Data Engineering Jobs

Palantir Technologies · Palo Alto, United States · US$145,000 – US$200,000 pa

Own end-to-end services for deploying and serving ML models across air-gapped, edge, and data-sovereign environments with constrained GPUs. Work full stack across inference engines, GPU scheduling, Kubernetes packaging, deployment pipelines, and observability, debugging issues in systems you cannot always access directly.

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.

Picture More · London · £100,000 – £120,000 pa

Design-led architecture role owning target-state integration and data flows across legal platforms such as Elite 3E Cloud and Intapp Cloud, plus the Microsoft and Azure estate. You design interfaces, APIs and reconciliation patterns, assure delivery by internal and third-party teams, and present designs to the business, advising on AI and legal technology standards.

Syntax Consultancy · Derby · £40,000 pa

Builds and establishes modern data engineering solutions on Microsoft Fabric, working hands-on with OneLake, Lakehouses, Warehouses, Data Pipelines, Dataflows, Notebooks and Eventstreams. Uses SQL, T-SQL, Spark SQL, PySpark and Python for ingestion, transformation, modelling and converting source data into validated Delta tables, plus Power BI for semantic models. Integrates third-party APIs and migrates legacy data platforms, joining an established team with hybrid working.

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.

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 · London · £90,000 – £110,000 pa

Defines and evolves the architecture of a modern cloud-based data platform, providing technical leadership across data platform and engineering teams. Designs scalable, secure data solutions and champions DataOps practices including CI/CD, testing, monitoring and automation, while guiding ETL/ELT implementation and AI-enablement initiatives.

Harnham - Data and Analytics Recruitment · Newcastle upon Tyne · £75,000 – £84,000 pa

Hands-on role supporting, improving and scaling an enterprise Azure-based data platform, ensuring it stays reliable, secure, observable and production-ready. Day to day involves Microsoft Fabric, Azure Databricks, CI/CD, Terraform, monitoring and incident resolution, working closely with Architecture, Security and Infrastructure teams.

Tenth Revolution Group · Reading · £60,000 pa

Hands-on role building and evolving scalable data pipelines on a Microsoft-based platform, using Databricks, SQL, Python and PySpark. Covers ETL, data integration, transformations, data warehousing and SQL performance, working with technology and business teams to turn requirements into reliable data solutions.

Gleeson Recruitment Group · Coventry · £38,000 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.

Tenth Revolution Group · London · £90,000 – £120,000 pa

Lead the strategy, design and evolution of a large-scale cloud data and integration ecosystem, owning enterprise-wide platform architecture, standards and best practices. Drive modernisation roadmaps across data, integration and platform engineering, designing event-driven and streaming architectures while shaping CI/CD, automation and infrastructure-as-code strategies. Work with senior stakeholders across Azure, AWS or GCP, Snowflake and Kubernetes.

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.

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.