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.

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.

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.

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.

Matchtech · Surrey · £50,000 – £75,000 pa

Design, build and run scalable batch and streaming data pipelines and data models that turn complex sensor and geospatial sources into reliable datasets for analytics and machine learning. Work across Azure plus edge and on-prem deployments with data scientists, analysts and platform engineers in a Kanban team, supporting embeddings and LLM-enabled conversational analytics.

Harnham - Data and Analytics Recruitment · Newcastle upon Tyne · £75,000 – £84,000 pa

Hands-on role supporting, improving and scaling an enterprise Azure-based data platform, ensuring it stays reliable, secure, observable and production-ready. Day to day involves Microsoft Fabric, Azure Databricks, CI/CD, Terraform, monitoring and incident resolution, working closely with Architecture, Security and Infrastructure teams.

Tenth Revolution Group · Reading · £60,000 pa

Hands-on role building and evolving scalable data pipelines on a Microsoft-based platform, using Databricks, SQL, Python and PySpark. Covers ETL, data integration, transformations, data warehousing and SQL performance, working with technology and business teams to turn requirements into reliable data solutions.