Top Data Engineer Jobs in London

Design, implement, and maintain market data feed handlers, optimize system performance, and collaborate with traders and engineers to ensure data integrity.

Design, build, and maintain data pipelines for property listings. Use AI and machine learning to enhance data processing and manage databases.

The Data Engineer will build and maintain a low-latency market data platform, ensuring reliability and integration with trading systems. Responsibilities include designing data pipelines, collaborating with stakeholders, and improving data processes.

The Data Engineer will analyze, clean, and manage various datasets to assist traders at Jane Street, automating ETL processes and ensuring data quality.

Design and manage scalable log ingestion pipelines within the Elastic SIEM ecosystem, ensuring data quality and compliance while mentoring junior engineers.

As a Data Engineer, you'll develop data pipelines, manage data integration and transformation, and support analytics and intelligence projects for government clients.

The AI Data Engineer designs and builds scalable data pipelines, integrates AI services, and ensures data readiness for advanced analytics across Convatec's Azure ecosystem, collaborating with AI Engineers and Data Scientists.

As a Senior Data Engineer, you will optimize ETL/ELT pipelines, enhance data processes, implement robust testing strategies, and support data systems operations at Kargo.

As a Principal Database Engineer, you will architect scalable PostgreSQL solutions, ensuring data reliability, performance, and collaborating with teams to build a robust data platform for GitLab's growth.

The Data Engineer will manage the company data warehouse, ensuring data quality, support MI and KPI reporting, and assist in data analysis for business insights.

The Data Engineer will maintain the data stack, optimize reporting systems, and support business needs through efficient data management. Responsibilities include data modelling, managing ETL processes, and ensuring high-quality data availability.

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

The role involves creating and managing data assets, building data pipelines, ensuring data quality, and providing technical leadership for product teams.

The Data Engineer will design and optimize data pipelines, manage data in various formats, and collaborate across teams to enhance self-service analytics, using technologies like PySpark and SQL.

N-iX seeks a Data Engineer with MLOps experience to create scalable ML pipelines, deploy models, and contribute to best practices in data engineering and coding.

As a Data Engineer, you will modernize data infrastructure, develop scalable solutions, and collaborate with teams on data-driven projects.

Design and implement real-time market data systems, drive technical innovation, provide leadership, and optimize processing workflows.

As a Lead AWS Data Engineer, you will design scalable data pipelines, collaborate on data solutions, and contribute to a lakehouse architecture, while applying software engineering practices.

As a Data Engineer at AlixPartners, you will support database and data engineering tasks, manage ETL processes, and ensure data accuracy and reliability while collaborating with a team.

The Data Engineer will build and maintain data pipelines, architecture, and CI/CD infrastructure, collaborate with stakeholders, and support AI components to enhance data management capabilities.

Design, build, and optimize data pipelines for analysis and machine learning. Collaborate on data infrastructure, ensure data quality, and support model deployment.

As a Principal Data Engineer, lead the design and development of high-performance data systems, ensuring reliability and scalability while leveraging Apache Kafka and cloud technologies.

As a Data Engineer, you'll design, develop, and implement high-performance data infrastructure and pipelines while communicating effectively with various stakeholders.

The Principal Data Engineer designs and builds large-scale backend services and data pipelines, leading technical initiatives and mentoring junior engineers.

As a Senior Software Engineer, you'll build a full-stack platform for subscription apps, optimize data pipelines, and lead technical projects.