AI Engineer - FS consulting London A leading consulting and technology firm is seeking AI Engineers and Technical AI Leaders to join their team in London on a hybrid basis. The business delivers production-grade AI solutions across banking, risk, fraud and enterprise platforms, and is growing its engineering capability across multiple seniority levels, from Engineer through to Senior Manager. Key Responsibilities In this role you will design and build AI-enabled platforms and intelligent workflows, working with large language models (LLMs), retrieval-augmented generation (RAG) pipelines and embedding models. You will develop scalable backend services and AI integrations, collaborating closely with engineering, architecture and business teams throughout. You will also support AI deployment, governance and operational rollout to ensure solutions are production-ready and compliant. What We're Looking For The ideal candidate will bring strong foundations in software or data engineering, combined with hands-on experience delivering AI or AI-enabled solutions in a professional environment. You should have exposure to cloud platforms and modern data infrastructure, and experience working within Financial Services or another regulated industry is essential. Technical skills relevant to this role include Python and SQL, LLM development techniques such as prompt engineering, fine-tuning and RAG, frameworks including LangChain and LangGraph, agent frameworks, vector databases, FastAPI, and cloud platforms such as AWS, Azure, GCP or Databricks. Familiarity with CI/CD, MLOps and LLMOps practices is also expected. Strong communication skills and the ability to engage effectively with stakeholders across technical and business functions are important at all levels.
Jul 11, 2026
Full time
AI Engineer - FS consulting London A leading consulting and technology firm is seeking AI Engineers and Technical AI Leaders to join their team in London on a hybrid basis. The business delivers production-grade AI solutions across banking, risk, fraud and enterprise platforms, and is growing its engineering capability across multiple seniority levels, from Engineer through to Senior Manager. Key Responsibilities In this role you will design and build AI-enabled platforms and intelligent workflows, working with large language models (LLMs), retrieval-augmented generation (RAG) pipelines and embedding models. You will develop scalable backend services and AI integrations, collaborating closely with engineering, architecture and business teams throughout. You will also support AI deployment, governance and operational rollout to ensure solutions are production-ready and compliant. What We're Looking For The ideal candidate will bring strong foundations in software or data engineering, combined with hands-on experience delivering AI or AI-enabled solutions in a professional environment. You should have exposure to cloud platforms and modern data infrastructure, and experience working within Financial Services or another regulated industry is essential. Technical skills relevant to this role include Python and SQL, LLM development techniques such as prompt engineering, fine-tuning and RAG, frameworks including LangChain and LangGraph, agent frameworks, vector databases, FastAPI, and cloud platforms such as AWS, Azure, GCP or Databricks. Familiarity with CI/CD, MLOps and LLMOps practices is also expected. Strong communication skills and the ability to engage effectively with stakeholders across technical and business functions are important at all levels.
We're hiring AI Engineers and Technical AI Leaders in Manchester A leading consulting and technology firm is growing its AI capability across financial services and they're looking for engineers who build things that actually make it to production. You'll be working on intelligent platforms, LLM-powered workflows, and RAG pipelines across banking, risk, fraud, and enterprise environments. Think Python, LangChain, vector databases, FastAPI, and cloud platforms like AWS, Azure, and Databricks. What matters most: Solid software or data engineering foundations Hands-on experience delivering AI solutions end to end Exposure to regulated or financial services environments The ability to communicate clearly with both technical and business stakeholders Roles are open across multiple levels from Engineer through to Senior Manager so whether you're looking to grow or to lead, there could be a fit here. Based in Manchester with a hybrid setup. Interested, or just curious about the market? Apply below or send a direct message for a confidential conversation.
Jul 11, 2026
Full time
We're hiring AI Engineers and Technical AI Leaders in Manchester A leading consulting and technology firm is growing its AI capability across financial services and they're looking for engineers who build things that actually make it to production. You'll be working on intelligent platforms, LLM-powered workflows, and RAG pipelines across banking, risk, fraud, and enterprise environments. Think Python, LangChain, vector databases, FastAPI, and cloud platforms like AWS, Azure, and Databricks. What matters most: Solid software or data engineering foundations Hands-on experience delivering AI solutions end to end Exposure to regulated or financial services environments The ability to communicate clearly with both technical and business stakeholders Roles are open across multiple levels from Engineer through to Senior Manager so whether you're looking to grow or to lead, there could be a fit here. Based in Manchester with a hybrid setup. Interested, or just curious about the market? Apply below or send a direct message for a confidential conversation.
Join an award-winning B2B consultancy at the forefront of enterprise AI, building and owning the cloud-native platform infrastructure that powers production-grade conversational and generative AI products at scale. The role This is a platform and infrastructure engineering role - not a data science or ML engineering position. You'll own the runtime, infrastructure, and operational layers that RAG pipelines, LLM orchestration, vector search, and evaluation workflows run on, across AWS and Databricks. The focus is on building scalable, observable, secure, and cost-efficient platform infrastructure that enables AI engineering teams to ship and operate AI products reliably in production. What you'll do Design, build, and operate cloud-native AI platform infrastructure across AWS (Lambda, API Gateway, DynamoDB, S3, CloudWatch) and Databricks Deploy and operate containerised services on Kubernetes using Terraform for infrastructure-as-code Own and scale vector search infrastructure (OpenSearch, Algolia, AWS Bedrock Knowledge Bases) and embedding pipelines Build and maintain CI/CD pipelines for inference services, retrievers, ingestion workflows, and RAG components Implement observability across AI workloads using CloudWatch, MLflow, and OpenTelemetry - covering latency, throughput, cost, and system health Apply secure-by-design principles including IAM, encryption, network controls, and audit logging Work closely with AI engineers to translate prototypes and proof-of-concepts into production-ready, well-architected platform components What we're looking for Proven experience in platform, infrastructure, or software engineering roles delivering production-grade systems on AWS Strong hands-on Kubernetes experience, specifically with EKS (Elastic Kubernetes Service) and ECS (Elastic Container Service) in production environments Strong Terraform experience for infrastructure-as-code, provisioning and managing cloud infrastructure at scale Experience operating containerised services, managing CI/CD pipelines, and owning observability and reliability Familiarity with vector databases or search infrastructure (OpenSearch, Algolia) is a strong advantage Python proficiency for scripting, automation, and deploying production services Solid grasp of distributed systems, cloud-native architecture, microservices, and API design Ownership mindset - comfortable operating autonomously across reliability, performance, cost, and security Why join? You'll own the foundational platform infrastructure behind a growing suite of generative AI products, working directly with senior AI and engineering leaders. This is a deep technical ownership role with long-term architectural impact, within an organisation investing heavily in AI at scale. INDAM The Portfolio Group are acting on behalf of our client in recruiting for this position.
Jul 10, 2026
Full time
Join an award-winning B2B consultancy at the forefront of enterprise AI, building and owning the cloud-native platform infrastructure that powers production-grade conversational and generative AI products at scale. The role This is a platform and infrastructure engineering role - not a data science or ML engineering position. You'll own the runtime, infrastructure, and operational layers that RAG pipelines, LLM orchestration, vector search, and evaluation workflows run on, across AWS and Databricks. The focus is on building scalable, observable, secure, and cost-efficient platform infrastructure that enables AI engineering teams to ship and operate AI products reliably in production. What you'll do Design, build, and operate cloud-native AI platform infrastructure across AWS (Lambda, API Gateway, DynamoDB, S3, CloudWatch) and Databricks Deploy and operate containerised services on Kubernetes using Terraform for infrastructure-as-code Own and scale vector search infrastructure (OpenSearch, Algolia, AWS Bedrock Knowledge Bases) and embedding pipelines Build and maintain CI/CD pipelines for inference services, retrievers, ingestion workflows, and RAG components Implement observability across AI workloads using CloudWatch, MLflow, and OpenTelemetry - covering latency, throughput, cost, and system health Apply secure-by-design principles including IAM, encryption, network controls, and audit logging Work closely with AI engineers to translate prototypes and proof-of-concepts into production-ready, well-architected platform components What we're looking for Proven experience in platform, infrastructure, or software engineering roles delivering production-grade systems on AWS Strong hands-on Kubernetes experience, specifically with EKS (Elastic Kubernetes Service) and ECS (Elastic Container Service) in production environments Strong Terraform experience for infrastructure-as-code, provisioning and managing cloud infrastructure at scale Experience operating containerised services, managing CI/CD pipelines, and owning observability and reliability Familiarity with vector databases or search infrastructure (OpenSearch, Algolia) is a strong advantage Python proficiency for scripting, automation, and deploying production services Solid grasp of distributed systems, cloud-native architecture, microservices, and API design Ownership mindset - comfortable operating autonomously across reliability, performance, cost, and security Why join? You'll own the foundational platform infrastructure behind a growing suite of generative AI products, working directly with senior AI and engineering leaders. This is a deep technical ownership role with long-term architectural impact, within an organisation investing heavily in AI at scale. INDAM The Portfolio Group are acting on behalf of our client in recruiting for this position.
