Data Engineering Jobs

Palantir Technologies · London

Builds, operates and maintains high-performance, scalable services across Palantir platforms and government deployments, handling monitoring, configuration management, upgrades and migrations. Combines software development with production ownership, automating manual workflows and troubleshooting complex distributed systems, including an on-call support rotation.

Palantir Technologies · Norfolk, United States · 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.

Prize Placements · Watford · £65,000 – £70,000 pa

Hands-on backend data engineering role owning ELT/ETL pipelines that ingest from REST APIs, databases and flat files into Snowflake. You'll build Python ingestion and automation scripts, configure Fivetran or Meltano/Singer connectors, optimise advanced SQL, and implement monitoring, alerting and data quality checks, with scope to shape a possible move toward Azure/Microsoft Fabric.

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.

TRIA · London · £70,000 – £78,000 pa

Lead data specialist owning the organisation's Snowflake platform, designing and optimising ETL/ELT pipelines and integrations across multiple business systems. Defines data architecture, governance and security standards while shaping the long-term data roadmap with senior technology leadership. A hands-on role building a modern data capability in-house, with mentoring responsibilities but no large existing team.

WeDoTech · London · £800 – £1,000 pd

A hands-on Staff-level role leading a major data estate modernisation for a UK financial services organisation, migrating large-scale pipelines and building new data products. You will shape architecture and engineering patterns while remaining deeply involved in Python, PySpark, Spark, AWS Glue and Airflow, and champion AI-assisted development across multiple teams.

Matillion · San Francisco, United States · US$107,500 – US$150,000 pa

Owns the full enterprise sales cycle for an AI data automation platform, from self-sourced pipeline through six-figure closes. Partners with SDRs, marketing and channel allies on territory strategy, and works cross-functionally with product and solution architecture. Quota-carrying role using MEDDIC or value-selling methods on large enterprise contracts.

Matillion · Manchester

Lead technical architecture and design for the Maia AI team, building agentic AI systems, tools and integrations while using evals to validate performance as models evolve. Mentor engineers, shape strategy with the Product Manager and Data Science team, and work with Java, AWS distributed systems and optionally React, TypeScript and Langchain/Langgraph.

Head Resourcing · Falkirk · £60,000 – £70,000 pa

Leads data modelling, transformation and governance to turn data into trusted insights for operational and commercial decisions. Builds scalable data solutions using SQL, dbt, Power BI semantic models and a modern cloud platform such as Databricks, while managing stakeholder and vendor relationships to support a five-year data plan.

Picture More · London · £100,000 – £120,000 pa

Design-led architecture role owning target-state integration and data flows across legal platforms such as Elite 3E Cloud and Intapp Cloud, plus the Microsoft and Azure estate. You design interfaces, APIs and reconciliation patterns, assure delivery by internal and third-party teams, and present designs to the business, advising on AI and legal technology standards.

Syntax Consultancy · Leeds · £500 – £550 pd

Hands-on Data Engineer to run and maintain production data pipelines on Databricks and AWS, combining L2/L3 production support with engineering work. Involves incident investigation, root cause analysis, permanent remediation, and performance troubleshooting across Spark SQL, Delta Lake, Parquet and Hive metastore tables. Works on a large-scale Government project within a hybrid model, mostly remote with occasional Leeds office travel.

Syntax Consultancy · Leeds · £60,000 – £65,000 pa

Hands-on Data Engineer maintaining production data pipelines on Databricks and AWS, combining L2/L3 production support with engineering work. Responsibilities include incident investigation, root cause analysis, remediation, and performance troubleshooting across Spark, Delta Lake, and AWS services. Part of a large-scale Government project, working primarily from home with occasional Leeds office travel.

R3vamp · Milton Keynes · £65,000 – £75,000 pa

You'll lead the Data & MI team and own the organisation's Business Intelligence capability, driving the migration from legacy Cognos reporting to a modern Microsoft Azure environment. The role combines hands-on work with Power BI, Azure Data Lake, Databricks and SQL with data governance, mentoring and translating business requirements into insight for Finance and senior stakeholders.

Ashdown Group · London · £120,000 – £150,000 pa

Owns the enterprise data architecture, engineering strategy and cloud data platform, setting the technical roadmap and leading a data engineering function. Drives DataOps, CI/CD, observability and governance while building foundations for AI/ML, vector search and advanced analytics, partnering with Product, Data Science and senior leadership.

eFinancialCareers · London

Business-facing product role owning the roadmap, requirements and priorities for a portfolio of investment data products, acting as the link between business stakeholders and data engineering, analytics and AI teams. Involves demand intake, defining data contracts and quality rules, prioritising backlogs, and driving adoption of trusted, reusable and AI-ready data products across Asset Management.