Top Data Engineer Jobs in London

As a Senior Data Platform Engineer at Depop, you'll architect and build data platforms, working with various teams to enhance data capabilities, support complex business problems, and promote self-service tools while ensuring operational excellence and effective stakeholder collaboration.

The Senior Data Engineer will design and build data pipelines on GCP, ensuring high data quality and reliability for analytics and ML products. Responsibilities include mastering ETL processes, managing workflows with Airflow, and collaborating closely with ML engineers.

The role involves designing and implementing the Trading Data platform, focusing on the capture of order data and ensuring high availability and performance. Responsibilities include collaborating with teams to create scalable solutions, supporting the system, and owning project design and development.

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.

Build end-to-end testing, evaluation, and feedback systems for a global GenAI assistant. Design data pipelines, APIs, and dashboards; own features from design to production; ensure safety, compliance, and quality; provide technical leadership and mentor peers.

Contribute to the Data Engineering team by building data models, optimising the Data Warehouse, and improving data quality while applying best practices.

Seeking a Software Engineer for Regulatory Reporting to build backend systems ensuring compliance. Responsibilities include system design, data integration, and audit support.

The role involves building and scaling data infrastructure for multimodal AI systems, developing high-throughput data pipelines, and collaborating with ML researchers and product teams to enhance data systems.

As a Data Engineer at Starling, you will build cloud-native data warehouses and ML platforms, improving tooling within AWS and GCP.

The Senior Data Engineer will develop scalable data solutions, build data pipelines, optimize performance for data lakes, and ensure data quality.

Design and maintain data pipelines, collaborate with stakeholders, ensure data quality, deploy infrastructure as code, and optimize reporting solutions.

As a Senior Mechanical Engineer for Data Centres, you will design and manage mechanical systems while collaborating across disciplines to deliver innovative engineering solutions that ensure client satisfaction.

The Principal Engineer will lead the development of a payroll data lifecycle, including calculations, data ingestion, integration, and reporting, ensuring accuracy and compliance across global jurisdictions.

Own and scale the ingestion pipeline and backend abstractions for high-throughput AI tracing data. Optimize ClickHouse schemas and queries, operate Langfuse Cloud and self-hosted deployments, and build infrastructure-heavy features that enable product engineers to ship data-heavy capabilities.

Lead adoption of SRE practices firm-wide, implement and maintain observability tooling, automate operations, manage incident response and on-call rotations, provide performance insights and instrumentation, drive reliability standards, and collaborate on postmortems and continuous improvement.

As a Principal Engineer, you'll lead the design and development of high-performance data systems, mentor engineers, tackle complex challenges, and ensure operational resilience in a dynamic environment.

The Senior Data Engineer will develop and maintain data architectures in Snowflake, optimize data pipelines, uphold data quality standards, and manage multiple projects while ensuring data integrity and performance.

The Lead Data Engineer designs and oversees the development of data platforms, mentors team members, and ensures the delivery of high-performance, scalable data solutions.

The Senior Data Analytics Engineer will develop automated reporting solutions, analyze data across business functions, and enhance data quality. Collaboration with internal teams to drive self-service analytics and establish reporting standards is essential.

The Senior Site Reliability Engineer will design and maintain a reliable data platform, develop data pipelines, automate processes, and ensure system observability while collaborating across teams.

Design and build data systems for a web platform and factory operations, ensuring data architecture is clean, monitored, and resilient while optimizing cost and performance.

As a Backend Engineer in the Data Platform, you'll design and build scalable data processing infrastructure, improve developer tools, and enhance system reliability and performance while collaborating with various teams at Spotify.

The Senior Data Platform Engineer will lead the development of scalable Snowflake services, automation, CI/CD pipeline design, and security controls to optimize data-driven healthcare projects.

The Senior Data Engineer will design, maintain, and optimize scalable data pipelines, ensuring data quality and governance while collaborating with stakeholders to meet data needs.

As a Senior Data Engineer, you will design and manage data ingestion pipelines, ensuring scalability, reliability, and quality of data for analytics and machine learning purposes. You'll collaborate with cross-functional teams to define data standards and governance while promoting self-service and standardization across the organization.