Project Data Architect Salary: Up to £72,000, based on skills and experience Contract Type: Permanent- 35 hours a week Location: Hybrid working (office based in Birmingham) - typically 2 days in the office per week Closing Date: 03/08/26 Shape Brighter Futures with Wesleyan Established in 1841, Wesleyan help trusted professionals-GPs, hospital doctors, dentists, and teachers-secure their financial future. Today, we're proud to continue that mission with passion and purpose. If you're looking for a role where your expertise makes a real impact, and you want to work in a culture that values collaboration, innovation, and integrity, we'd love to hear from you. Find out more about who we are: About Wesleyan Make a Difference in Data Architecture and Engineering This role sits in a fast paced, dynamic data architecture team who are adding huge value to programs of work across the organisation. Joining an immediate team of 4, you will take the lead as one of the project data architects ensuring that the 'centre of excellence,' objectives run through every project across all business units. Your Impact Here's how you'll make a difference: Build strong partnerships across Data Engineering, Architecture, Governance and Data Quality teams to ensure trusted, well-governed data that supports confident decision-making across the business. Design and implement effective data architecture, modelling and master data solutions that create a single, reliable foundation for reporting, analytics and customer insight. Enable seamless data flow across systems through modern integration approaches, helping the organisation unlock greater value from its data and improve operational efficiency. Drive the development of scalable, cloud-based data platforms that support business growth, future innovation and the delivery of strategic transformation programmes. Provide data architecture leadership across complex change initiatives, influencing stakeholders, resolving challenges and delivering high-quality solutions that enhance customer outcomes and long-term business value. What You'll Bring You'll have experience working collaboratively with Data Engineering, Architecture and Technology teams to deliver practical, business-focused data solutions that create real value for stakeholders and customers. A strong background in data architecture, data modelling, data mapping and master data management, with the ability to design scalable solutions that support reporting, analytics and future business growth. Extensive experience building and enhancing enterprise data platforms, such as data lakes, data hubs and operational data stores, ideally within cloud environments, with Azure experience being particularly beneficial. A good understanding of modern data integration approaches, including APIs, GraphQL, JSON and XML, alongside hands-on experience with tools such as SQL, Python and Databricks. Exposure to Power BI would be an added advantage. An approachable and proactive mindset, with the confidence to lead data architecture initiatives, engage stakeholders across the business, solve complex challenges and drive improvements in data quality, efficiency and overall business outcomes within Agile environments. Benefits That Work for You We believe rewards should reflect the life you live. Here's what you can expect: Annual bonus to recognise your contribution. 28 days holiday (plus a culture day!) - rising to 30 days with service. Flexible hybrid working for better work-life balance. Company pension scheme - matched plus 2% (up to 10%). Free secure underground Birmingham city centre parking (subject to availability, weekend use included). Salary sacrifice schemes that help you provide the things that matter - to include PMI, Electric Vehicle Leasing and cashback on everyday essentials. Enhanced family leave and two volunteering days to give back to causes you care about. Discover the full range of benefits: Wesleyan Careers Rewards Why Wesleyan? We're building a culture where everyone belongs. Diversity isn't just a policy-it's part of who we are. Whatever your background, we want you to feel valued and empowered to thrive. We're proud supporters of the ABI Making Flexible Work campaign, which means we're open to discussing flexible working, job shares, and part-time options. If you need reasonable adjustments during the recruitment process, just let us know-we're here to support you. What to Know Before Applying Right to Work: We're unable to provide VISA sponsorship, so you'll need the legal right to live and work in the UK. Advert Closing: We typically advertise for two weeks but may close early if we receive a high volume of applications-apply early to avoid disappointment. Ready to Shape Your Future? Apply today and join us in creating brighter financial futures-for our customers, our members, and you.
Jul 10, 2026
Full time
Project Data Architect Salary: Up to £72,000, based on skills and experience Contract Type: Permanent- 35 hours a week Location: Hybrid working (office based in Birmingham) - typically 2 days in the office per week Closing Date: 03/08/26 Shape Brighter Futures with Wesleyan Established in 1841, Wesleyan help trusted professionals-GPs, hospital doctors, dentists, and teachers-secure their financial future. Today, we're proud to continue that mission with passion and purpose. If you're looking for a role where your expertise makes a real impact, and you want to work in a culture that values collaboration, innovation, and integrity, we'd love to hear from you. Find out more about who we are: About Wesleyan Make a Difference in Data Architecture and Engineering This role sits in a fast paced, dynamic data architecture team who are adding huge value to programs of work across the organisation. Joining an immediate team of 4, you will take the lead as one of the project data architects ensuring that the 'centre of excellence,' objectives run through every project across all business units. Your Impact Here's how you'll make a difference: Build strong partnerships across Data Engineering, Architecture, Governance and Data Quality teams to ensure trusted, well-governed data that supports confident decision-making across the business. Design and implement effective data architecture, modelling and master data solutions that create a single, reliable foundation for reporting, analytics and customer insight. Enable seamless data flow across systems through modern integration approaches, helping the organisation unlock greater value from its data and improve operational efficiency. Drive the development of scalable, cloud-based data platforms that support business growth, future innovation and the delivery of strategic transformation programmes. Provide data architecture leadership across complex change initiatives, influencing stakeholders, resolving challenges and delivering high-quality solutions that enhance customer outcomes and long-term business value. What You'll Bring You'll have experience working collaboratively with Data Engineering, Architecture and Technology teams to deliver practical, business-focused data solutions that create real value for stakeholders and customers. A strong background in data architecture, data modelling, data mapping and master data management, with the ability to design scalable solutions that support reporting, analytics and future business growth. Extensive experience building and enhancing enterprise data platforms, such as data lakes, data hubs and operational data stores, ideally within cloud environments, with Azure experience being particularly beneficial. A good understanding of modern data integration approaches, including APIs, GraphQL, JSON and XML, alongside hands-on experience with tools such as SQL, Python and Databricks. Exposure to Power BI would be an added advantage. An approachable and proactive mindset, with the confidence to lead data architecture initiatives, engage stakeholders across the business, solve complex challenges and drive improvements in data quality, efficiency and overall business outcomes within Agile environments. Benefits That Work for You We believe rewards should reflect the life you live. Here's what you can expect: Annual bonus to recognise your contribution. 28 days holiday (plus a culture day!) - rising to 30 days with service. Flexible hybrid working for better work-life balance. Company pension scheme - matched plus 2% (up to 10%). Free secure underground Birmingham city centre parking (subject to availability, weekend use included). Salary sacrifice schemes that help you provide the things that matter - to include PMI, Electric Vehicle Leasing and cashback on everyday essentials. Enhanced family leave and two volunteering days to give back to causes you care about. Discover the full range of benefits: Wesleyan Careers Rewards Why Wesleyan? We're building a culture where everyone belongs. Diversity isn't just a policy-it's part of who we are. Whatever your background, we want you to feel valued and empowered to thrive. We're proud supporters of the ABI Making Flexible Work campaign, which means we're open to discussing flexible working, job shares, and part-time options. If you need reasonable adjustments during the recruitment process, just let us know-we're here to support you. What to Know Before Applying Right to Work: We're unable to provide VISA sponsorship, so you'll need the legal right to live and work in the UK. Advert Closing: We typically advertise for two weeks but may close early if we receive a high volume of applications-apply early to avoid disappointment. Ready to Shape Your Future? Apply today and join us in creating brighter financial futures-for our customers, our members, and you.
Data Scientist (Assistant Manager/Manager) London (Hybrid) £50,000 - £80,000 (DOE) + bonus + benefits The Role This is an opportunity to join a growing Simulation & Insights team working at the intersection of data science, AI and decision modelling. You'll be delivering solutions that help organisations make complex, high-value decisions, from optimising operations to shaping long-term strategy. It's a hands-on role with a strong consulting edge. You'll be building models one day and working directly with stakeholders the next, explaining what the outputs actually mean for the business. The role is offered at Assistant Manager or Manager level, depending on experience. At Manager level, you'll take on additional ownership of projects, stakeholders and team members. What You'll Do Build and deploy data science, machine learning and simulation models to solve complex business problems Apply advanced techniques including optimisation, forecasting, statistical modelling and AI Develop LLM-based solutions, including: Retrieval-Augmented Generation (RAG) Fine-tuning and prompt engineering Agent-based workflows Work with large and complex datasets, both structured and unstructured Write clean, scalable Python code for model development and production use Use tools such as Databricks, MLflow and modern AI platforms to manage the full model life cycle Translate technical outputs into clear, commercially relevant insights Engage directly with stakeholders to define problems and shape solutions Collaborate with multidisciplinary teams across data, engineering and strategy At Manager level, you will also: Lead projects or workstreams end-to-end Manage and mentor junior team members Own stakeholder relationships and present to senior audiences Contribute to business development and proposition building What You'll Bring Core Skills Strong academic background in a STEM discipline Proven experience delivering data science, machine learning or AI solutions in a commercial environment Strong programming capability in Python (Pandas, NumPy, SciPy or similar) Solid grounding in statistics, probability and data analysis AI & LLM Experience Hands-on experience with large language models, including: RAG pipelines Fine-tuning approaches Agent-based architectures A practical understanding of how to apply LLMs to real-world use cases Tools & Engineering Experience with model deployment and MLOps tools (eg Databricks, MLflow) Familiarity with version control (Git) and collaborative development practices Awareness of best practices in code quality and reproducibility Communication & Consulting Ability to explain complex technical concepts to non-technical stakeholders Experience working in client-facing or cross-functional teams Strong problem-solving skills and the ability to manage ambiguity Why You Should Apply Work on high-impact projects that directly influence business decisions Exposure to cutting-edge AI and LLM use cases Variety of work across multiple industries and problem types Clear progression from Assistant Manager to Manager and beyond Strong focus on learning, development and career progression Hybrid working model with flexibility built in Collaborative team environment with high-performing peers Ready to Apply Contact Lewis Allen to find out more. Please apply with a CV and a cover letter outlining why you're perfect for the role. Know someone great for the job? We offer a referral get in touch! Note: We do our best to respond to every application, but due to volume, we can't always guarantee it. If you haven't heard back within 7 days, unfortunately, you haven't been successful this time.
