Data Engineering Jobs

Palantir Technologies · London

Builds the lowest layers of Palantir's Foundry and Gotham platforms, spanning database technologies, distributed systems, large-scale data, security and application infrastructure. Work includes designing opinionated APIs, tracing performance in high-scale microservice architectures, and automating systems like Cassandra, Elasticsearch and Kafka.

Palantir Technologies · London

Builds the tools and interfaces within Palantir Foundry that let users create data-intensive applications, working with TypeScript, React and GraphQL. Involves architecting state management and access patterns, owning frontend APIs and schemas, and iterating with users and designers. May include a Frontline rotation embedded with customers.

Experis · Bristol · £550 – £650 pd

Designs, develops and supports data integration, warehousing and reporting solutions for a secure government programme. Works hands-on with Oracle, ETL, SQL/PL-SQL, data migration, cleansing and star/snowflake modelling, with IBM DataStage, Cognos and TM1 desirable. Occasional travel to Bristol.

CBSbutler Holdings Limited trading as CBSbutler · London · £70,000 – £80,000 pa

Hands-on engineering role building, maintaining and optimising data pipelines using KDB+/q and Python, working with large financial datasets and high-performance data solutions in a banking environment. Sits within a capital markets context, with banking or financial services experience considered an advantage.

Copello · Birmingham · £60,000 – £80,000 pa

Designs and maintains end-to-end data pipelines for large, complex datasets, transforming data into insights, analytical tools and dashboards. Works with software engineers, researchers and technical specialists on projects supporting national security infrastructure, with a focus on automation and process improvement in Linux-based environments.

Harnham - Data and Analytics Recruitment · London · £60,000 – £65,000 pa

Lead client-facing analytics engagements, translating business challenges into analytical solutions and presenting insights to technical and non-technical audiences. Work with large complex datasets, developing SQL-based solutions and scalable reporting frameworks, and building dashboards in Tableau, Looker or similar BI platforms. Collaborate with data, engineering and consulting teams while managing project timelines, risks and governance.

Opus Recruitment Solutions · Liverpool · £400 – £500 pd

Hands-on role migrating an established reporting estate into a modern Microsoft Fabric environment, covering data ingestion pipelines, data modelling and semantic layer design. You will also build Power BI reports, optimise SQL and ETL processes, and coach analysts and report developers on new tools and best practices.

Principal IT · Lincoln · £45,000 – £47,000 pa

Hands-on role designing and maintaining business-critical applications, SQL Server databases and reporting across a Microsoft stack. Day to day involves Power Platform and .NET development, Power BI dashboards with DAX, SSRS reports, ETL pipelines and system integrations, working with both technical teams and business stakeholders on transformation projects.

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.

Amazon · London

Design and build real-time middleware and runtime software connecting industrial control hardware to AWS cloud services, including data-exchange layers, type systems, and pub/sub or request/reply communication patterns. The role involves industrial protocol integrations (OPC-UA, Modbus, EtherCAT), edge-to-cloud telemetry with delivery guarantees, and engineering for bounded latency and real-time correctness on constrained hardware.

DCV Technologies · London · £500 – £550 pd

Build and support data pipelines on GCP using BigQuery, Dataflow, Composer/Airflow, Cloud Run and DBT, with SQL and Python/PySpark for engineering and automation. The role sits in a Mobile Frameworks Lab within a major UK bank, focused on understanding customer interactions, and includes production support covering incidents, change requests and problem management.

Michael Page · United Kingdom · £60,000 – £65,000 pa

Designs, builds and maintains scalable Azure data pipelines using Data Factory and Databricks, with SQL, data modelling and Python or Scala. Works with analytics teams to gather requirements, optimise performance, troubleshoot workflows and implement data security and governance. Two 12-month fixed-term roles supporting a not-for-profit's analytics projects.

Akkodis · London · £90,000 – £110,000 pa

Lead end-to-end SAP data migration strategy and delivery across S/4HANA transformation programmes, covering data governance, quality, cleansing, harmonisation and cutover planning. Oversee execution using SAP Migration Cockpit and ETL tools such as SAP Data Services, while mentoring global data teams and engaging senior stakeholders. Also contributes to business development within a growing Big 4 SAP practice.

TXP · London · £450 – £500 pd

Designs and implements a data migration and integration approach between an Azure SQL source system and Salesforce. Requires strong Azure SQL, Python, ETL, Salesforce REST API and batch (CSV) processing skills, with immediate availability for a short-notice start. The contract runs in three-month phases, with one to two days per week in London.

Tenth Revolution Group · London · £50,000 – £60,000 pa

Builds and evolves a modern cloud-based data platform, designing scalable Snowflake pipelines and ETL/ELT processes in SQL and Python. Creates data models supporting reporting, analytics and emerging AI use cases, while optimising workloads for performance and cost. Works in a collaborative engineering team with AWS, Azure or GCP, integrating data from multiple source systems.