Data Engineering Jobs

WeDoTech · London · £800 – £1,000 pd

A hands-on Staff-level role leading a major data estate modernisation for a UK financial services organisation, migrating large-scale pipelines and building new data products. You will shape architecture and engineering patterns while remaining deeply involved in Python, PySpark, Spark, AWS Glue and Airflow, and champion AI-assisted development across multiple teams.

Tenth Revolution Group · Cambridge · £90,000 – £110,000 pa

Hands-on senior role designing and building scalable data platforms, ETL/ELT pipelines and Data-as-a-Service capabilities that power analytics, machine learning and AI products for enterprise clients. Involves setting standards for data quality, governance, lineage and observability, plus secure data services and APIs, with scope to build and lead a wider data function.

Tenth Revolution Group · Newcastle upon Tyne · £90,000 – £110,000 pa

Hands-on senior role designing and building scalable data platforms and ETL/ELT pipelines that power analytics, machine learning and AI products for enterprise clients. Involves data modelling, orchestration, secure data services and APIs, plus governance, lineage and observability, with scope to build and lead a wider data function.

Head Resourcing · Falkirk · £60,000 – £70,000 pa

Leads data modelling, transformation and governance to turn data into trusted insights for operational and commercial decisions. Builds scalable data solutions using SQL, dbt, Power BI semantic models and a modern cloud platform such as Databricks, while managing stakeholder and vendor relationships to support a five-year data plan.

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.

hireful · Bristol · £80,000 – £90,000 pa

Owns the design and build of scalable data pipelines and data products on Databricks using PySpark, Spark SQL and Delta Lake, plus ETL/ELT optimisation and enterprise data architecture. Works with Finance, Product, Sales, Marketing and Engineering stakeholders to enable trusted self-service data, and mentors a junior engineer in a small, high-impact team.

Palantir Technologies · London · US$10,500 pm

Works deep inside the data processing infrastructure behind Foundry, covering query plan optimisation, execution operators, and efficient data reads and writes. Extends open-source engines and table formats such as Apache Spark, DataFusion, and Iceberg, with work spanning design, code review, testing, and release. An internship aimed at students graduating in 2028.

Nurseplus · Nottingham

Own the cloud data environment, pipelines and architecture, working with a Lead Technology Architect to build scalable storage, automated ETL/ELT integrations and layered data models. Also covers database performance tuning, data governance, security, BI semantic models and API development, with a remote-first pattern and occasional on-site collaboration.

Rise Technical Recruitment · London · £35,000 – £50,000 pa

Hands-on role developing and maintaining software with Python, Go and TypeScript, processing and validating live and historical sports datasets, and supporting AWS cloud infrastructure and production systems. Works closely with experienced engineers on SQL databases, troubleshooting and technical projects within the sports and betting sector.

Real · Berkshire · £500 pd

Hands-on Data Engineer to design and build pipelines and data models on a greenfield Microsoft Fabric platform, supporting the end-to-end implementation of a new enterprise data environment. Involves shaping architecture, integration processes and best practice while working closely with business and technical stakeholders.

Matchtech · Surrey · £50,000 – £75,000 pa

Design, build and run scalable batch and streaming data pipelines and data models that turn complex sensor and geospatial sources into reliable datasets for analytics and machine learning. Work across Azure plus edge and on-prem deployments with data scientists, analysts and platform engineers in a Kanban team, supporting embeddings and LLM-enabled conversational analytics.

Harnham - Data and Analytics Recruitment · Hounslow · £100,000 – £110,000 pa

Lead enterprise-scale data engineering initiatives, combining hands-on technical leadership with mentoring Data and Senior Data Engineers. Drive design, build and operation of secure, scalable data pipelines and products, define engineering standards and automated testing, and improve platform reliability, observability and cost efficiency. Includes participation in an on-call rota supporting business-critical data products.

Harnham - Data and Analytics Recruitment · London · £110,000 pa

Lead technical direction across a modern cloud data platform built on AWS, Snowflake and dbt, staying hands-on while unblocking engineers on complex issues. Combines mentoring a team of engineers with influencing senior stakeholders and shaping engineering standards in a federated data model.

Circle Recruitment · Dudley · £65,000 – £85,000 pa

Technical owner of a Microsoft Fabric data platform, building and maintaining data pipelines, ETL/ELT processes and integrations from APIs, flat files and ERP systems. Works with Finance, Commercial and BI teams to shape data architecture during a major Fabric migration, with Databricks, Azure data lakes and warehousing in the stack.

ISR Recruitment · United Kingdom · £475 – £525 pd

Hands-on engineering and architecture role designing and building an open-source, cloud-agnostic data transformation layer for a national data exchange platform. Day to day involves building Apache NiFi flows, developing RDF/SPARQL pipelines and supporting components in Python and Java, plus automated testing, monitoring and secure integrations. Distinct for combining reusable pipeline architecture with semantic data modelling for a central government client.