Top Data Engineer Jobs in London

Develop and enhance the Cloudflare Analytical Database Platform, focusing on performance, reliability, and new features while collaborating with teams and the ClickHouse community.

The role involves designing, developing, and maintaining scalable distributed systems for data delivery, analytical databases, and data retrieval processes. Responsibilities include optimizing performance, collaborating with teams, and enhancing customer-facing APIs.

Responsible for developing customer-facing APIs, enhancing alerting platforms, optimizing analytical queries, and ensuring operational health of systems in a distributed data environment.

As a Distributed Systems Engineer, you will design and build logging platforms, develop data connectors, ensure compliance of audit logs, optimize data delivery, and maintain operational health through monitoring and collaboration with other teams.

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

The Data Engineer will architect and build data platforms, manage datawarehouses, support production systems, and collaborate with portfolio managers and developers to meet business needs.

The AI Data Engineer will design and implement data pipelines for AI and ML workflows, ensuring data quality and supporting model training and deployment.

The Data Engineer role involves modeling data, assessing data infrastructure, managing ELT tools, and delivering training and technical presentations for clients' data analytics projects.

As a Data Engineer, you will build and maintain data pipelines, contribute to API development, and ensure data quality and governance, while collaborating with product teams.

As a Data Engineer, you will design and build data pipelines, models, and infrastructure for analytics and machine learning while ensuring data quality and compliance.

Design, build, and optimize cloud-based data platform components: ingest and transform varied datasets, create metadata-driven pipelines and data APIs, support AI/ML infrastructure, implement monitoring and metrics, and improve data processes to enable analytics and operational systems.

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

The Data Engineer will design and build production-grade data pipelines and architectures for AI solutions, ensuring data quality and collaborating with cross-functional teams.

Design infrastructure for AI-native learning experiences, develop adaptive learning capabilities, and create analytics systems to empower educators and track learner progress.

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 Senior Microsoft Data Engineer will design and build business intelligence solutions on Azure, utilizing SQL Server, Data Warehousing, and BI practices to meet client needs.

The Data Engineer will develop data infrastructure, build data pipelines, implement workflows, and collaborate with teams to enhance data analytics capabilities.

The Data Engineer will design and maintain scalable data pipelines, optimize data infrastructure, monitor data quality, and enable analytics capabilities, ensuring alignment with business goals.

Design and develop data processing modules and reporting systems, optimize data pipelines, and work with teams to ensure data quality and governance.

As a Data Engineer, you will create data pipelines, design data models, and enable self-service analytics, improving data accessibility and insights.

As a Data Engineer, you will build near real-time data solutions by collaborating within an agile team, designing scalable data pipelines, and leveraging AI tools. Responsibilities include maintaining ETL services and developing CI/CD processes.

Join a team to design and build scalable data pipelines on GCP for financial institutions, ensuring governance and compliance while collaborating on data solutions.

Design and build cloud-based data pipelines using AWS tools, collaborate with clients, ensure data governance, and mentor junior engineers.

The role involves building data solutions using Microsoft Fabric, creating data pipelines, and implementing data governance practices while working as a consultant in a dynamic team.

As a Data Engineer, you will design and deliver scalable data platforms, collaborating with stakeholders to solve complex data challenges and improve marketing insights for Dyson.