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.

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.

Palantir Technologies · New York, United States · US$10,500 pm

Works deep inside the data processing infrastructure behind Palantir Foundry, covering query plan optimization, operator execution, and efficient data reads and writes. Extends open-source engines and table formats such as Apache Spark, DataFusion, and Iceberg, shipping changes through design, code review, testing, and release. An internship for candidates graduating in 2028.

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.

Deerfoot Recruitment Solutions · United Kingdom · £90,000 – £115,000 pa

Designs and delivers secure, scalable cloud-native data platforms across AWS, Azure and GCP for enterprise clients, leading migrations to Snowflake, Databricks, BigQuery, Synapse and Redshift. Builds PoCs and MVPs for AI and advanced analytics, automates infrastructure with Terraform and CI/CD, and advises senior stakeholders on data strategy, Data Mesh and Data Fabric architecture.

Matillion · Hyderabad, India

You'll work in a small cross-functional team writing, testing and releasing new features and fixing problems across Matillion's data automation products, from design through CI/CD deployment to ongoing production support. The stack spans Java, Spring microservices, React, GraphQL, Docker, Kubernetes and AWS, with code reviews, research projects and mentoring built into the role.

Tenth Revolution Group · London · £70,000 – £85,000 pa

Builds and maintains scalable data pipelines in Databricks, developing batch and streaming workflows and designing Lakehouse architectures with medallion models. Works alongside data scientists, analysts and product teams in a cloud-first Azure environment, implementing data quality, governance and observability frameworks while driving engineering best practice through code reviews.

Tenth Revolution Group · London · £70,000 – £80,000 pa

Leads analytics workstreams within enterprise data and transformation programmes, managing teams of Data Analysts, Analytics Engineers and Data Engineers. Defines delivery, governance and quality standards, partners with senior stakeholders, and contributes to bids and pre-sales. Requires strong SQL and Python plus Fabric, Databricks or Snowflake experience.

Adria Solutions · Manchester · £70,000 – £90,000 pa

Hands-on lead role owning an existing data estate and building a modern, scalable platform supporting BI, Data Science and Applied AI. Involves modernising SQL Server, SSIS and Power BI, developing batch and real-time processing, lakehouse architecture on AWS, and line-managing a small team of Data Engineers.

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.