Top Data Engineer Jobs in London

The Staff Implementations Data Engineer will build and maintain complex data pipelines, work collaboratively with teams to integrate products for clients, and provide technical expertise in client meetings.

As a Senior Azure Data Engineer, you'll design and deploy data engineering pipelines using Databricks on Azure, collaborate with clients, and implement best practices in a consulting environment.

Lead architecture and delivery of data solutions on Databricks within Azure, ensuring best practices in data pipeline design and implementation.

The role involves designing and building data pipelines using AWS technologies, leading projects, and mentoring junior engineers in a data engineering context for financial services.

The Principal Data Engineer will design and build scalable data pipelines, collaborate with clients on solutions, and mentor junior engineers in a hybrid environment.

Design and build scalable, secure data pipelines (streaming and batch), drive CI/CD and automation, participate in cloud migration and architecture discussions, collaborate with clients, and mentor internal teams to deliver production-grade data solutions.

As a Senior Data Scientist, you will develop and implement statistical models and machine learning algorithms to enhance sports modeling and the Sportsbook experience, collaborating across teams and mentoring junior scientists.

The Senior Implementations Data Engineer will design, develop, and maintain data pipelines, ensure data security, and support customer integrations, working with cross-functional teams and stakeholders.

Join CrowdStrike's data engineering team to build a hyper-scale data lake for cybersecurity, using Java and Spark to develop data platforms and pipelines.

The Senior Software Engineer will scale the Supplier Data Manager for enterprise customers, enhance AI-driven data pipelines, and improve collaboration features while ensuring operational excellence and customer-driven product development.

The Junior Data Engineer will design ETL pipelines, support database development, ensure data quality, and present findings to stakeholders.

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 implement cloud-native data platforms, engineer scalable pipelines, and optimize cloud resources using Python and SQL, while applying agile methodologies and cloud automation tools.

As a Data Engineer, you will develop and maintain ETL pipelines, manage data infrastructure, and support data-related projects to drive business insights.

Seeking a Data Engineer to join the Data Team to architect data solutions, mentor junior engineers, and optimize data platforms for AI/ML workloads.

As a Data Engineer, you will design and maintain scalable data infrastructure and pipelines, ensuring data quality and collaborating with various teams.

The Principal Data Engineer will provide technical leadership, define data engineering standards, and influence strategies across data platforms and pipelines. Responsibilities include designing large-scale data solutions, ensuring compliance with regulations, mentoring engineers, and improving operational maturity of data systems.

As a Data Engineer, you'll develop and maintain data pipelines, integrate complex datasets, and ensure data quality for quantitative trading strategies.

The Data Engineer role involves modeling data as an Analytics Engineer, improving data infrastructure, managing data ingestion, and delivering training.

As a Quant Data Engineer, you'll support quant modellers by preparing and maintaining datasets, improving data quality, and building Python-based data workflows for analysis and modelling.

Develop and maintain data pipelines and ETL processes using cloud-native technologies; support cloud and on-premise data integration and contribute to CI/CD and Infrastructure as Code activities.

The role involves owning and maintaining data pipelines, ensuring data reliability, and collaborating with teams to build new data pipelines for optimization and personalization.