Jul 09, 2026
Full time
Data Scientist (Assistant Manager/Manager) London (Hybrid) £50,000 - £80,000 (DOE) + bonus + benefits The Role This is an opportunity to join a growing Simulation & Insights team working at the intersection of data science, AI and decision modelling. You'll be delivering solutions that help organisations make complex, high-value decisions, from optimising operations to shaping long-term strategy. It's a hands-on role with a strong consulting edge. You'll be building models one day and working directly with stakeholders the next, explaining what the outputs actually mean for the business. The role is offered at Assistant Manager or Manager level, depending on experience. At Manager level, you'll take on additional ownership of projects, stakeholders and team members. What You'll Do Build and deploy data science, machine learning and simulation models to solve complex business problems Apply advanced techniques including optimisation, forecasting, statistical modelling and AI Develop LLM-based solutions, including: Retrieval-Augmented Generation (RAG) Fine-tuning and prompt engineering Agent-based workflows Work with large and complex datasets, both structured and unstructured Write clean, scalable Python code for model development and production use Use tools such as Databricks, MLflow and modern AI platforms to manage the full model life cycle Translate technical outputs into clear, commercially relevant insights Engage directly with stakeholders to define problems and shape solutions Collaborate with multidisciplinary teams across data, engineering and strategy At Manager level, you will also: Lead projects or workstreams end-to-end Manage and mentor junior team members Own stakeholder relationships and present to senior audiences Contribute to business development and proposition building What You'll Bring Core Skills Strong academic background in a STEM discipline Proven experience delivering data science, machine learning or AI solutions in a commercial environment Strong programming capability in Python (Pandas, NumPy, SciPy or similar) Solid grounding in statistics, probability and data analysis AI & LLM Experience Hands-on experience with large language models, including: RAG pipelines Fine-tuning approaches Agent-based architectures A practical understanding of how to apply LLMs to real-world use cases Tools & Engineering Experience with model deployment and MLOps tools (eg Databricks, MLflow) Familiarity with version control (Git) and collaborative development practices Awareness of best practices in code quality and reproducibility Communication & Consulting Ability to explain complex technical concepts to non-technical stakeholders Experience working in client-facing or cross-functional teams Strong problem-solving skills and the ability to manage ambiguity Why You Should Apply Work on high-impact projects that directly influence business decisions Exposure to cutting-edge AI and LLM use cases Variety of work across multiple industries and problem types Clear progression from Assistant Manager to Manager and beyond Strong focus on learning, development and career progression Hybrid working model with flexibility built in Collaborative team environment with high-performing peers Ready to Apply Contact Lewis Allen to find out more. Please apply with a CV and a cover letter outlining why you're perfect for the role. Know someone great for the job? We offer a referral get in touch! Note: We do our best to respond to every application, but due to volume, we can't always guarantee it. If you haven't heard back within 7 days, unfortunately, you haven't been successful this time.
Data Scientist (Assistant Manager/Manager) London (Hybrid) £50,000 - £80,000 (DOE) + bonus + benefits The Role This is an opportunity to join a growing Simulation & Insights team working at the intersection of data science, AI and decision modelling. You'll be delivering solutions that help organisations make complex, high-value decisions, from optimising operations to shaping long-term strategy. It's a hands-on role with a strong consulting edge. You'll be building models one day and working directly with stakeholders the next, explaining what the outputs actually mean for the business. The role is offered at Assistant Manager or Manager level, depending on experience. At Manager level, you'll take on additional ownership of projects, stakeholders and team members. What You'll Do Build and deploy data science, machine learning and simulation models to solve complex business problems Apply advanced techniques including optimisation, forecasting, statistical modelling and AI Develop LLM-based solutions, including: Retrieval-Augmented Generation (RAG) Fine-tuning and prompt engineering Agent-based workflows Work with large and complex datasets, both structured and unstructured Write clean, scalable Python code for model development and production use Use tools such as Databricks, MLflow and modern AI platforms to manage the full model lifecycle Translate technical outputs into clear, commercially relevant insights Engage directly with stakeholders to define problems and shape solutions Collaborate with multidisciplinary teams across data, engineering and strategy At Manager level, you will also: Lead projects or workstreams end-to-end Manage and mentor junior team members Own stakeholder relationships and present to senior audiences Contribute to business development and proposition building What You'll Bring Core Skills Strong academic background in a STEM discipline Proven experience delivering data science, machine learning or AI solutions in a commercial environment Strong programming capability in Python (Pandas, NumPy, SciPy or similar) Solid grounding in statistics, probability and data analysis AI & LLM Experience Hands-on experience with large language models, including: RAG pipelines Fine-tuning approaches Agent-based architectures A practical understanding of how to apply LLMs to real-world use cases Tools & Engineering Experience with model deployment and MLOps tools (e.g. Databricks, MLflow) Familiarity with version control (Git) and collaborative development practices Awareness of best practices in code quality and reproducibility Communication & Consulting Ability to explain complex technical concepts to non-technical stakeholders Experience working in client-facing or cross-functional teams Strong problem-solving skills and the ability to manage ambiguity Why You Should Apply Work on high-impact projects that directly influence business decisions Exposure to cutting-edge AI and LLM use cases Variety of work across multiple industries and problem types Clear progression from Assistant Manager to Manager and beyond Strong focus on learning, development and career progression Hybrid working model with flexibility built in Collaborative team environment with high-performing peers Ready to Apply Contact Lewis Allen to find out more. Please apply with a CV and a cover letter outlining why you're perfect for the role. Know someone great for the job? We offer a referral get in touch! Note: We do our best to respond to every application, but due to volume, we can't always guarantee it. If you haven't heard back within 7 days, unfortunately, you haven't been successful this time. Keep an eye on our site for new opportunities!
Jul 09, 2026
Full time
Data Scientist (Assistant Manager/Manager) London (Hybrid) £50,000 - £80,000 (DOE) + bonus + benefits The Role This is an opportunity to join a growing Simulation & Insights team working at the intersection of data science, AI and decision modelling. You'll be delivering solutions that help organisations make complex, high-value decisions, from optimising operations to shaping long-term strategy. It's a hands-on role with a strong consulting edge. You'll be building models one day and working directly with stakeholders the next, explaining what the outputs actually mean for the business. The role is offered at Assistant Manager or Manager level, depending on experience. At Manager level, you'll take on additional ownership of projects, stakeholders and team members. What You'll Do Build and deploy data science, machine learning and simulation models to solve complex business problems Apply advanced techniques including optimisation, forecasting, statistical modelling and AI Develop LLM-based solutions, including: Retrieval-Augmented Generation (RAG) Fine-tuning and prompt engineering Agent-based workflows Work with large and complex datasets, both structured and unstructured Write clean, scalable Python code for model development and production use Use tools such as Databricks, MLflow and modern AI platforms to manage the full model lifecycle Translate technical outputs into clear, commercially relevant insights Engage directly with stakeholders to define problems and shape solutions Collaborate with multidisciplinary teams across data, engineering and strategy At Manager level, you will also: Lead projects or workstreams end-to-end Manage and mentor junior team members Own stakeholder relationships and present to senior audiences Contribute to business development and proposition building What You'll Bring Core Skills Strong academic background in a STEM discipline Proven experience delivering data science, machine learning or AI solutions in a commercial environment Strong programming capability in Python (Pandas, NumPy, SciPy or similar) Solid grounding in statistics, probability and data analysis AI & LLM Experience Hands-on experience with large language models, including: RAG pipelines Fine-tuning approaches Agent-based architectures A practical understanding of how to apply LLMs to real-world use cases Tools & Engineering Experience with model deployment and MLOps tools (e.g. Databricks, MLflow) Familiarity with version control (Git) and collaborative development practices Awareness of best practices in code quality and reproducibility Communication & Consulting Ability to explain complex technical concepts to non-technical stakeholders Experience working in client-facing or cross-functional teams Strong problem-solving skills and the ability to manage ambiguity Why You Should Apply Work on high-impact projects that directly influence business decisions Exposure to cutting-edge AI and LLM use cases Variety of work across multiple industries and problem types Clear progression from Assistant Manager to Manager and beyond Strong focus on learning, development and career progression Hybrid working model with flexibility built in Collaborative team environment with high-performing peers Ready to Apply Contact Lewis Allen to find out more. Please apply with a CV and a cover letter outlining why you're perfect for the role. Know someone great for the job? We offer a referral get in touch! Note: We do our best to respond to every application, but due to volume, we can't always guarantee it. If you haven't heard back within 7 days, unfortunately, you haven't been successful this time. Keep an eye on our site for new opportunities!
An exciting technology-led organisation in London is looking for a Lead Data Engineer to join their growing platform team as they continue to build out their data and analytics capability. Based in: London Hybrid working: 1-2 days a week in the office Permanent role Start date: ASAP Salary: Up to £83k per annum The Job As the Lead Data Engineer , your responsibilities will include: Leading the design and delivery of a modern cloud data platform supporting analytics, AI and client-facing data products Owning data pipeline architecture across ingestion, transformation and data product layers Setting and maintaining data engineering standards, patterns and best practices across squads Mentoring and leading a small team of Data Engineers and working closely with Analytics Engineers and Data Scientists Remaining hands-on with complex technical delivery, architecture decisions and code reviews Defining CI/CD, testing, observability and infrastructure-as-code standards for data pipelines Ensuring strong data governance, security controls and compliance across all datasets Partnering with Product and commercial teams on data initiatives and client data onboarding Supporting analytics, BI and AI/ML use cases with well-structured, documented and reliable data models You 5+ years' experience in data engineering or data platform roles Strong hands-on experience with SQL, Python and distributed data processing Proven experience building and operating modern cloud data platforms Experience with technologies such as Snowflake, Databricks and Power BI Strong understanding of CI/CD, infrastructure-as-code and data quality practices Solid knowledge of data security, access controls and governance Comfortable operating as a hands-on technical leader , mentoring others and influencing standards Strong stakeholder communication skills Apply Now You can apply for the Lead Data Engineer position now by sending us your CV or by calling us today. Don't forget to register as a candidate too. Amy Brown Principal Managing Consultant Sphere Digital Recruitment currently has a variety of job opportunities across digital, so feel free to get in touch to find out how we can help you. Please take a look at our website. Sphere is an equal opportunities employer. We encourage applications regardless of ethnic origin, race, religious beliefs, age, disability, gender or sexual orientation, and any other protected status as required by applicable law. Sphere Digital Recruitment currently have a variety of job opportunities across digital so feel free to get in touch with us to find out how we can help you. Please take a look at our website. Sphere is an equal opportunities employer. We encourage applications regardless of ethnic origin, race, religious beliefs, age, disability, gender or sexual orientation, and any other protected status as required by applicable law. If you require any adjustments or additional support during the recruitment process for any reason whatsoever, please let us know.
