Data Engineering Jobs

Palantir Technologies · New York, United States · US$10,000 pm

Forward Deployed Software Engineers embed directly with customers, from factory floors to board rooms, to understand their hardest problems and build data-driven solutions. The role involves architecting custom applications, wrangling massive-scale data, and applying AI to critical operations, with up to 25% travel to client sites.

Palantir Technologies · London

Works deep inside the data processing infrastructure behind Palantir Foundry, on how computations are represented, query plans optimised, operators executed, and data read and written efficiently. Builds on and extends Apache Spark, DataFusion and Iceberg, taking on production problems such as writing planning rules or speeding up large table scans through design, code review, testing and release.

Harnham - Data and Analytics Recruitment · London · £90,000 – £110,000 pa

Defines and evolves the architecture of a modern cloud-based data platform, providing technical leadership across data platform and engineering teams. Designs scalable, secure data solutions and champions DataOps practices including CI/CD, testing, monitoring and automation, while guiding ETL/ELT implementation and AI-enablement initiatives.

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.

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

Hands-on role building and maintaining scalable data pipelines on Databricks, integrating new sources and optimising ETL and transformation processes. You will develop SQL and Python/PySpark transformations, tune queries, stored procedures and database objects, and help mature a modern Microsoft data platform within a Data & Innovation team, contributing to CI/CD and Git practices.

VIQU IT Recruitment · London · £100,000 – £110,000 pa

Lead large-scale data transformation programmes for an insurance organisation, owning the roadmap from planning through delivery and supporting adoption of an Enterprise Data Platform. Work across business, IT and data teams to define requirements, track value from data and AI initiatives, and manage risks, budgets and governance. Hybrid role with three days per week in a London office.

ClickHouse · United Kingdom

Owns reliability, availability and scalability of ClickHouse Cloud, building SLOs/SLAs, monitoring and alerting across data plane, control plane and core. Leads incident response, blameless post-mortems and chaos engineering, and develops Go/Python tooling to improve operational efficiency. Works across engineering, security, support and operations teams, with on-call responsibilities.

Gleeson Recruitment Group · Coventry · £38,000 pa

Build and maintain ETL/data pipelines, improve data quality and deliver reliable reporting and insights for a retail business investing in its data function. Work with Python, SQL and Excel, with data modelling and database design, in a collaborative team. Azure, Power BI and Git/Azure DevOps are nice to have.

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.

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.

TEKsystems · London · £300 – £370 pd

Documents and redesigns a complex, high-volume transactional platform for a large payments company, producing conceptual, logical and physical data models and defining data standards. Works closely with developers and engineers to implement OLTP and system-of-record database architecture, with a focus on relational technologies such as PostgreSQL, Oracle or SQL Server.

Noir · Manchester · £60,000 – £75,000 pa

Design and implement robust data pipelines and configure Quantexa components while leading the technical development of Quantexa-based solutions for established clients. Work with Spark, Scala and Python Databricks, with exposure to DevOps and CI/CD tooling such as Jenkins, GitHub Actions, Azure DevOps, Docker and Kubernetes. Hybrid role in Manchester supporting client data engineering and integration engagements.

Noir · Birmingham · £60,000 – £75,000 pa

Design and implement robust data pipelines and configure Quantexa components while leading the technical development of Quantexa-based solutions for established clients. Work with Spark, Scala and Python Databricks, with exposure to DevOps and CI/CD tooling such as Jenkins, GitHub Actions, Azure DevOps, Docker and Kubernetes. Hybrid role in Birmingham supporting client data engineering and integration engagements.

Data Idols · London · £500 – £650 pd

Design, develop and optimise scalable data pipelines and cloud-based data warehousing solutions, improving platform performance, reliability and scalability. Work with Data and Analytics Engineers on ETL/ELT processes, data architecture and reusable data solutions, with GCP and BigQuery highly desirable alongside Python and SQL.