Data Engineering Jobs

83zero · London · £65,000 – £75,000 pa

Client-facing consulting role building and maintaining scalable data pipelines with Azure Data Factory, Databricks and Azure SQL, plus ETL in SQL and Python. You'll design Kimball, 3NF and dimensional models, develop metadata-driven pipelines and work with financial services clients on reporting, analytics and operational data platforms.

Clockwork Recruitment Ltd · Henley-on-Thames · £80,000 pa

Oversee application portfolios and lead project delivery for Azure-based data solutions, including Data Factory, Data Lake and Databricks. Work with global teams and external vendors on scalable, secure data integration and analytics within a corporate governance framework, managing budgets and sharing knowledge across distributed teams.

Network IT · Birmingham · £36,000 – £46,000 pa

Hands-on role developing enterprise reporting and analytics solutions using Power BI, Tableau, Snowflake, SQL, dbt and Alteryx within a growing Data & Analytics function. Involves building dashboards, data pipelines and models, ensuring data quality and governance, and engaging stakeholders to translate requirements into technical solutions, with scope to explore AI-enabled analytics.

Blackwaters CG Ltd · Farnborough · £40,000 – £50,000 pa

Lead the development of Business Intelligence capability for an investor-backed business services company, designing enterprise-quality Power BI dashboards, semantic models and self-service reporting. Build Azure-based data pipelines and ETL processes while applying commercial analysis to support pricing, forecasting and growth modelling. The role also involves influencing senior stakeholders and championing data literacy across the organisation.

Michael Page · Nottingham · £55,000 – £57,000 pa

Builds and maintains data pipelines, ETL processes and data warehouses for a global commercial retailer, optimising databases for performance and scalability. Works with SQL, Python/Java/Scala and Azure tooling such as Data Factory, Logic Apps and Databricks, reporting into the Lead Data Engineer. One day per week onsite in Nottingham.

CBSbutler Holdings Limited trading as CBSbutler · London · £70,000 – £80,000 pa

Hands-on engineering role building, maintaining and optimising data pipelines using KDB+/q and Python, working with large financial datasets and high-performance data solutions in a banking environment. Sits within a capital markets context, with banking or financial services experience considered an advantage.

Integrity Recruitment Solutions · Birmingham

Lead BI Developer role focused on designing and building data platforms during a major business and IT transformation, with data enhancement as a central focus. The business is transitioning to Microsoft Fabric, working with SQL, Python/PySpark, Data Factory and AI tools such as Microsoft Copilot. The role is expected to grow, requiring managerial and leadership experience to build out additional team members.

SoCode · London · £60,000 – £80,000 pa

Hands-on role building and maintaining a scalable data platform for a wealth management business, developing pipelines in Python and SQL and transforming data from multiple sources. You'll work with PostgreSQL and Snowflake, build data models, and implement quality checks, validation and reconciliation processes, applying Medallion Architecture principles.

Intec Select · Thetford · £94,000 pa

Senior strategic role shaping data linkage, data architecture and digital technology initiatives across the UK health data ecosystem. Involves identifying emerging technologies and investment opportunities, assessing existing programmes, building partnerships with research, government and funding bodies, and providing technical leadership across complex multidisciplinary programmes.

CBSbutler Holdings Limited trading as CBSbutler · London · £85,000 – £115,000 pa

Develops and maintains high-performance, data-driven applications using KDB+/q and Python, building and optimising data pipelines and time-series solutions. Works on query performance, data processing and system efficiency, troubleshooting issues and collaborating with technical teams. Financial services or capital markets background is preferred.

Investigo · Egham · £85,000 – £95,000 pa

Own and evolve a global Snowflake platform already live across multiple countries, combining hands-on engineering with platform strategy, standards and governance. Work with data teams in the UK, US and Europe on international rollouts, AWS and dbt adoption, and CI/CD practices, while managing third-party vendors and delivery partners.

Michael Page · Leeds · £40,000 – £48,000 pa

Analyse large datasets to uncover trends and build predictive models and algorithms that support strategic decisions in a financial services setting. Work within a collaborative analytics team, presenting findings to non-technical stakeholders and helping maintain data pipelines and infrastructure.

Amtis Professional · Birmingham · £40,000 – £45,000 pa

Builds and develops a central data platform supporting reporting, analytics and emerging AI use cases. Covers the full data lifecycle: ingesting from internal and external sources and APIs, ETL/ELT transformation, data modelling and database design, plus Power BI dashboards. Works in a Microsoft Fabric/Azure stack with SQL, Python and Git in a collaborative team.

Palantir Technologies · Washington, United States · US$145,000 – US$200,000 pa

Owns model-serving infrastructure end-to-end, building high-performance inference systems that run across air-gapped government networks, edge nodes and data-sovereign enterprises. Works across the full stack from GPU scheduling and container orchestration to deployment pipelines and observability, using Java, Rust, Python and Go with Docker and Kubernetes.

Palantir Technologies · New York, United States · US$145,000 – US$200,000 pa

Owns end-to-end services for deploying and serving ML models across air-gapped government networks, edge nodes, and data-sovereign enterprises with constrained GPUs. Work spans inference engines, GPU scheduling, packaging and deployment pipelines, observability, and integration with Palantir's platform, using Java, Rust, Python, Go, Docker and Kubernetes.