Jul 08, 2026
Full time
An exciting technology-led organisation in London is looking for a Lead Data Engineer to join their growing platform team as they continue to build out their data and analytics capability. Based in: London Hybrid working: 1-2 days a week in the office Permanent role Start date: ASAP Salary: Up to £83k per annum The Job As the Lead Data Engineer , your responsibilities will include: Leading the design and delivery of a modern cloud data platform supporting analytics, AI and client-facing data products Owning data pipeline architecture across ingestion, transformation and data product layers Setting and maintaining data engineering standards, patterns and best practices across squads Mentoring and leading a small team of Data Engineers and working closely with Analytics Engineers and Data Scientists Remaining hands-on with complex technical delivery, architecture decisions and code reviews Defining CI/CD, testing, observability and infrastructure-as-code standards for data pipelines Ensuring strong data governance, security controls and compliance across all datasets Partnering with Product and commercial teams on data initiatives and client data onboarding Supporting analytics, BI and AI/ML use cases with well-structured, documented and reliable data models You 5+ years' experience in data engineering or data platform roles Strong hands-on experience with SQL, Python and distributed data processing Proven experience building and operating modern cloud data platforms Experience with technologies such as Snowflake, Databricks and Power BI Strong understanding of CI/CD, infrastructure-as-code and data quality practices Solid knowledge of data security, access controls and governance Comfortable operating as a hands-on technical leader , mentoring others and influencing standards Strong stakeholder communication skills Apply Now You can apply for the Lead Data Engineer position now by sending us your CV or by calling us today. Don't forget to register as a candidate too. Amy Brown Principal Managing Consultant Sphere Digital Recruitment currently has a variety of job opportunities across digital, so feel free to get in touch to find out how we can help you. Please take a look at our website. Sphere is an equal opportunities employer. We encourage applications regardless of ethnic origin, race, religious beliefs, age, disability, gender or sexual orientation, and any other protected status as required by applicable law. Sphere Digital Recruitment currently have a variety of job opportunities across digital so feel free to get in touch with us to find out how we can help you. Please take a look at our website. Sphere is an equal opportunities employer. We encourage applications regardless of ethnic origin, race, religious beliefs, age, disability, gender or sexual orientation, and any other protected status as required by applicable law. If you require any adjustments or additional support during the recruitment process for any reason whatsoever, please let us know.
Python Technical Lead Employment Type: Permanent Location: London - Hybrid (3 days in the office) Salary: £90,000 - £105,000 + benefits and bonus About the Client Our client is a leading specialist insurance provider, recognised for its innovative approach to technology and data. Operating globally, they develop cutting-edge digital platforms that support underwriting and risk management, with technology at the heart of their continued growth. Role Overview As a Technical Lead, you'll be responsible for leading the successful delivery of complex engineering solutions, providing technical direction across the full development life cycle from design through to deployment. You'll work closely with Product Owners and key stakeholders to define technical requirements, shape solution architecture and ensure delivery aligns with business objectives. Alongside leading a team of engineers, you'll provide hands-on technical leadership through mentoring, code reviews and promoting engineering best practices. You'll also play a key role in improving development processes, managing technical debt, mitigating technical risks and championing quality through automation, testing and CI/CD, ensuring the team delivers scalable, high-quality solutions. Key Responsibilities Lead and mentor a team of engineers, supporting the successful delivery of technical projects from design through to deployment. Define technical solutions and contribute to architectural decisions across multiple applications. Work closely with Product Owners and business stakeholders to prioritise work and deliver against business objectives. Drive engineering best practices through code reviews, technical mentoring and continuous improvement initiatives. Identify and address technical debt, architectural improvements and delivery risks. Champion software quality through automation, testing, CI/CD and development best practices. Key Requirements Strong commercial experience developing software using Python - experience within Financial Services is advantageous. Previous experience leading or mentoring engineering teams within an Agile environment. Excellent SQL skills, including experience with PostgreSQL, SQL Server and Databricks. Strong understanding of software architecture, engineering best practices and CI/CD. Comfortable working directly with SQL and relational databases without relying on ORMs. Excellent communication skills with the ability to engage both technical and non-technical stakeholders. Why Join Opportunity to shape the technical direction of modern, data-driven platforms. Hands-on leadership role combining engineering with technical strategy. Collaborative engineering culture focused on innovation, quality and continuous improvement. Competitive salary, bonus and comprehensive benefits package. Hybrid working from a modern London office. Additional Notes This is a permanent opportunity based in London, operating on a hybrid working model with three days per week in the office. The role may require occasional out-of-hours support and limited travel where necessary. Data & Application Notice We process personal data submitted as part of your application for recruitment purposes in line with UK GDPR. All applications are reviewed by a member of our team, we do not use automated decision-making in our selection process. Your application will be assessed against the requirements of this role. By applying to this advert, you consent to receiving future relevant roles and industry news and insights from us. To opt out of this, please contact: (see below) For more information on how we use your data, including how long we retain it & your rights, please refer to our Privacy Policy
Jul 08, 2026
Full time
Python Technical Lead Employment Type: Permanent Location: London - Hybrid (3 days in the office) Salary: £90,000 - £105,000 + benefits and bonus About the Client Our client is a leading specialist insurance provider, recognised for its innovative approach to technology and data. Operating globally, they develop cutting-edge digital platforms that support underwriting and risk management, with technology at the heart of their continued growth. Role Overview As a Technical Lead, you'll be responsible for leading the successful delivery of complex engineering solutions, providing technical direction across the full development life cycle from design through to deployment. You'll work closely with Product Owners and key stakeholders to define technical requirements, shape solution architecture and ensure delivery aligns with business objectives. Alongside leading a team of engineers, you'll provide hands-on technical leadership through mentoring, code reviews and promoting engineering best practices. You'll also play a key role in improving development processes, managing technical debt, mitigating technical risks and championing quality through automation, testing and CI/CD, ensuring the team delivers scalable, high-quality solutions. Key Responsibilities Lead and mentor a team of engineers, supporting the successful delivery of technical projects from design through to deployment. Define technical solutions and contribute to architectural decisions across multiple applications. Work closely with Product Owners and business stakeholders to prioritise work and deliver against business objectives. Drive engineering best practices through code reviews, technical mentoring and continuous improvement initiatives. Identify and address technical debt, architectural improvements and delivery risks. Champion software quality through automation, testing, CI/CD and development best practices. Key Requirements Strong commercial experience developing software using Python - experience within Financial Services is advantageous. Previous experience leading or mentoring engineering teams within an Agile environment. Excellent SQL skills, including experience with PostgreSQL, SQL Server and Databricks. Strong understanding of software architecture, engineering best practices and CI/CD. Comfortable working directly with SQL and relational databases without relying on ORMs. Excellent communication skills with the ability to engage both technical and non-technical stakeholders. Why Join Opportunity to shape the technical direction of modern, data-driven platforms. Hands-on leadership role combining engineering with technical strategy. Collaborative engineering culture focused on innovation, quality and continuous improvement. Competitive salary, bonus and comprehensive benefits package. Hybrid working from a modern London office. Additional Notes This is a permanent opportunity based in London, operating on a hybrid working model with three days per week in the office. The role may require occasional out-of-hours support and limited travel where necessary. Data & Application Notice We process personal data submitted as part of your application for recruitment purposes in line with UK GDPR. All applications are reviewed by a member of our team, we do not use automated decision-making in our selection process. Your application will be assessed against the requirements of this role. By applying to this advert, you consent to receiving future relevant roles and industry news and insights from us. To opt out of this, please contact: (see below) For more information on how we use your data, including how long we retain it & your rights, please refer to our Privacy Policy
Lead a high visibility data science function and shape business decisions at the highest level. Lead a small but impactful data science team and influence senior stakeholders across the business. Work on forecasting, machine learning and AI initiatives using Databricks, Python and modern analytics tools. 12-month FTC with strong salary, benefits and potential for possible extension. This Data Science Lead role combines hands-on technical work with people leadership. You'll lead a small team, build relationships with senior stakeholders and deliver analytics that directly influence commercial decisions. If you enjoy translating complex data into clear business outcomes, this could be a brilliant opportunity! What you'll be doing As Data Science Lead, you'll lead a team of Data Scientists and Analysts while remaining hands-on with analytics, forecasting and machine learning projects. You'll help shape priorities, coach your team and ensure high quality delivery across multiple workstreams.You'll work closely with commercial teams, senior leaders and executives to understand business challenges and turn them into practical, data-driven solutions. The role requires someone who is comfortable explaining technical concepts to non-technical audiences and influencing decision making at all levels.The Data Science Lead will identify opportunities to apply advanced analytics, forecasting, machine learning and AI to improve business performance. You'll partner with Data Engineering and BI teams to ensure solutions are scalable, embedded and delivering measurable value.This is a highly visible role where your work will directly impact strategy, performance and future business decisions. Sound like you? What experience you'll need to apply Previous experience in a Data Science Lead or similar senior data science position Strong commercial experience delivering data science solutions that drive measurable business outcomes Excellent Python and SQL skills Strong experience working with Databricks Experience developing forecasting models and advanced analytics solutions Experience with machine learning techniques and AI-powered solutions Previous line management, mentoring or team leadership experience Ability to communicate technical concepts clearly to non-technical stakeholders What you'll get in return for your experience You'll receive a salary of up to £65,000 plus a comprehensive benefits package. The role is based in Bristol with an expectation of two days per week in the office. This Data Science Lead opportunity is offered as a 12-month fixed-term contract, with the potential for extension depending on business requirements. What's next? Please apply via the advert and we'll get in touch if it's a good fit, and arrange a call!
