Top Data Engineer Jobs in London

Design, build and optimise ETL/ELT pipelines and data foundations across enterprise systems. Profile, cleanse, map and reconcile data, implement quality frameworks, develop scalable data models on cloud platforms, and work with stakeholders to establish repeatable data architecture, governance and reporting for transformation programmes.

Lead the development and architecture of new data services and products around clinical insights, focusing on data analysis and reporting.

Define and build quality frameworks for human data programs, partner with clients and engineering to design evaluation, recruitment and annotation strategies, implement automated checks and dashboards, investigate data integrity, and upskill teams to deliver high-quality human data at scale.

Lead the data platform's technical strategy and architecture, design analytics/semantic/AI data layers, set modelling and reliability standards, drive observability and data quality, mentor senior engineers, and coordinate cross-team modernization and incident response.

Lead electrical design for hyperscale and colocation data centres, manage project delivery and multidisciplinary teams, produce designs across RIBA stages, undertake site supervision, client liaison, technical reports, cost estimating, and mentor junior engineers.

Lead hands-on delivery of production data platforms on Databricks or Snowflake, build reliable ingestion pipelines and data models, mentor junior engineers, integrate LLM/AI where appropriate, ensure production reliability and compliance, and support pre-sales technical sizing and proposals.

Design, build, and maintain large-scale data pipelines and distributed systems to ingest, process, and serve petabytes of vehicle data. Collaborate with ML and CV teams, mentor junior engineers, define long-term product strategy, and ensure robust, testable infrastructure using cloud and orchestration tools.

As a Software Engineer in Data and Lifecycle, you'll design and implement solutions for trade automations, maintain reference data, and collaborate with stakeholders.

Seeking a Software Engineer for the Data and Lifecycle team to automate trade processes, maintain reference data, and collaborate with stakeholders on derivatives.

As a Senior Data Engineer, you will design and develop large-scale data processing software, manage technical components, and mentor team members, while ensuring code quality and operational readiness.

Lead QA and test strategy for an AWS-native big data platform. Define automated test frameworks, validate large-scale data pipelines (PySpark/EMR), integrate tests into GitLab CI/CD, manage risk and reporting, mentor QA teams, and ensure data integrity across cloud data lake workflows.

The Data Centre Engineer will manage data centre operations including design, installation, and maintenance of equipment while ensuring data safety and accessibility.

Design, build and optimise scalable cloud-native data platforms and pipelines using Microsoft Fabric, Azure Databricks, Synapse and ADF. Implement ETL/ELT with PySpark and SQL, ensure data governance, performance, reliability, and collaborate with data scientists and engineers to deliver production solutions.

Collaborate with traders and researchers to design and build robust data systems for trading analysis in a fast-paced environment.

The Data Platform Engineer will scale and modernize the data lakehouse, build data products, write ETL processes, and support analytics across the business.

The Forward Deployed Data Solution Engineer works embedded within teams to ensure software quality, guide technical decisions, and design integration patterns, focusing on AI-enabled capabilities and data governance.

Design, build, and maintain scalable cloud-based data platform and ETL pipelines on Azure. Develop data models, ensure data quality, optimize performance, implement governance and security, and collaborate with stakeholders and data scientists to enable data-driven solutions.

Lead insider risk and data loss investigations from triage to closure, operate and tune DLP across environments, build detections and workflows, partner with HR/Legal/Compliance/IT, mature insider risk program, support audits, and mentor others.

Lead the development of backend services for government clients, focusing on high availability and scalability, while collaborating in agile teams and maintaining deployment pipelines.

As a Senior Data Engineer, you will manage complex data projects, lead small teams, and work with clients on data engineering solutions. Responsibilities include ETL development, data pipeline orchestration, and customer relationship management.