strong background in cloud-native data platforms, Real Time processing, and data lakes. Hands-on experience with tools such as Airflow, Kafka, Docker, GitLab CI/CD. Excellent stakeholder engagement and leadership skills. What's on offer £84000 salary + 10% bonus 6% pension contribution Private medical & flexible benefits package 25 days annual leave (plus buy/sell options) Hybrid working - travel to London or Winchester once/twice per week Join a company at the forefront of media, connectivity, and smart technology, where your work directly powers millions of daily connections across the UK.
Senior Software Engineer / Developer (Data) London / WFH to £115k Global-leading FinTech is seeking a Senior Software Engineer to take ownership of a new team responsible for data focussed strategic enhancements on their core platform. The organisation is a pioneer in the field of cross-asset securities and derivatives post-trade processing technology and have created ground-breaking, adaptable software that produces secure and scalable solutions for peak operational efficiency and optimum business performance for their clients. This is a great opportunity to accelerate your career alongside established business and technology leaders and deepen your finance experience. As a Senior Software Engineer, you'll work on strategic initiatives to develop integration and data migration strategies and tools to allow highly automated migration or integration between the PTP (Post Trade Processing) platform and legacy internal and external systems. You'll be working on Greenfield systems, using a range of technology, you will be granted a great deal of autonomy across the full development lifecycle, influencing key technical decisions and will have the opportunity to grow the team and move into a leadership role if desired. Location / WFH: You'll join colleagues in the London office three days a week with flexibility to work from home the other two days. About you: You're a data centric, Senior Software Engineer with a strong knowledge of modern software engineering best practices You have strong development experience with C#, C++ or Python You have advanced SQL database knowledge (they use Oracle), experience with data transformation technologies such as Databricks or Snowflake and data streaming technologies such as Kafka You have a good understanding of financial markets and the trade lifecycle You're keen to take ownership and enjoy working proactively with minimal supervision You have excellent collaboration and stakeholder management skills You're degree educated in a STEM discipline What's in it for you: As a Senior Software Engineer / Developer (Data) you will receive a competitive package: Salary to £115k Pension (to 9% contribution) Healthcare Volunteer / charity days Hybrid working Career development and training Apply now to find out more about this Senior Software Engineer / Developer (Data) opportunity. At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.
Oct 02, 2025
Full time
Senior Software Engineer / Developer (Data) London / WFH to £115k Global-leading FinTech is seeking a Senior Software Engineer to take ownership of a new team responsible for data focussed strategic enhancements on their core platform. The organisation is a pioneer in the field of cross-asset securities and derivatives post-trade processing technology and have created ground-breaking, adaptable software that produces secure and scalable solutions for peak operational efficiency and optimum business performance for their clients. This is a great opportunity to accelerate your career alongside established business and technology leaders and deepen your finance experience. As a Senior Software Engineer, you'll work on strategic initiatives to develop integration and data migration strategies and tools to allow highly automated migration or integration between the PTP (Post Trade Processing) platform and legacy internal and external systems. You'll be working on Greenfield systems, using a range of technology, you will be granted a great deal of autonomy across the full development lifecycle, influencing key technical decisions and will have the opportunity to grow the team and move into a leadership role if desired. Location / WFH: You'll join colleagues in the London office three days a week with flexibility to work from home the other two days. About you: You're a data centric, Senior Software Engineer with a strong knowledge of modern software engineering best practices You have strong development experience with C#, C++ or Python You have advanced SQL database knowledge (they use Oracle), experience with data transformation technologies such as Databricks or Snowflake and data streaming technologies such as Kafka You have a good understanding of financial markets and the trade lifecycle You're keen to take ownership and enjoy working proactively with minimal supervision You have excellent collaboration and stakeholder management skills You're degree educated in a STEM discipline What's in it for you: As a Senior Software Engineer / Developer (Data) you will receive a competitive package: Salary to £115k Pension (to 9% contribution) Healthcare Volunteer / charity days Hybrid working Career development and training Apply now to find out more about this Senior Software Engineer / Developer (Data) opportunity. At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.
