Data Engineering Jobs

Palantir Technologies · Laurel, United States · US$135,000 – US$200,000 pa

Forward Deployed Software Engineers embed with government customers to design and build end-to-end solutions, moving from ambiguous problem statements through system design, prototyping, application development and data integration. Work spans Palantir platforms, open source tooling and custom builds using Java, Python, TypeScript/React, Spark and AWS, with frequent on-site customer collaboration.

Searchability NS&D · Bristol · £40,000 – £50,000 pa

Hands-on engineering role building and maintaining Python-based applications, services and data solutions within a public sector consultancy. You will develop ETL/ELT pipelines, work with AWS, Azure or GCP, apply Git, testing and CI/CD practices, and support cloud infrastructure automation using Terraform/IaC, collaborating in Agile multidisciplinary teams with data specialists and client stakeholders.

Palantir Technologies · Kitsap, WA · US$135,000 – US$200,000 pa

Forward Deployed Software Engineers embed with government customers to scope and build data-driven solutions, often starting from open-ended operational questions. The role spans architecture discussions, large-scale data wrangling, custom web app coding and executive briefings, with end-to-end ownership in small, lightly supervised teams.

Harnham - Data and Analytics Recruitment · London · £50,000 – £55,000 pa

Build and maintain proprietary tools, API integrations and data pipelines that support marketing and analytics teams. Work across JavaScript, TypeScript, Node.js and GCP, with exposure to AI frameworks and automation workflows. Sits at the intersection of software engineering, data and digital marketing, collaborating closely with SEO, paid media and content teams.

Harnham - Data and Analytics Recruitment · London · £75,000 – £90,000 pa

Builds and optimises automated email journeys, remarketing campaigns and conversion tracking for a growing InsurTech business. Works hands-on with JavaScript/Node.js, SQL, BigQuery, Salesforce and AWS to create audiences, API integrations and reliable marketing automations, translating commercial requirements into technical solutions alongside marketing and engineering.

Tenth Revolution Group · Milton Keynes · £60,000 pa

Hands-on role building and evolving scalable data pipelines on a Microsoft-based platform, with responsibility spanning ETL, integrations, transformations and SQL database performance. Works closely with technology colleagues and wider business teams to turn requirements into reliable, scalable data solutions, with scope to shape how the data platform develops.

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.

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 · 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.

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.

Deerfoot Recruitment Solutions · Hertfordshire · £50,000 – £55,000 pa

Build a new Azure data platform from scratch for a UK group, working end to end from stakeholder requirements through data modelling to pipeline delivery. Develop metadata-driven pipelines in Python and PySpark across Synapse, Data Factory and PostgreSQL, support BI users and join an out-of-hours rota.

Matillion · Australia

Customer-embedded delivery role deploying and optimising the Maia Foundation platform for enterprise clients, architecting production-grade integrations and distributed data systems in Python, SQL and APIs. Involves modernising legacy ETL/ELT workflows across AWS/Azure/GCP and Kubernetes, integrating AI APIs, and delivering solutions within 8-12 week Accelerator windows while working directly with customer executives.

Noir · Newcastle upon Tyne · £45,000 – £80,000 pa

Builds and optimises high-quality data pipelines processing large volumes from internal and external sources, and helps maintain a central data platform supporting investment decision-making. Works closely with business stakeholders on how data is accessed, tested and leveraged, using SQL, Python, AWS, Git and Airflow. Requires direct hedge fund sector experience.

Intec Select · London · £80,000 – £90,000 pa

Analyse, design and implement enhancements to financial crime and surveillance platforms including transaction monitoring, sanctions screening and market surveillance. Hands-on Python, PowerShell, .NET and Power BI work, plus data engineering with Snowflake, SQL, MongoDB and Kafka, root cause analysis, audit support and ML model tuning within a bank's compliance technology team.

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.