Data Engineering Jobs

Harnham - Data and Analytics Recruitment · London · £180,000 pa

Lead a unified enterprise data, technology, architecture and AI function, bringing together Data & Analytics, Engineering, IT, Salesforce and Architecture teams under a single vision. Own enterprise architecture standards, data governance and analytics capabilities while driving AI adoption and a 360-degree customer view. The role balances quick wins with long-term strategy, including build-versus-buy decisions and technology roadmaps.

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.

Palantir Technologies · Washington, United States · US$135,000 – US$200,000 pa

Forward Deployed Software Engineers embed directly with federal health and civilian agency customers, rapidly diagnosing hard problems and building end-to-end solutions. Work spans whiteboarding architecture, data pipelines, operational workflows, AI agent deployment, and advising executives, often within small high-ownership teams. Technologies include Python, Java, TypeScript/React, Spark, and AWS.

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.

Corriculo · London · £70,000 – £80,000 pa

Owns a broad analytics remit across data warehouse development, pipeline reliability, BI and customer insight. Builds transformation models, defines company metrics, creates dashboards, monitors data quality and partners with Sales, Marketing and Operations. Works with SQL, Python, Snowflake, dbt and Tableau in a growing healthtech team.

CBSbutler Holdings Limited trading as CBSbutler · Telford · £400 – £460 pd

Support live data platforms and improve service monitoring across a complex technical environment, working with Denodo, Talend, PDI, Git, MySQL and Amazon Redshift. Build and consolidate Grafana dashboards into a unified Live Service view with drill-down, implement alerting for legacy services, and gather requirements from service stakeholders to boost visibility and operational resilience.

Catalyst · Newcastle upon Tyne · £60,000 – £100,000 pa

Design and build scalable data pipelines and full-stack data products, integrating data from diverse sources into cloud platforms while ensuring data quality and reliability. Develop production-grade applications and APIs using modern DevOps practices, collaborating across teams to enhance data accessibility and drive innovation with cloud-native solutions. Work within a high-performing engineering team to support analytics and AI-driven systems using distributed computing and infrastructure-as-code.

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.

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.

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.

TRIA · London

Data ArchitectCompetitive Salary + 20% Bonus + Car AllowanceCentral London - Hybrid, 3 days per week in the office35-hour Working Week - Flexible HoursWe are representing a large European transport business, employing around 35,000 people across the UK and Europe,...

Lynx Recruitment · London

Data Engineer (Permanent)Salary: Up to£65,000Location: London Victoria (1 day per week onsite, rest remote)The Role We are seeking a skilledData Engineer to join a growing team delivering modern, scalable data solutions. This is a permanent opportunity offering a hybrid model,...

Gleeson Recruitment Group · Coventry · £38,000 – £42,500 pa

Build and maintain ETL/data pipelines, improve data quality and deliver reliable reporting and insights for a retail business investing in its data function. Work with Python, SQL and Excel, with data modelling and database design, in a collaborative team. Azure, Power BI and Git/Azure DevOps are nice to have.

Jackson Hogg · Sunderland · £55,000 – £65,000 pa

Builds and maintains ETL/ELT pipelines, integrating data from multiple systems and external providers into an Azure-based data estate. Develops scalable data models and improves monitoring, testing and platform performance while supporting data quality and governance. Works with data engineers, BI specialists and business stakeholders to deliver trusted reporting datasets.

Network IT · United Kingdom · £700 – £750 pd

Lead the design and implementation of data flows connecting operational systems, analytics and BI platforms, plus data streaming systems and database management. The role involves building and testing complex or large-scale data products, selecting technologies for resilient, scalable solutions, and designing metadata repositories. It also covers troubleshooting databases and data processes, and facilitating discussions across technical and non-technical stakeholders.