Data Software Engineer / Developer (Python Databricks FastAPI) London to £90k Are you a data centric Software Engineer with strong Python and SQL skills? You could be progressing your career in a senior, hands-on role at a fast growing, global Insurance Underwriting technology provider that focusses on developing a complex SaaS calculation platform for rapidly growing Cybersecurity insurance markets. As a Data Software Engineer you will design and develop data centric backend services for the core platform with a focus on Python coding and building FastAPIs within an Azure environment with Databricks. You'll participate in the design and implementation of advanced mechanisms for data ingestion, transformation, mass parallel orchestration of network IO and will model data for a variety of purposes. You'll also collaborate with the Infrastructure team to maintain Infrastructure as Code and develop new features on the engineering platform. Location / WFH: There's a hybrid work from home model with three days a week in the high spec London, City office with rooftop bar. About you: You have strong Python software engineering skills You have a good understanding of working with data at scale and strong SQL skills (PostgreSQL, SQL Server and Databricks) You have experience of building FastAPIs You have a thorough knowledge of Computer Science fundamentals including Data Structures, Design Patterns, OOP You're collaborative and pragmatic with great communication skills What's in it for you: As a Data Software Engineer you will receive a competitive package: Salary to £90k + bonus 25 days holiday Private Medical Insurance (including dental and optical cashback) Life Insurance, Income Protection Pension Subsidised gym membership X4 paid volunteering days per year Season ticket loan Employee Assistance Programme Impactful role with great career progression Apply now to find out more about this Data Software Engineer / Developer (Python Databricks FastAPI) opportunity. At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.
Oct 02, 2025
Full time
Data Software Engineer / Developer (Python Databricks FastAPI) London to £90k Are you a data centric Software Engineer with strong Python and SQL skills? You could be progressing your career in a senior, hands-on role at a fast growing, global Insurance Underwriting technology provider that focusses on developing a complex SaaS calculation platform for rapidly growing Cybersecurity insurance markets. As a Data Software Engineer you will design and develop data centric backend services for the core platform with a focus on Python coding and building FastAPIs within an Azure environment with Databricks. You'll participate in the design and implementation of advanced mechanisms for data ingestion, transformation, mass parallel orchestration of network IO and will model data for a variety of purposes. You'll also collaborate with the Infrastructure team to maintain Infrastructure as Code and develop new features on the engineering platform. Location / WFH: There's a hybrid work from home model with three days a week in the high spec London, City office with rooftop bar. About you: You have strong Python software engineering skills You have a good understanding of working with data at scale and strong SQL skills (PostgreSQL, SQL Server and Databricks) You have experience of building FastAPIs You have a thorough knowledge of Computer Science fundamentals including Data Structures, Design Patterns, OOP You're collaborative and pragmatic with great communication skills What's in it for you: As a Data Software Engineer you will receive a competitive package: Salary to £90k + bonus 25 days holiday Private Medical Insurance (including dental and optical cashback) Life Insurance, Income Protection Pension Subsidised gym membership X4 paid volunteering days per year Season ticket loan Employee Assistance Programme Impactful role with great career progression Apply now to find out more about this Data Software Engineer / Developer (Python Databricks FastAPI) opportunity. At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.
Principal Cybersecurity Machine Learning Engineer The position is a senior technical role, requiring knowledge of data engineering, data science, advanced analytics techniques, research and development, and innovation within one or more of the Cybersecurity sciences (e.g. network, endpoint and cloud security, cryptography, malware analysis, vulnerability assessment, privileged access management, anomaly/intrusion detection, incident response, or offensive security). The Principal Cybersecurity Analytics Engineer role is a key leadership, hands on technical role, contributing to, coordinating, and leading delivery of advanced analytics solutions to cybersecurity problems through rapid development of prototypes, engineering of production solutions, and exploration of longer term, potentially ground-breaking technologies. Cybersecurity-specific knowledge is required for the role, but exceptional candidates from other disciplines will also be considered. The ideal candidate will possess strong technical skills, an eagerness to learn, a keen interest in Cybersecurity, the ability to work collaboratively in a fast-paced environment, and an aptitude for picking up new tools and techniques on the job, building on existing skillsets as a foundation. You will have access to tailored professional development opportunities and a competitive pay and benefits package. This includes private healthcare for all UK-based employees, enhanced maternity and adoption pay and support when you return to work, and a contributory pension scheme with a generous employer contribution. In this role you will: Data Engineering Ingestion and provisioning of datasets, delta tables, and/or curated, re-usable data assets to enable Cybersecurity use cases. Support and enhancement of data ingestion infrastructure and pipelines. Platform Operations and Production Support Provide maintenance and run support for landing zones/cloud workspaces operated on behalf of Cybersecurity teams. Cybersecurity Sciences Research & Development (R&D) and Innovation Drive innovative research & development to test and evolve new technologies and advanced analytic techniques. Explore and develo innovative capabilities, exploiting emerging technologies and data science to help stay ahead of advancing cyber threats. Rapid Response Respond to urgent