Data Engineering Jobs

Harnham - Data and Analytics Recruitment · London · £80,000 – £100,000 pa

Builds internal AI agents, tools and prototypes within a small central technical team, turning complex group data into usable products. Work spans Python, TypeScript and SQL, modernising legacy systems, wrapping them in scalable APIs and generating tests and migration tooling. High autonomy with weekly demonstrable output.

Harnham - Data and Analytics Recruitment · London · £60,000 – £65,000 pa

Own enterprise and project-level data architecture for a UK health-sector regulator, driving data modelling, governance and lineage across a Microsoft stack including Azure, Fabric and D365. Work with engineering, governance and business teams to deliver scalable data solutions and champion best practice.

Tenth Revolution Group · Berkshire · £55,000 – £61,000 pa

Hands-on role modernising a legacy reporting environment and shaping a cloud-native analytics platform, with ownership of critical reporting platforms and business-facing data products. Requires production experience with Azure Databricks and the wider Azure stack, plus strong stakeholder management within business and technology transformation programmes.

Palantir Technologies · Washington, United States · US$10,000 pm

Interns deploy and operate Palantir software across production environments, handling monitoring, alerting, configuration management and upgrades. They debug distributed systems, automate manual runbooks and build infrastructure solutions using Foundry and Apollo, working in small teams with real ownership.

Palantir Technologies · Palo Alto, United States · US$10,000 pa

Interns deploy and operate Palantir software across real production environments, handling monitoring, alerting, configuration management and upgrades. They debug distributed systems issues, automate manual runbooks and build infrastructure solutions using Foundry and Apollo, working in small teams with significant ownership.

Circle Recruitment · Dudley · £65,000 – £85,000 pa

Technical owner of a Microsoft Fabric data platform, building and maintaining data lakes, pipelines and ETL/ELT processes from APIs, flat files and ERP systems. Works with Finance, Commercial and BI teams to deliver scalable reporting while bringing data engineering knowledge in-house during a major Fabric migration.

eFinancialCareers · London · £45,000 – £70,000 pa

Design, build and maintain scalable data pipelines and cloud-based data platforms on AWS, working with data architects, scientists and analysts to turn complex data into reliable, accessible information. Combines hands-on engineering with technical leadership, shaping data solutions and guiding delivery across national security, government and public-sector environments.

Avanti Recruitment · Manchester · £60,000 – £100,000 pa

End-to-end data architecture role owning the full data lifecycle, from ingestion to consumption, across secure client environments. Involves designing lakehouse and medallion architectures, defining batch and streaming pipelines, and making decisions on storage, orchestration, governance and security. Cloud-agnostic, working with AWS, Azure or GCP alongside Databricks, Snowflake, Spark and Kafka.

Opus Recruitment Solutions · London · £500 – £525 pd

Hands-on contract role migrating a large legacy ETL estate of several thousand Ab Initio batch jobs to a serverless AWS data platform. You'll define migration patterns, convert Ab Initio transformations into scalable PySpark, and deliver production-ready AWS Glue solutions, with heavy Spark performance tuning across S3, Athena and serverless pipelines in a financial services cloud transformation programme.

Robert Walters · Nottingham · £50,000 – £60,000 pa

Builds and maintains data pipelines, ETL processes and structured data warehouses, integrating information from multiple sources and running strict data quality checks. Works with SQL, Python, Databricks, Azure Data Factory, Logic Apps and Synapse Analytics in a hybrid Nottingham team.

eFinancialCareers · Belfast

Day-to-day you will run and modernise a hybrid database estate spanning Oracle, MongoDB, IBM Object Store and Snowflake across bare-metal, OpenShift and cloud VMs. The role centres on zero-downtime migrations to AWS, GCP and Snowflake, plus building AI/agentic automation, Terraform and Ansible IaC, and HA/DR frameworks for Citi's global finance platform.

Tenth Revolution Group · London · £50,000 – £60,000 pa

Builds and leads production-grade Snowflake solutions in cloud environments, working hands-on with Snowpark, Snowpipe, Streams, Tasks and Dynamic Tables. The role sits in a consulting transformation practice, combining strong SQL and Python engineering with CI/CD, Terraform, automated testing and data observability, plus stakeholder engagement to deliver governed, AI-ready data.

Cedar · London · £65,000 – £70,000 pa

Hands-on role acting as OneStream SME, supporting system development, optimisation and governance, and contributing to implementation projects from a Finance perspective. Works across OneStream, NetSuite, Databricks, Navan and Power BI, covering consolidation, reporting, planning, data mapping, reconciliation and master data. Suits a qualified accountant combining Finance, Systems, Data and Transformation in a PE-backed business.

Akkodis · Stevenage

Design and deliver end-to-end data engineering solutions, building scalable ETL/ELT and streaming pipelines and optimising warehouses, lakehouses and reporting. Create Power BI dashboards and drive data governance, quality and DataOps automation with CI/CD and containerised deployments, partnering with engineering, manufacturing and supply chain stakeholders.

Datatech · Berkshire · £55,000 – £67,000 pa

Owns the end-to-end data journey for a financial services business, building Azure Databricks pipelines with PySpark, SQL, ADF and ADLS Gen2, and governed lakehouse solutions using Delta Lake, medallion architecture and Unity Catalog. Also owns Power BI semantic models, DAX measures and row-level security, translating marketing and contact-centre requirements into trusted metrics while mentoring colleagues and improving engineering standards.