Jul 08, 2026
Full time
Lead a high visibility data science function and shape business decisions at the highest level. Lead a small but impactful data science team and influence senior stakeholders across the business. Work on forecasting, machine learning and AI initiatives using Databricks, Python and modern analytics tools. 12-month FTC with strong salary, benefits and potential for possible extension. This Data Science Lead role combines hands-on technical work with people leadership. You'll lead a small team, build relationships with senior stakeholders and deliver analytics that directly influence commercial decisions. If you enjoy translating complex data into clear business outcomes, this could be a brilliant opportunity! What you'll be doing As Data Science Lead, you'll lead a team of Data Scientists and Analysts while remaining hands-on with analytics, forecasting and machine learning projects. You'll help shape priorities, coach your team and ensure high quality delivery across multiple workstreams.You'll work closely with commercial teams, senior leaders and executives to understand business challenges and turn them into practical, data-driven solutions. The role requires someone who is comfortable explaining technical concepts to non-technical audiences and influencing decision making at all levels.The Data Science Lead will identify opportunities to apply advanced analytics, forecasting, machine learning and AI to improve business performance. You'll partner with Data Engineering and BI teams to ensure solutions are scalable, embedded and delivering measurable value.This is a highly visible role where your work will directly impact strategy, performance and future business decisions. Sound like you? What experience you'll need to apply Previous experience in a Data Science Lead or similar senior data science position Strong commercial experience delivering data science solutions that drive measurable business outcomes Excellent Python and SQL skills Strong experience working with Databricks Experience developing forecasting models and advanced analytics solutions Experience with machine learning techniques and AI-powered solutions Previous line management, mentoring or team leadership experience Ability to communicate technical concepts clearly to non-technical stakeholders What you'll get in return for your experience You'll receive a salary of up to £65,000 plus a comprehensive benefits package. The role is based in Bristol with an expectation of two days per week in the office. This Data Science Lead opportunity is offered as a 12-month fixed-term contract, with the potential for extension depending on business requirements. What's next? Please apply via the advert and we'll get in touch if it's a good fit, and arrange a call!
Data Platform Manager UK / Remote Circa 65k - 75k per annum + bonus & benefits Are you ready to take ownership of a data platform and shape how data drives business decisions? This is a rare opportunity to step into a leadership role where you'll combine hands-on data engineering with strategic product management, all while building and mentoring a high-performing team. You'll play a pivotal role in evolving a modern data platform (Microsoft Fabric / Azure Synapse), ensuring it delivers real business value, scalability, and innovation. If you're passionate about data, leadership, and building robust data solutions-this is one you don't want to miss. What you'll be doing Own the end-to-end lifecycle of a core data platform, from design and build through to release, optimisation, and retirement Collaborate closely with product owners and data scientists to align platform capabilities with business needs Lead datalake migration initiatives, including consolidation of legacy data, medallion architecture design, schema evolution, and cutover planning Provide hands-on data engineering expertise, building and optimising PySpark pipelines Ensure data is secure, high-quality, accessible, and structured for maximum business value Drive best practice in data governance, cataloguing, lineage, and standards across the organisation Promote data re-use and reduce duplication across systems Oversee ETL processes, data integration, and BI architecture Manage and develop a small, high-performing data team, including mentoring, 1:1s, and continuous improvement initiatives Work closely with stakeholders across operations, analytics, and reporting teams Ensure compliance with data protection regulations and internal policies What you'll bring Strong hands-on experience in data engineering, including PySpark and production data pipelines Experience with Microsoft Fabric, Azure Synapse, or similar platforms (e.g. Databricks, AWS) Proven ability to design and manage scalable data pipelines, models, and schemas Solid SQL and relational database expertise Experience with datalake migration concepts (medallion architecture, incremental loads, backfill, cutover) Strong understanding of data governance, quality, and lifecycle management Experience with BI tools such as Power BI or Tableau Knowledge of DevOps practices (Git, Azure DevOps, CI/CD pipelines) Strong Python skills and experience with APIs/data integration tools Understanding of data protection regulations Leadership experience with the ability to mentor and develop teams Excellent communication, problem-solving, and stakeholder management skills Desirable: Experience with project management methodologies, SDLC tools, and awareness of emerging data trends What's in it for you? Performance-related bonus Private healthcare and life assurance 33 days annual leave (rising to 38 with service) Discounts across major retailers, restaurants, and holidays Generous family benefits and staff discounts Award-winning training and clear career progression Comprehensive wellbeing support for you and your family If you've held any of these roles or used these technologies/skills, this role could be a great fit: Data Product Manager, Data Engineering Lead, Lead Data Engineer, Azure Data Engineer, Data Platform Manager, Analytics Engineering Manager, Cloud Data Engineer, BI & Data Lead, PySpark Engineer, Databricks Engineer, Head of Data Engineering. Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate 1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn't right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd is acting as an Employment Agency in relation to this vacancy.
Jul 08, 2026
Full time
Data Platform Manager UK / Remote Circa 65k - 75k per annum + bonus & benefits Are you ready to take ownership of a data platform and shape how data drives business decisions? This is a rare opportunity to step into a leadership role where you'll combine hands-on data engineering with strategic product management, all while building and mentoring a high-performing team. You'll play a pivotal role in evolving a modern data platform (Microsoft Fabric / Azure Synapse), ensuring it delivers real business value, scalability, and innovation. If you're passionate about data, leadership, and building robust data solutions-this is one you don't want to miss. What you'll be doing Own the end-to-end lifecycle of a core data platform, from design and build through to release, optimisation, and retirement Collaborate closely with product owners and data scientists to align platform capabilities with business needs Lead datalake migration initiatives, including consolidation of legacy data, medallion architecture design, schema evolution, and cutover planning Provide hands-on data engineering expertise, building and optimising PySpark pipelines Ensure data is secure, high-quality, accessible, and structured for maximum business value Drive best practice in data governance, cataloguing, lineage, and standards across the organisation Promote data re-use and reduce duplication across systems Oversee ETL processes, data integration, and BI architecture Manage and develop a small, high-performing data team, including mentoring, 1:1s, and continuous improvement initiatives Work closely with stakeholders across operations, analytics, and reporting teams Ensure compliance with data protection regulations and internal policies What you'll bring Strong hands-on experience in data engineering, including PySpark and production data pipelines Experience with Microsoft Fabric, Azure Synapse, or similar platforms (e.g. Databricks, AWS) Proven ability to design and manage scalable data pipelines, models, and schemas Solid SQL and relational database expertise Experience with datalake migration concepts (medallion architecture, incremental loads, backfill, cutover) Strong understanding of data governance, quality, and lifecycle management Experience with BI tools such as Power BI or Tableau Knowledge of DevOps practices (Git, Azure DevOps, CI/CD pipelines) Strong Python skills and experience with APIs/data integration tools Understanding of data protection regulations Leadership experience with the ability to mentor and develop teams Excellent communication, problem-solving, and stakeholder management skills Desirable: Experience with project management methodologies, SDLC tools, and awareness of emerging data trends What's in it for you? Performance-related bonus Private healthcare and life assurance 33 days annual leave (rising to 38 with service) Discounts across major retailers, restaurants, and holidays Generous family benefits and staff discounts Award-winning training and clear career progression Comprehensive wellbeing support for you and your family If you've held any of these roles or used these technologies/skills, this role could be a great fit: Data Product Manager, Data Engineering Lead, Lead Data Engineer, Azure Data Engineer, Data Platform Manager, Analytics Engineering Manager, Cloud Data Engineer, BI & Data Lead, PySpark Engineer, Databricks Engineer, Head of Data Engineering. Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate 1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn't right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd is acting as an Employment Agency in relation to this vacancy.
Lead Data Scientist required by an established UK organisation on a 12-month fixed-term contract. This is an excellent opportunity for a technically strong data science professional who enjoys leading high-performing teams while remaining hands-on with advanced analytics, machine learning and AI. You'll play a key role in shaping the organisation's data strategy, delivering innovative analytical solutions and driving commercial value through data. The Role Reporting into the Head of Analytics, you'll lead a team of Data Scientists and Analysts, providing both technical direction and people leadership. You'll work closely with senior stakeholders across the business to identify opportunities where data science can improve decision-making, increase efficiency and unlock new commercial insights. This is a varied role combining leadership, stakeholder engagement and hands-on data science. Key Responsibilities Lead, mentor and develop a team of Data Scientists and Analysts. Deliver advanced analytics, predictive modelling and machine learning solutions to solve complex business challenges. Identify opportunities where AI and data science can create measurable business improvements. Translate business requirements into scalable analytical solutions. Work alongside Data Engineering and BI teams to deploy and maintain production-ready models. Champion innovation by evaluating emerging technologies and best practices within data science and AI. Present analytical findings and recommendations to senior stakeholders across the organisation. Drive continuous improvement across analytical capability, governance and delivery. About You You'll be an experienced Lead Data Scientist or Senior Data Scientist with previous leadership experience and a passion for delivering business value through data. You'll ideally have experience with: Python, SQL and either R or similar analytical languages. Machine Learning, predictive modelling and statistical analysis. Databricks or comparable cloud-based analytics platforms. Tableau, Power BI or other data visualisation tools. Working with cloud data platforms, data lakes and enterprise data warehouses. Leading and developing technical teams. Communicating complex analytical concepts to both technical and non-technical audiences. You'll be naturally inquisitive, commercially minded and enjoy working closely with stakeholders to solve challenging business problems. What's on Offer Salary between 70,000- 80,000 10% annual bonus Private Healthcare Generous pension 25 days annual leave plus the option to buy additional holiday Hybrid working (3 days per week in the Bristol office) Employee wellbeing programme Excellent learning and development opportunities A collaborative and supportive working environment This is a fantastic opportunity to join a forward-thinking organisation where data is central to business strategy and innovation. If you're interested in finding out more, we'd love to hear from you.
