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.

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.

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.

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.

Tenth Revolution Group · London · £90,000 – £120,000 pa

Lead the strategy, design and evolution of a large-scale cloud data and integration ecosystem, owning enterprise-wide platform architecture, standards and best practices. Drive modernisation roadmaps across data, integration and platform engineering, designing event-driven and streaming architectures while shaping CI/CD, automation and infrastructure-as-code strategies. Work with senior stakeholders across Azure, AWS or GCP, Snowflake and Kubernetes.

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.

Fuel Recruitment · Farnborough · £550 – £600 pd

Build and optimise cloud-based data integration and analytics solutions for a defence-sector client, focusing on scalable ETL pipelines, data lakes and processing frameworks in AWS. Day-to-day work centres on AWS Glue jobs using PySpark and Python, Glue Data Catalog, crawlers, workflows and triggers, plus S3 data lake management and IAM security. Three roles, outside IR35, with three days a week onsite.

Bright Purple · Edinburgh · £500 – £550 pd

Defines and governs the end-to-end data architecture for a major COINS ERP transformation, owning complex data migration, mapping, cleansing and reconciliation. Establishes master data, stewardship, lineage and data quality controls, and assures vendor data models and migration designs through rehearsals, cutover and deployment.

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.

eFinancialCareers · London

Acts as Product Owner and Business Analyst within a value stream, translating complex fixed income requirements into epics, features and user stories while owning the team backlog in Azure DevOps. Bridges business and technology across Index Management, R&D, Operations and Technology, ensuring asset-specific needs become reusable data services rather than bespoke silos, with UAT and agile ceremony support.

Pontoon · Chester

Hands-on engineering role building and maintaining scalable data platforms for compliance assurance in a regulated enterprise. Owns the end-to-end data lifecycle, from ingesting source systems through streaming, processing and storage to automated reconciliation and data-quality controls. Developer-led, with Python, PySpark, Kafka and NiFi at its core.

Lorien · London

Owns data products end to end, from discovery and prototyping through launch and adoption, working with stakeholders to turn ambiguous business problems into measurable product objectives. Builds working proofs of concept using SQL, Python, Databricks, Power BI, AI tooling and low-code platforms, then partners with data engineers and architects to industrialise them. Requires commercial insurance or broking domain experience and familiarity with data mesh, data contracts and governance.