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.

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 · £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.

Harnham - Data and Analytics Recruitment · Leeds · £55,000 – £60,000 pa

Builds and maintains data pipelines and scalable models in Snowflake, using dbt, Fivetran and Power BI to support customer and commercial analytics. Works closely with analytics teams and business stakeholders to deliver trusted, accessible data and workflow automation within a growing data function.

Tenth Revolution Group · West Midlands (Region) · £45,000 pa

Maintains and develops data pipelines and models that support business-critical reporting, ensuring data is accurate, documented and accessible. Works in a small cross-functional team reporting to the Head of IT, partnering with sales, marketing and operations on data questions and quality standards. Uses SQL, Git, dbt, Python and cloud data warehouses.

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.

Profile 29 · London · £50,000 – £70,000 pa

Design, build and operate resilient AWS cloud infrastructure for public-sector casework and AI orchestration platforms, working across platform and delivery teams. The role spans Terraform and Kubernetes, CI/CD pipelines, Kafka event-driven systems, IdAM with Keycloak, and observability stacks, with a strong DevSecOps and automation focus plus incident response duties.

Reed · Edinburgh · £70,000 – £83,500 pa

Lead the creation of an enterprise data architecture practice from scratch, assessing a fragmented data landscape and building a scalable roadmap, models and governance standards. Hands-on role in the Microsoft ecosystem (Azure, Microsoft Fabric), designing pipelines and proof-of-concepts while guiding data engineers and analysts. Works with business and technical stakeholders in a regulated public sector setting.

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.

Wesleyan · Birmingham · £49,800 – £72,000 pa

Lead project data architect role within a four-person data architecture team, ensuring centre-of-excellence objectives run through projects across all business units. Involves designing data architecture, modelling and master data solutions, enabling integration via APIs, GraphQL, JSON and XML, and building cloud-based platforms with Azure, SQL, Python and Databricks.

Matillion · United Kingdom · £66,800 – £83,500 pa

Full-cycle enterprise sales role selling an AI data automation platform into large organisations across a defined territory. Day to day involves outbound prospecting, validating inbound leads, converting trials, running discovery calls, demos and POCs, and applying MEDDPICC to manage opportunities. Also builds ecosystem relationships with CDP, SI and ISV partners and works closely with SDRs, marketing and solution architects.

Noir · Manchester · £60,000 – £80,000 pa

Design, build and maintain robust data pipelines and ETL processes on AWS, using Glue, Lambda, S3, Redshift and EMR alongside Python, SQL, PySpark and pipeline orchestration. The role involves real-time data solutions, cloud migration, architectural input, data quality and mentoring junior engineers within a global technology brand's data team.

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.

Interface Recruitment · Leeds

Lead the design, build and optimisation of scalable data pipelines and platforms supporting analytics, reporting, AI and machine learning in a regulated asset management environment. Sets data engineering standards, mentors engineers, and ensures solutions meet security, governance, quality and resilience requirements while partnering with risk, technology and business teams.