Jul 07, 2026
Full time
Lead Data Scientist required by an established UK organisation on a 12-month fixed-term contract. This is an excellent opportunity for a technically strong data science professional who enjoys leading high-performing teams while remaining hands-on with advanced analytics, machine learning and AI. You'll play a key role in shaping the organisation's data strategy, delivering innovative analytical solutions and driving commercial value through data. The Role Reporting into the Head of Analytics, you'll lead a team of Data Scientists and Analysts, providing both technical direction and people leadership. You'll work closely with senior stakeholders across the business to identify opportunities where data science can improve decision-making, increase efficiency and unlock new commercial insights. This is a varied role combining leadership, stakeholder engagement and hands-on data science. Key Responsibilities Lead, mentor and develop a team of Data Scientists and Analysts. Deliver advanced analytics, predictive modelling and machine learning solutions to solve complex business challenges. Identify opportunities where AI and data science can create measurable business improvements. Translate business requirements into scalable analytical solutions. Work alongside Data Engineering and BI teams to deploy and maintain production-ready models. Champion innovation by evaluating emerging technologies and best practices within data science and AI. Present analytical findings and recommendations to senior stakeholders across the organisation. Drive continuous improvement across analytical capability, governance and delivery. About You You'll be an experienced Lead Data Scientist or Senior Data Scientist with previous leadership experience and a passion for delivering business value through data. You'll ideally have experience with: Python, SQL and either R or similar analytical languages. Machine Learning, predictive modelling and statistical analysis. Databricks or comparable cloud-based analytics platforms. Tableau, Power BI or other data visualisation tools. Working with cloud data platforms, data lakes and enterprise data warehouses. Leading and developing technical teams. Communicating complex analytical concepts to both technical and non-technical audiences. You'll be naturally inquisitive, commercially minded and enjoy working closely with stakeholders to solve challenging business problems. What's on Offer Salary between 70,000- 80,000 10% annual bonus Private Healthcare Generous pension 25 days annual leave plus the option to buy additional holiday Hybrid working (3 days per week in the Bristol office) Employee wellbeing programme Excellent learning and development opportunities A collaborative and supportive working environment This is a fantastic opportunity to join a forward-thinking organisation where data is central to business strategy and innovation. If you're interested in finding out more, we'd love to hear from you.
Reed Technology
Newcastle Upon Tyne, Tyne And Wear
Location: Newcastle upon Tyne (primarily remote, occasional travel) Contract Type: Contract (Outside IR35) Day Rate: Up to 800 per day The Opportunity We're partnering with a highly respected Software business to find an experienced Data Engineer to support a major client engagement. This is a hands-on, client-facing role where you'll play a key part in shaping and delivering modern data platforms and pipelines. You'll work closely with stakeholders to unlock the value of data, building scalable solutions that support analytics, reporting, and advanced use cases such as machine learning. Role responsibilities: Lead the design and delivery of robust, scalable data platforms and pipelines Work alongside client teams to understand requirements and translate them into effective technical solutions Build and optimise data ingestion, transformation, and storage processes Develop integrated data models to enable reporting, analytics, and AI use cases Provide technical leadership and guidance to engineers within the delivery team Contribute to architectural decisions and best practices across the project lifecycle Key Skills & Experience we're looking for: Strong background in data engineering and software development Proven experience working with Databricks (essential) Hands-on expertise with tools such as Python, PySpark, Spark, and SQL Experience building and maintaining data pipelines and data platforms Solid understanding of data modelling and data architecture principles Experience working with cloud platforms (AWS, Azure, or GCP) Comfortable working in client-facing environments Why Apply? Great flexible working arrangement Opportunity to work on complex, high-impact data projects Collaborative, engineering-led culture with a focus on quality
Jul 07, 2026
Contractor
Location: Newcastle upon Tyne (primarily remote, occasional travel) Contract Type: Contract (Outside IR35) Day Rate: Up to 800 per day The Opportunity We're partnering with a highly respected Software business to find an experienced Data Engineer to support a major client engagement. This is a hands-on, client-facing role where you'll play a key part in shaping and delivering modern data platforms and pipelines. You'll work closely with stakeholders to unlock the value of data, building scalable solutions that support analytics, reporting, and advanced use cases such as machine learning. Role responsibilities: Lead the design and delivery of robust, scalable data platforms and pipelines Work alongside client teams to understand requirements and translate them into effective technical solutions Build and optimise data ingestion, transformation, and storage processes Develop integrated data models to enable reporting, analytics, and AI use cases Provide technical leadership and guidance to engineers within the delivery team Contribute to architectural decisions and best practices across the project lifecycle Key Skills & Experience we're looking for: Strong background in data engineering and software development Proven experience working with Databricks (essential) Hands-on expertise with tools such as Python, PySpark, Spark, and SQL Experience building and maintaining data pipelines and data platforms Solid understanding of data modelling and data architecture principles Experience working with cloud platforms (AWS, Azure, or GCP) Comfortable working in client-facing environments Why Apply? Great flexible working arrangement Opportunity to work on complex, high-impact data projects Collaborative, engineering-led culture with a focus on quality
Principal Engineer (Payments) Our long-term trusted partner, a leading financial services corporation, is hiring a Principal Engineer to drive the development and design of several greenfield retail banking platforms as our client continues on their digital transformation journey. This is a senior leadership position where the chosen engineer will lead real-time architectural decision making leading vision & strategy across Faster Payments, Real-Time Payments, Card payments, BACS, mobile wallets and APIs. Our client is paying a basic salary up to 110,000 (circa) + 25% bonus + benefits to be based in London, Chatham (Kent) or Wolverhampton onsite 2 days per week. Our client is seeking experienced engineers with recent retail / digital banking experience who can design new product roadmaps, focus on architectural challenges, and provide hands-on technical leadership to a team of engineers. Your responsibilities will include: Lead the development and implementation of a modern cloud foundation and data platform that is robust, scalable, fully automated, secure, and can support the growth of the business. Build Scalable Architectures: Leverage modern technologies to design and implement scalable, secure, and high-performing cloud-native solutions. API Development and Integration: Design and build secure RESTful and GraphQL APIs, ensuring seamless integration with core banking systems (e.g., Mambu) and external services like Open Banking platforms. Data Engineering and Analytics: Work closely with data teams to define robust data pipelines and scalable cloud-based data platforms using tools like Apache Kafka, Snowflake, or Databricks. Monitoring and Performance Tuning: Implement advanced monitoring and observability solutions using tools like Prometheus, Grafana, or Datadog to proactively identify and resolve performance bottlenecks. Code and System Optimisation: Proactively analyse and optimise existing systems for improved performance, scalability, and maintainability. Core skill set for this position: Strong experience building and scaling banking payment systems including either Faster Payments, Real-Time Payments, Card payments, BACS, mobile wallets and APIs is a must have. Experience leading upon architectural challenges, system scalability, and guidance of engineering teams is a must. A background in Java, C#, Python, or React development with experience providing hands-on technical leadership is a must. Strong background in core banking systems/platforms (Mambu), cloud-native architectures, microservices and DevOps practices Solid understanding of regulatory, risk and compliance requirements (e.g. PSD2, PCI DSS, GDPR) Experience with cloud platforms (AWS, Azure or GCP) and modern data platforms Benefits: 110,000 crica / 25% bonus / 28 days holiday / Holiday Purchase Scheme / Occasional travel / Health Insurance / 13% pension / plus much more. Principal Engineer (Payments)
Jul 07, 2026
Full time
Principal Engineer (Payments) Our long-term trusted partner, a leading financial services corporation, is hiring a Principal Engineer to drive the development and design of several greenfield retail banking platforms as our client continues on their digital transformation journey. This is a senior leadership position where the chosen engineer will lead real-time architectural decision making leading vision & strategy across Faster Payments, Real-Time Payments, Card payments, BACS, mobile wallets and APIs. Our client is paying a basic salary up to 110,000 (circa) + 25% bonus + benefits to be based in London, Chatham (Kent) or Wolverhampton onsite 2 days per week. Our client is seeking experienced engineers with recent retail / digital banking experience who can design new product roadmaps, focus on architectural challenges, and provide hands-on technical leadership to a team of engineers. Your responsibilities will include: Lead the development and implementation of a modern cloud foundation and data platform that is robust, scalable, fully automated, secure, and can support the growth of the business. Build Scalable Architectures: Leverage modern technologies to design and implement scalable, secure, and high-performing cloud-native solutions. API Development and Integration: Design and build secure RESTful and GraphQL APIs, ensuring seamless integration with core banking systems (e.g., Mambu) and external services like Open Banking platforms. Data Engineering and Analytics: Work closely with data teams to define robust data pipelines and scalable cloud-based data platforms using tools like Apache Kafka, Snowflake, or Databricks. Monitoring and Performance Tuning: Implement advanced monitoring and observability solutions using tools like Prometheus, Grafana, or Datadog to proactively identify and resolve performance bottlenecks. Code and System Optimisation: Proactively analyse and optimise existing systems for improved performance, scalability, and maintainability. Core skill set for this position: Strong experience building and scaling banking payment systems including either Faster Payments, Real-Time Payments, Card payments, BACS, mobile wallets and APIs is a must have. Experience leading upon architectural challenges, system scalability, and guidance of engineering teams is a must. A background in Java, C#, Python, or React development with experience providing hands-on technical leadership is a must. Strong background in core banking systems/platforms (Mambu), cloud-native architectures, microservices and DevOps practices Solid understanding of regulatory, risk and compliance requirements (e.g. PSD2, PCI DSS, GDPR) Experience with cloud platforms (AWS, Azure or GCP) and modern data platforms Benefits: 110,000 crica / 25% bonus / 28 days holiday / Holiday Purchase Scheme / Occasional travel / Health Insurance / 13% pension / plus much more. Principal Engineer (Payments)
