Top Data Engineer Jobs in London

The Senior Software Engineer will design and build scalable backend services, improve data pipelines, and ensure system reliability and performance.

The Senior Software Engineer will design and build scalable backend services, integrate data pipelines, and ensure reliability and performance in a multi-cloud environment.

The Senior Software Engineer will design and build backend services, work on data pipelines, and ensure system reliability and performance in a multi-cloud environment.

Lead the design and development of data pipelines and models for digital advertising products, collaborating cross-functionally to optimize data usage and maintain high data quality.

The Software Engineer will develop and optimize data solutions for AI/ML workloads, mentor junior engineers, and improve system performance.

The Lead Data Engineer will design and build scalable data infrastructure, mentoring team members and driving data strategies across the organization.

Join the Enterprise Engineering team to extend and support existing systems and engage in greenfield projects, merging technology with business functions across Trading, Operations, and Finance.

As a Senior Research Engineer, you will manage data lifecycle for researchers, build a human-centric data lake, and enhance model performance through high-quality datasets in an AI-driven environment.

The Senior Data Engineer will design, build, and maintain data solutions for SwapClear, focusing on data management and utilisation, while participating in Agile development processes.

The role involves building a large-scale event streaming platform, mentoring teams, supporting cloud-based technologies, and developing streaming applications using tools like Kafka and Flink.

The role involves building and operating a data platform, ensuring data discoverability and query-ability, and mentoring team members.

The Senior Data Engineer will lead data solution design and delivery, mentoring junior staff, and engaging with clients to drive data strategy using Azure technologies and AI.

Deliver scalable data infrastructure for automated workflows, design data warehouse schemas, and create dashboards for stakeholders in finance.

Design and maintain scalable data pipelines, migrate data from Postgres to Clickhouse, and develop DBT models for reliable decision-making.

As a Senior Data Engineer, you will develop data platforms and pipelines, collaborate with stakeholders, mentor juniors, and support pre-sales efforts.

The Senior Data Engineer will design scalable systems, automate ML operations, optimize performance, and enhance infrastructure for data processing and monitoring.

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

Join Recorded Future as a Senior Threat Data Infrastructure Engineer, managing and maintaining threat intelligence infrastructure, enhancing workflows for analyst efficiency and performance monitoring.

The Senior Data Engineer designs, maintains, and optimizes ML applications and data pipelines, ensuring compliance and quality while mentoring junior engineers.

As a Senior Data Engineer, you'll design scalable data pipelines, collaborate with engineers and product teams, and evolve the architecture to support growth in users and data.

As a Senior Data Engineer, you will design and maintain ML applications, manage workflows, build data pipelines, and mentor junior engineers within a global team.

The role involves creating and automating infrastructure features for data platforms using Python, with a focus on distributed systems and collaboration within a global team.

The role involves automating OpenSearch operations by developing features in Python, collaborating with an international team, and providing expertise on data platforms.

As a Software Engineer on the data platform team, you'll automate data platform operations, write Python code, and collaborate on solutions within a distributed team.

As a Backend Engineer (Data Engineering), design and build scalable data pipelines and infrastructure for processing security data, ensuring reliability and performance.