Data Engineering Jobs

Harnham - Data and Analytics Recruitment · Newcastle upon Tyne · £84,000 pa

Own and oversee a business-critical enterprise data platform built on Microsoft Azure, acting as technical lead for architecture, scalability, governance and operational excellence. Work with Infrastructure, Security and Architecture teams on CI/CD, automation, monitoring and Infrastructure-as-Code, supporting production and incident management while enabling Data Engineers and shaping platform strategy across Data and AI initiatives.

Harnham - Data and Analytics Recruitment · London · £120,000 – £135,000 pa

Lead a newly formed Data Hub engineering function, owning delivery, technical direction and team development while consolidating fragmented legacy systems into a single governed platform. Combines strategic leadership with hands-on oversight across Snowflake, DBT, SQL and Python, managing distributed teams and establishing Agile, DevOps and reliability best practices.

Tenth Revolution Group · London · £60,000 – £90,000 pa

Builds cloud-native data platforms using medallion architecture and engineers batch and near real-time pipelines with Python, PySpark, Databricks and Snowflake. Integrates data from PAS, claims, broker and market feeds for underwriting, pricing, claims and reinsurance, while mentoring juniors and supporting CI/CD. Distinct for its London Market insurance domain focus and senior stakeholder exposure.

GCS · London · £600 – £850 pd

Hands-on contract role building and optimising enterprise-scale data pipelines with Python, Databricks, PySpark and SQL, including Delta Lake and Lakehouse architectures. You will design ETL/ELT solutions, tune distributed workloads, implement data quality controls and mentor junior engineers within an Agile banking data function.

Palantir Technologies · New York, United States · US$100,000 – US$145,000 pa

Builds and maintains data pipelines, reporting datasets and dashboards that support Recruiting and Hiring Operations, integrating systems such as Lever, Workday and Foundry. Works cross-functionally with recruiters, data, security and privacy partners, moving between pipeline work, integration debugging, documentation and stakeholder enablement.

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.

ClickHouse · United Kingdom

Owns the collection, storage and serving of metrics from customer ClickHouse instances, building and operating a petabyte-scale platform that handles trillions of records and millions of events per second. The stack is Golang, Kubernetes and ClickHouse, with work spanning billing data pipelines, customer dashboards, reliability, cost-efficiency and on-call, in a fully remote, globally distributed team.

Profectus Recruitment · London · £90,000 – £105,000 pa

Hands-on senior role designing, building and maintaining automated data pipelines while supporting an on-premise to cloud migration. You'll develop scalable Snowflake data models, optimise schemas, use Azure DevOps, Git and CI/CD, monitor production pipelines, and mentor colleagues in the Business Intelligence team. Involves architectural input, direct stakeholder engagement and contributing to AI and Automation initiatives.

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.

Microlise · Langley Mill · £55,000 pa

Join Microlise as a Senior AWS Data Engineer on a 12-month fixed term contract and help build the data foundations behind the next generation of customer-facing analytics and AI products.This is a hands-on engineering role in a major cloud data...

Corriculo · Birmingham · £35,000 – £45,000 pa

AI and Automation Engineer, Power Automate, Python, REST APIsAn AI and Automation Engineer opportunity has emerged with a well-regarded UK business, sitting within a collaborative Data and Analytics team and playing a central part in how the organisation harnesses technology...

Appcast Enterprise · Sunbury-on-Thames

Design, build and operate scalable cloud data platforms, pipelines and data products supporting Finance, with strong software engineering practices such as CI/CD, automated testing and observability. The role involves data modelling, governance, and technical leadership, mentoring engineers and working with product, architecture and analytics teams. Azure is preferred, with Databricks, Fabric or Snowflake also relevant.

Databricks · London

Join an engineering team to build features for a data and AI infrastructure platform, owning a project end-to-end from design through code and feedback. Work spans full stack, backend, infrastructure, systems, tools, cloud and databases, with a dedicated mentor and a 12-week summer cohort.

VolkerWessels · Ware

Lead the Data & Analytics strategy for a major civil engineering and construction group, building a high-performing team and modern cloud data ecosystem. Own data governance, MDM, and Power BI environments while acting as senior technical authority across Microsoft Fabric, Databricks, SQL, DAX and ETL pipelines. Distinct for combining strategic leadership with hands-on delivery to support future AI ambitions.

Atom Learning · London · £76,000 – £90,000 pa

Owns data modelling and pipelines powering customer-facing features like predicted grades and adaptive learning, working with BigQuery, dbt, Airflow and CockroachDB. As the go-to data specialist in a small cross-functional team, sets modelling standards, improves data quality and observability, and mentors other engineers.