Data Engineering Jobs

Palantir Technologies · Palo Alto, United States · US$145,000 – US$200,000 pa

Own end-to-end services for deploying and serving ML models across air-gapped, edge, and data-sovereign environments with constrained GPUs. Work full stack across inference engines, GPU scheduling, Kubernetes packaging, deployment pipelines, and observability, debugging issues in systems you cannot always access directly.

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 · 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.

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.

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.

Snowflake · London

Build revenue pipeline by setting and leading discovery calls, qualifying use cases with target personas, and performing account research to grow Snowflake's footprint in EMEA's largest accounts. Work closely with Global Account Managers, Solution Engineers and Marketing on a multi-channel pipeline strategy, attending sales meetings, trainings and local trade shows.

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.