requests to address vulnerabilities or emerging threats. Advanced Analytics & Security Software Development Support Cybersecurity teams in using data and advanced analytic technologies effectively to enhance operations and inform decisions. Deliver critical analytics engineering requirements across Cybersecurity. Develop new data products, analysis platforms, and custom AI solutions to enable Cybersecurity teams to monitor controls more effectively, automatically detect and triage malicious activity, optimise manual tasks, better protect HSBC, and meet the needs of customers. Develop new models, detections, and automations to protect against advanced and emerging threats and help Cybersecurity operate efficiently and effectively at scale. Develop custom security applications, APIs, and data-driven services in support of the Cybersecurity mission. To be successful in this role you should meet the following requirements: Strong Data Technology skills, with the ability to build, operate, maintain and support loud infrastructure & data services at scale Extensive experience of Big Data Technologies (Databricks, Spark etc) Cloud Infrastructure & Platform Engineering experience (Azure preferred) The ability to conduct cybersecurity industry research and rapidly develop data-driven prototypes for live business problems faced by Cybersecurity teams Experience developing custom security applications, APIs, AI/ML models, detections, automations, and advanced analytic technologies to mitigate against current and emerging threats The ability to act as a Cybersecurity data domain expert and advise stakeholders how to use data and analytics to drive business change and improvement Proficiency in applying data science and advanced analytics techniques to the Cybersecurity domain and its associated datasets Full Stack Engineering and custom security software development experience with proficiency in programming languages such as Python, Java, C#, or similar preferred. This role can be based in Sheffield or Birmingham or London
Oct 01, 2025
Full time
Principal Cybersecurity Machine Learning Engineer The position is a senior technical role, requiring knowledge of data engineering, data science, advanced analytics techniques, research and development, and innovation within one or more of the Cybersecurity sciences (e.g. network, endpoint and cloud security, cryptography, malware analysis, vulnerability assessment, privileged access management, anomaly/intrusion detection, incident response, or offensive security). The Principal Cybersecurity Analytics Engineer role is a key leadership, hands on technical role, contributing to, coordinating, and leading delivery of advanced analytics solutions to cybersecurity problems through rapid development of prototypes, engineering of production solutions, and exploration of longer term, potentially ground-breaking technologies. Cybersecurity-specific knowledge is required for the role, but exceptional candidates from other disciplines will also be considered. The ideal candidate will possess strong technical skills, an eagerness to learn, a keen interest in Cybersecurity, the ability to work collaboratively in a fast-paced environment, and an aptitude for picking up new tools and techniques on the job, building on existing skillsets as a foundation. You will have access to tailored professional development opportunities and a competitive pay and benefits package. This includes private healthcare for all UK-based employees, enhanced maternity and adoption pay and support when you return to work, and a contributory pension scheme with a generous employer contribution. In this role you will: Data Engineering Ingestion and provisioning of datasets, delta tables, and/or curated, re-usable data assets to enable Cybersecurity use cases. Support and enhancement of data ingestion infrastructure and pipelines. Platform Operations and Production Support Provide maintenance and run support for landing zones/cloud workspaces operated on behalf of Cybersecurity teams. Cybersecurity Sciences Research & Development (R&D) and Innovation Drive innovative research & development to test and evolve new technologies and advanced analytic techniques. Explore and develo innovative capabilities, exploiting emerging technologies and data science to help stay ahead of advancing cyber threats. Rapid Response Respond to urgent requests to address vulnerabilities or emerging threats. Advanced Analytics & Security Software Development Support Cybersecurity teams in using data and advanced analytic technologies effectively to enhance operations and inform decisions. Deliver critical analytics engineering requirements across Cybersecurity. Develop new data products, analysis platforms, and custom AI solutions to enable Cybersecurity teams to monitor controls more effectively, automatically detect and triage malicious activity, optimise manual tasks, better protect HSBC, and meet the needs of customers. Develop new models, detections, and automations to protect against advanced and emerging threats and help Cybersecurity operate efficiently and effectively at scale. Develop custom security applications, APIs, and data-driven services in support of the Cybersecurity mission. To be successful in this role you should meet the following requirements: Strong Data Technology skills, with the ability to build, operate, maintain and support loud infrastructure & data services at scale Extensive experience of Big Data Technologies (Databricks, Spark etc) Cloud Infrastructure & Platform Engineering experience (Azure preferred) The ability to conduct cybersecurity industry research and rapidly develop data-driven prototypes for live business problems faced by Cybersecurity teams Experience developing custom security applications, APIs, AI/ML models, detections, automations, and advanced analytic technologies to mitigate against current and emerging threats The ability to act as a Cybersecurity data domain expert and advise stakeholders how to use data and analytics to drive business change and improvement Proficiency in applying data science and advanced analytics techniques to the Cybersecurity domain and its associated datasets Full Stack Engineering and custom security software development experience with proficiency in programming languages such as Python, Java, C#, or similar preferred. This role can be based in Sheffield or Birmingham or London