Principal Engineer (Payments) Our long-term trusted partner, a leading financial services corporation, is hiring a Principal Engineer to drive the development and design of several greenfield retail banking platforms as our clients rebuild their product portfolio as they continue on their digitial transformation journey. This is a senior leadership position where the chosen engineer will lead real-time architectural decision making leading vision & strategy across Faster Payments, Real-Time Payments, Card payments, BACS, mobile wallets and APIs. Our client is paying a basic salary up to 110,000 (circa) + 25% bonus + benefits to be based in London, Chatham (Kent) or Wolverhampton onsite 2 days per week. Our client is seeking experienced engineers with recent retail / digital banking experience who can design new product roadmaps, focus on architectural challenges, and provide hands-on technical leadership to a team of engineers. Your responsibilities will include: Lead the development and implementation of a modern cloud foundation and data platform that is robust, scalable, fully automated, secure, and can support the growth of the business. Build Scalable Architectures: Leverage modern technologies to design and implement scalable, secure, and high-performing cloud-native solutions. API Development and Integration: Design and build secure RESTful and GraphQL APIs, ensuring seamless integration with core banking systems (e.g., Mambu) and external services like Open Banking platforms. Data Engineering and Analytics: Work closely with data teams to define robust data pipelines and scalable cloud-based data platforms using tools like Apache Kafka, Snowflake, or Databricks. Monitoring and Performance Tuning: Implement advanced monitoring and observability solutions using tools like Prometheus, Grafana, or Datadog to proactively identify and resolve performance bottlenecks. Code and System Optimisation: Proactively analyse and optimise existing systems for improved performance, scalability, and maintainability. Core skill set for this position: Strong experience building and scaling banking payment systems including either Faster Payments, Real-Time Payments, Card payments, BACS, mobile wallets and APIs is a must have. Experience leading upon architectural challenges, system scalability, and guidance of engineering teams is a must. A background in Java, C#, Python, or React development with experience providing hands-on technical leadership is a must. Strong background in core banking systems/platforms (Mambu), cloud-native architectures, microservices and DevOps practices Solid understanding of regulatory, risk and compliance requirements (e.g. PSD2, PCI DSS, GDPR) Experience with cloud platforms (AWS, Azure or GCP) and modern data platforms Benefits: 110,000 crica / 25% bonus / 28 days holiday / Holiday Purchase Scheme / Occasional travel / Health Insurance / 13% pension / plus much more. Principal Engineer (Payments)
Jul 07, 2026
Full time
Principal Engineer (Payments) Our long-term trusted partner, a leading financial services corporation, is hiring a Principal Engineer to drive the development and design of several greenfield retail banking platforms as our clients rebuild their product portfolio as they continue on their digitial transformation journey. This is a senior leadership position where the chosen engineer will lead real-time architectural decision making leading vision & strategy across Faster Payments, Real-Time Payments, Card payments, BACS, mobile wallets and APIs. Our client is paying a basic salary up to 110,000 (circa) + 25% bonus + benefits to be based in London, Chatham (Kent) or Wolverhampton onsite 2 days per week. Our client is seeking experienced engineers with recent retail / digital banking experience who can design new product roadmaps, focus on architectural challenges, and provide hands-on technical leadership to a team of engineers. Your responsibilities will include: Lead the development and implementation of a modern cloud foundation and data platform that is robust, scalable, fully automated, secure, and can support the growth of the business. Build Scalable Architectures: Leverage modern technologies to design and implement scalable, secure, and high-performing cloud-native solutions. API Development and Integration: Design and build secure RESTful and GraphQL APIs, ensuring seamless integration with core banking systems (e.g., Mambu) and external services like Open Banking platforms. Data Engineering and Analytics: Work closely with data teams to define robust data pipelines and scalable cloud-based data platforms using tools like Apache Kafka, Snowflake, or Databricks. Monitoring and Performance Tuning: Implement advanced monitoring and observability solutions using tools like Prometheus, Grafana, or Datadog to proactively identify and resolve performance bottlenecks. Code and System Optimisation: Proactively analyse and optimise existing systems for improved performance, scalability, and maintainability. Core skill set for this position: Strong experience building and scaling banking payment systems including either Faster Payments, Real-Time Payments, Card payments, BACS, mobile wallets and APIs is a must have. Experience leading upon architectural challenges, system scalability, and guidance of engineering teams is a must. A background in Java, C#, Python, or React development with experience providing hands-on technical leadership is a must. Strong background in core banking systems/platforms (Mambu), cloud-native architectures, microservices and DevOps practices Solid understanding of regulatory, risk and compliance requirements (e.g. PSD2, PCI DSS, GDPR) Experience with cloud platforms (AWS, Azure or GCP) and modern data platforms Benefits: 110,000 crica / 25% bonus / 28 days holiday / Holiday Purchase Scheme / Occasional travel / Health Insurance / 13% pension / plus much more. Principal Engineer (Payments)
About the Company A leading UK consulting and administration business specialising in pensions and insurance services. The organisation combines deep industry expertise with advanced technology and analytics to support large-scale pension schemes and their sponsoring employers. It provides administration for over one million members and delivers advisory services across schemes of all sizes, including many with assets exceeding £1bn. It also supports insurance clients in the life and bulk annuities sector. Package Details Remote (UK) | £45,000-£60,000 + 6% bonus Main Duties and Responsibilities Model Development (Azure Machine Learning Studio focus) Work collaboratively with actuarial and analytics teams to design, build, and deploy machine learning and statistical models using Azure Machine Learning Studio (AML Studio) in production environments. Apply appropriate ML techniques to improve predictions such as longevity, default risk, and investment outcomes. Machine Learning Operations (MLOps in Azure) Manage the full ML life cycle using Azure ML Studio, including deployment, monitoring, retraining pipelines, and version control. Implement robust MLOps practices such as model drift detection, data quality monitoring, and automated retraining workflows. Data Engineering and Preprocessing Develop and maintain scalable data pipelines using Python, SQL, and Azure Data Factory (ADF). Ensure data is clean, reliable, and structured for use in Azure ML Studio workflows. Software Development Produce clean, efficient, and production-grade Python code. Apply CI/CD practices and DevOps/MLOps principles integrated with Azure Machine Learning Studio environments. Cross-functional Collaboration Work closely with actuarial analysts and modelling teams to translate outputs from Azure ML Studio into actionable insights and business recommendations. Innovation and Continuous Improvement Stay up to date with developments in Azure Machine Learning Studio, MLOps, and data science technologies, identifying opportunities to improve models, automation, and delivery efficiency. Training and Knowledge Sharing Support and train team members on machine learning approaches and Azure ML Studio workflows, including deployment and monitoring practices. Stakeholder Communication Clearly explain machine learning concepts and Azure ML Studio-based solutions to both technical and non-technical stakeholders. Job Requirements Essential Strong hands-on experience with Azure Machine Learning Studio (AML Studio), including end-to-end model development, deployment, monitoring, and life cycle management in production environments Experience building and optimising ML models using Azure ML workflows Strong Python and SQL skills for data manipulation, modelling, and automation Experience with Azure Data Factory (ADF) for data pipeline development Strong understanding of CI/CD and MLOps practices, ideally within Azure environments Experience with data visualisation tools such as Power BI Strong communication skills with ability to explain technical concepts clearly to non-technical audiences Desirable Experience in pensions, insurance, or regulated financial services Experience working in multidisciplinary analytics or actuarial teams Broader exposure to Azure ecosystem tools (eg, Azure DevOps, Databricks) Key Requirement The most critical requirement for this role is hands-on, production-level experience with Azure Machine Learning Studio (AML Studio), including building and deploying ML models end-to-end, managing model life cycle in production, implementing MLOps workflows (monitoring, drift detection, retraining), and integrating Azure ML Studio with data pipelines and CI/CD processes. Due to the volume of applications received for positions, it will not be possible to respond to all applications and only applicants who are considered suitable for interview will be contacted. Proactive Appointments Limited operates as an employment agency and employment business and is an equal opportunities organisation We take our obligations to protect your personal data very seriously. Any information provided to us will be processed as detailed in our Privacy Notice, a copy of which can be found on our website
Jul 07, 2026
Full time
About the Company A leading UK consulting and administration business specialising in pensions and insurance services. The organisation combines deep industry expertise with advanced technology and analytics to support large-scale pension schemes and their sponsoring employers. It provides administration for over one million members and delivers advisory services across schemes of all sizes, including many with assets exceeding £1bn. It also supports insurance clients in the life and bulk annuities sector. Package Details Remote (UK) | £45,000-£60,000 + 6% bonus Main Duties and Responsibilities Model Development (Azure Machine Learning Studio focus) Work collaboratively with actuarial and analytics teams to design, build, and deploy machine learning and statistical models using Azure Machine Learning Studio (AML Studio) in production environments. Apply appropriate ML techniques to improve predictions such as longevity, default risk, and investment outcomes. Machine Learning Operations (MLOps in Azure) Manage the full ML life cycle using Azure ML Studio, including deployment, monitoring, retraining pipelines, and version control. Implement robust MLOps practices such as model drift detection, data quality monitoring, and automated retraining workflows. Data Engineering and Preprocessing Develop and maintain scalable data pipelines using Python, SQL, and Azure Data Factory (ADF). Ensure data is clean, reliable, and structured for use in Azure ML Studio workflows. Software Development Produce clean, efficient, and production-grade Python code. Apply CI/CD practices and DevOps/MLOps principles integrated with Azure Machine Learning Studio environments. Cross-functional Collaboration Work closely with actuarial analysts and modelling teams to translate outputs from Azure ML Studio into actionable insights and business recommendations. Innovation and Continuous Improvement Stay up to date with developments in Azure Machine Learning Studio, MLOps, and data science technologies, identifying opportunities to improve models, automation, and delivery efficiency. Training and Knowledge Sharing Support and train team members on machine learning approaches and Azure ML Studio workflows, including deployment and monitoring practices. Stakeholder Communication Clearly explain machine learning concepts and Azure ML Studio-based solutions to both technical and non-technical stakeholders. Job Requirements Essential Strong hands-on experience with Azure Machine Learning Studio (AML Studio), including end-to-end model development, deployment, monitoring, and life cycle management in production environments Experience building and optimising ML models using Azure ML workflows Strong Python and SQL skills for data manipulation, modelling, and automation Experience with Azure Data Factory (ADF) for data pipeline development Strong understanding of CI/CD and MLOps practices, ideally within Azure environments Experience with data visualisation tools such as Power BI Strong communication skills with ability to explain technical concepts clearly to non-technical audiences Desirable Experience in pensions, insurance, or regulated financial services Experience working in multidisciplinary analytics or actuarial teams Broader exposure to Azure ecosystem tools (eg, Azure DevOps, Databricks) Key Requirement The most critical requirement for this role is hands-on, production-level experience with Azure Machine Learning Studio (AML Studio), including building and deploying ML models end-to-end, managing model life cycle in production, implementing MLOps workflows (monitoring, drift detection, retraining), and integrating Azure ML Studio with data pipelines and CI/CD processes. Due to the volume of applications received for positions, it will not be possible to respond to all applications and only applicants who are considered suitable for interview will be contacted. Proactive Appointments Limited operates as an employment agency and employment business and is an equal opportunities organisation We take our obligations to protect your personal data very seriously. Any information provided to us will be processed as detailed in our Privacy Notice, a copy of which can be found on our website
