Top Data Engineer Jobs in London

As a Data Engineer, you will enhance data governance and integration processes, maintain data pipelines, and support data-related needs for analytics and product teams.

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.

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.

Design and operate data processing pipelines for Zeta's AdTech platform, focusing on streaming and batch processes while collaborating with cross-functional teams.

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.

Design, build, and operate a scalable internal database platform, focusing on YugabyteDB components. Lead initiatives and ensure security, reliability, and efficiency in database management.

As a Data Platform Engineer, you will develop and manage a cloud-based database platform, focusing on automation, reliability, and security across multiple environments, particularly using YugabyteDB.

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.

The role involves building and maintaining Data Security products, focusing on APIs and distributed code to enhance security visibility and reliability.

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.

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

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 Data Engineer will enhance data ecosystems, develop analytical tools, collaborate on data quality, and apply data engineering techniques in the financial industry.

The Senior Data Scientist will develop sports models, engineer data assets, implement machine learning models in applications, and collaborate with teams to enhance the Sportsbook experience.

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

As a Data Engineer Intern, you'll support the development of data pipelines using Python and SQL while collaborating with cross-functional teams to enhance the company's data capabilities.

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.

The Data Engineer will design, develop, and maintain data product pipelines, optimizing data architectures within the Google Cloud Platform.

Design, develop, and maintain data pipelines using Kafka; build infrastructure with Terraform; troubleshoot data engineering issues and collaborate with teams.