Data Engineering Jobs

• London

Embed with strategic enterprise customers to design, build and productionise custom fullstack data and AI applications on the Databricks Data Intelligence Platform. Own architecture and end-to-end delivery spanning data engineering, ML/AI integration and user-facing interfaces, partnering with Sales, Product and Field Engineering. Requires up to 50% travel to client sites.

Databricks · OpenAI · Anthropic +7

• London
• Mid-level

Customer-facing, billable engineering role embedding with clients to design, build and productionize end-to-end data and AI systems on the Databricks platform. You own architecture and design decisions across data engineering, ML/AI model integration and application development, working alongside engagement managers, architects and customer teams, with around 20% travel.

Databricks · Apache Spark · AWS +5

• Manchester
• Remote
• £84,160 – £126,240 pa
• Senior

Owns complex Maia rollouts end to end, running discovery, architecting multi-cloud deployments and writing production-grade code, including modifying Matillion's own product codebase where features are missing. Acts as a cross-functional escalation point across Sales, Product and Customer Success, mentors junior FDEs and works agentic-first with AI tools.

AWS · Azure · GCP +6

• London
• Hybrid
• £80,000 – £90,000 pa
• Lead · manages people
• Permanent

A hands-on lead role in a founder-led consultancy's data infrastructure practice, spanning pipelines, lakehouse, modelling, BI and integrations. You set technical direction, stay a primary engineer on client missions, and line manage engineers with the aim of growing them into leads. Hybrid working with direct founder and client stakeholder access.

Fivetran · Databricks · dbt +3

• Norfolk, United States
• Hybrid
• US$135,000 – US$200,000 pa

Forward Deployed Software Engineers embed directly with government customers, working in small autonomous teams to scope open-ended problems and build data-driven solutions end to end. The day spans architecture discussions, large-scale data wrangling, custom web app development and executive-level strategy work, with travel to customer sites as needed.

• New York, United States
• US$135,000 – US$145,000 pa
• Entry level

New-grad engineers embed directly with customers on the Warp Speed team, working from factory floor to board room to understand problems and build data-driven solutions. Day to day involves architecting custom applications, wrangling massive-scale data with AI, and owning projects end to end in small agile teams, with up to 25% travel to client sites.

Palantir

• London
• Mid-level
• Permanent

Design and build real-time middleware and runtime software connecting industrial control hardware to AWS cloud services, including data-exchange layers, type systems, and pub/sub or request/reply communication patterns. The role involves industrial protocol integrations (OPC-UA, Modbus, EtherCAT), edge-to-cloud telemetry with delivery guarantees, and engineering for bounded latency and real-time correctness on constrained hardware.

AWS · IEC 61131-3 · EtherCAT +6

• London
• Hybrid
• £40,000 – £80,000 pa
• Permanent

Builds and supports data products on a modern cloud platform, developing and optimising scalable batch and real-time pipelines while integrating large datasets with strong governance. Works in a collaborative agile squad of data and AI engineers, scientists and architects, using Databricks or Snowflake on AWS, Python, PySpark, Airflow and Terraform, with scope to experiment with ML and generative AI.

Databricks · Snowflake · AWS +7

• London
• £100,000 – £150,000 pa
• Senior
• Permanent

Lead data architecture engagements for insurance clients, shaping strategies and recommendations aligned to business priorities. You'll direct discussions with senior business and technology stakeholders, guide delivery teams, and build client relationships while contributing to proposals and new engagements. Insurance sector knowledge and independent client-facing confidence are central.

• Birmingham
• Remote
• Lead · manages people

Lead BI Developer role focused on designing and building data platforms as the business transitions to Microsoft Fabric. Day-to-day work spans SQL, Python/PySpark, Data Factory and AI tools like Microsoft Copilot, with growing managerial and leadership responsibilities as the team expands. Primarily home-based with flexible UK office locations.

Microsoft Fabric · Python · PySpark +2

• London
• Hybrid · 3 days in office
• £50,000 – £60,000 pa

Builds and maintains scalable ETL/ELT pipelines and curated, business-ready datasets that power reporting, dashboards and self-service analytics. Works closely with BI Developers and stakeholders to optimise SQL, data models and pipeline performance, with a focus on cloud platforms such as AWS Redshift, Athena, S3 and Glue. Backend-focused rather than dashboard or reporting development.

AWS · Redshift · Athena +6

• Southampton
• £40,000 – £45,000 pa
• Mid-level

Design, develop and maintain data pipelines supporting sports analytics and player tracking, working extensively with Python and SQL. You'll help grow a Databricks environment, integrate event and tracking data, and work closely with Data Scientists while taking technical ownership of data engineering challenges and architecture decisions.

Databricks

• Birmingham
• Hybrid
• Lead
• Permanent · Flexible

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.

Microsoft Fabric · Data Factory · Microsoft Copilot

• Alford
• Hybrid · 3 days in office
• £45,000 – £50,000 pa
• Senior
• Permanent

Design, build and optimise large-scale data solutions on a cloud data platform, developing and maintaining ETL pipelines in Python and AWS services such as Glue and S3. Monitor and improve data processes with tools like Datadog, orchestrate data extraction into the Data Warehouse, and work with senior stakeholders, product teams and engineers to drive best practice.

AWS · AWS Glue · Amazon S3 +1

• United Kingdom
• Hybrid · 3 days in office
• £45,000 – £50,000 pa
• Senior
• Permanent

Design, build and optimise large-scale data solutions on an enterprise data platform, developing and maintaining ETL pipelines in Python and working with AWS services such as Glue and S3. Monitor and improve data processes using tools like Datadog, orchestrate data extraction into the Data Warehouse, and collaborate with senior stakeholders, product teams and engineers to drive best practice.

AWS · AWS Glue · Amazon S3 +1