Data Scientist (Palantir/FDP essential) - £560/day (Inside IR35) - RemoteYou will require Palantir (FDP) experience as well and UK Citizenship to apply I'm currently looking for an experienced Data Scientist with strong Data Engineering capability to join a high-profile public sector organisation working on a major digital screening programme. This is a genuinely impactful piece of work where you'll be shaping how data is used to drive decisions through modern dashboards and reporting products. What you'll be doing You'll be working as part of an Agile, multidisciplinary team, taking ownership of data exploration and engineering to support new digital services. On a day-to-day basis, you will: *Lead exploratory data analysis to understand datasets and inform product decisions *Define dashboard requirements and determine what good looks like from a reporting perspective *Design and build data pipelines and datasets for dashboards *Identify and mitigate data quality risks *Develop reusable code in Python and PySpark for data prep and analysis *Collaborate closely with Data Engineers, Analysts and UCD professionals *Work within modern engineering practices including CI/CD, TDD and DevSecOps *Pair programme and contribute to a strong engineering culture What I need from you (essential) To be considered, your CV must clearly show experience with the following: *Palantir (FDP) *Python *PySpark *Exploratory Data Analysis *Data pipeline design/data engineering concepts *Dashboard/reporting dataset development *BI tools (Redshift, Databricks or similar) *Agile delivery environments If these technologies aren't clearly visible on your CV, you're unlikely to be shortlisted - so please make sure they are easy to find before applying. Nice to have (not essential) *Experience within a wider public sector data environment *Exposure to screening or clinical datasets What this role IS *A hands-on data role blending Data Science and Engineering *A chance to influence real-world digital services *A collaborative Agile environment working with strong technical teams *A role where you'll own problems and drive solutions What this role ISN'T *Not a purely academic Data Science position *Not a reporting-only/BA-style role *Not a role where you'll just "pick up tickets" with no ownership *Not suitable if your experience is light on Python, PySpark or Palantir Key Details £560 per day (Inside IR35) Start ASAP Running until November 2026 (extensions very likely) Remote with occasional travel to London Must be a UK National with 5+ years continuous UK residency Next Steps If this aligns with your experience, send me your CV and make sure it clearly highlights the key skills in bold above - that will help fast-track your application. If it looks like a strong match, I'll be in touch quickly to discuss next steps. 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.
Jun 11, 2026
Contractor
Data Scientist (Palantir/FDP essential) - £560/day (Inside IR35) - RemoteYou will require Palantir (FDP) experience as well and UK Citizenship to apply I'm currently looking for an experienced Data Scientist with strong Data Engineering capability to join a high-profile public sector organisation working on a major digital screening programme. This is a genuinely impactful piece of work where you'll be shaping how data is used to drive decisions through modern dashboards and reporting products. What you'll be doing You'll be working as part of an Agile, multidisciplinary team, taking ownership of data exploration and engineering to support new digital services. On a day-to-day basis, you will: *Lead exploratory data analysis to understand datasets and inform product decisions *Define dashboard requirements and determine what good looks like from a reporting perspective *Design and build data pipelines and datasets for dashboards *Identify and mitigate data quality risks *Develop reusable code in Python and PySpark for data prep and analysis *Collaborate closely with Data Engineers, Analysts and UCD professionals *Work within modern engineering practices including CI/CD, TDD and DevSecOps *Pair programme and contribute to a strong engineering culture What I need from you (essential) To be considered, your CV must clearly show experience with the following: *Palantir (FDP) *Python *PySpark *Exploratory Data Analysis *Data pipeline design/data engineering concepts *Dashboard/reporting dataset development *BI tools (Redshift, Databricks or similar) *Agile delivery environments If these technologies aren't clearly visible on your CV, you're unlikely to be shortlisted - so please make sure they are easy to find before applying. Nice to have (not essential) *Experience within a wider public sector data environment *Exposure to screening or clinical datasets What this role IS *A hands-on data role blending Data Science and Engineering *A chance to influence real-world digital services *A collaborative Agile environment working with strong technical teams *A role where you'll own problems and drive solutions What this role ISN'T *Not a purely academic Data Science position *Not a reporting-only/BA-style role *Not a role where you'll just "pick up tickets" with no ownership *Not suitable if your experience is light on Python, PySpark or Palantir Key Details £560 per day (Inside IR35) Start ASAP Running until November 2026 (extensions very likely) Remote with occasional travel to London Must be a UK National with 5+ years continuous UK residency Next Steps If this aligns with your experience, send me your CV and make sure it clearly highlights the key skills in bold above - that will help fast-track your application. If it looks like a strong match, I'll be in touch quickly to discuss next steps. 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.
Data Engineer- £45,000- Remote About the Role As a Data Engineer , you will be a key member of our agile delivery team, working closely with clients to unlock the full value of their data. This is a hands-on role where you'll be designing and implementing data solutions using cutting-edge tools in the Azure ecosystem. You'll have the opportunity to develop your technical expertise while contributing to high-impact projects across a variety of industries. We operate with a Winning from Anywhere® philosophy, offering flexibility in where you work while maintaining a strong team culture through regular client site visits, company events, and collaboration opportunities. Key Responsibilities Deliver end-to-end data solutions, including acquisition, engineering, modelling, analysis, and visualisation. Lead and participate in workshops to gather requirements and engage with clients on both technical and business levels. Design and implement scalable, robust ETL/ELT pipelines using Microsoft/Azure technologies such as Azure Data Factory, Synapse, Databricks, or Fabric. Build and optimise data lake solutions using medallion architecture. Support cloud migration of on-premises SQL Server-based data platforms (SQL, SSIS, SSAS, SSRS). Develop reports, dashboards, and analytics solutions using Power BI. Provide ongoing support and enhancements to solutions post-deployment. Skills and Experience Essential: Proven experience in a Data Engineering or Data Warehouse Development role. Strong hands-on expertise with Azure/Microsoft and/or SQL Server technology stacks. Proficiency in ETL/ELT development using tools like Azure Synapse, Data Factory, Databricks, or Fabric. Advanced SQL and Python skills (DDL, DML, Stored Procedures, Notebooks). Understanding of lakehouse architecture and medallion design principles. Ability to work with large, complex datasets from multiple sources. Strong knowledge of BI and data warehousing concepts. Experience with Power BI for reporting and data visualisation. Excellent communication and client engagement skills. What We Offer Remote-first working model (Winning from Anywhere®) 25 days annual holiday Monthly home working allowance Set-up allowance for home office 24/7 virtual GP access Employee Assistance Programme (available 24/7) Company sick pay scheme Life assurance (4x base salary) Private health insurance after 1 year of service Enhanced parental leave and pay Cyclescheme and electric car scheme Opportunity to work with a 3 World Class Best Company* To apply for this role please submit your CV or contact Dillon Blackburn (see below) 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 07, 2025
Full time
Data Engineer- £45,000- Remote About the Role As a Data Engineer , you will be a key member of our agile delivery team, working closely with clients to unlock the full value of their data. This is a hands-on role where you'll be designing and implementing data solutions using cutting-edge tools in the Azure ecosystem. You'll have the opportunity to develop your technical expertise while contributing to high-impact projects across a variety of industries. We operate with a Winning from Anywhere® philosophy, offering flexibility in where you work while maintaining a strong team culture through regular client site visits, company events, and collaboration opportunities. Key Responsibilities Deliver end-to-end data solutions, including acquisition, engineering, modelling, analysis, and visualisation. Lead and participate in workshops to gather requirements and engage with clients on both technical and business levels. Design and implement scalable, robust ETL/ELT pipelines using Microsoft/Azure technologies such as Azure Data Factory, Synapse, Databricks, or Fabric. Build and optimise data lake solutions using medallion architecture. Support cloud migration of on-premises SQL Server-based data platforms (SQL, SSIS, SSAS, SSRS). Develop reports, dashboards, and analytics solutions using Power BI. Provide ongoing support and enhancements to solutions post-deployment. Skills and Experience Essential: Proven experience in a Data Engineering or Data Warehouse Development role. Strong hands-on expertise with Azure/Microsoft and/or SQL Server technology stacks. Proficiency in ETL/ELT development using tools like Azure Synapse, Data Factory, Databricks, or Fabric. Advanced SQL and Python skills (DDL, DML, Stored Procedures, Notebooks). Understanding of lakehouse architecture and medallion design principles. Ability to work with large, complex datasets from multiple sources. Strong knowledge of BI and data warehousing concepts. Experience with Power BI for reporting and data visualisation. Excellent communication and client engagement skills. What We Offer Remote-first working model (Winning from Anywhere®) 25 days annual holiday Monthly home working allowance Set-up allowance for home office 24/7 virtual GP access Employee Assistance Programme (available 24/7) Company sick pay scheme Life assurance (4x base salary) Private health insurance after 1 year of service Enhanced parental leave and pay Cyclescheme and electric car scheme Opportunity to work with a 3 World Class Best Company* To apply for this role please submit your CV or contact Dillon Blackburn (see below) 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.
