Top Data Engineer Jobs in London

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, build, and operate enterprise-grade, cloud-native data platforms and pipelines for Preqin's Company Intelligence. Provide technical architecture, end-to-end delivery, data governance, observability, and reliability while leading and mentoring a small team and partnering with product and analytics to deliver measurable business value.

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.

As a Senior Engineer, you will develop and manage Cloudflare's storage and database solutions, ensuring high performance and innovative data products. Responsibilities include coding, architecture, and optimizing large-scale distributed systems.

As a Senior Data Scientist, you will develop and integrate sports models, engineer data assets, and ensure accuracy in applications while collaborating with various teams.

As an Associate Software Developer, you will design and improve reporting features, maintain systems, and enhance collaboration within teams to ensure high-quality software solutions in the context of alternative investments reporting.

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 Data Developer role involves onboarding and modeling datasets, conducting data analysis, and supporting production data in live trading environments.

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

The role involves managing data pipelines for AI and quantitative research, focusing on L3 market data architecture and integrity, API development, and collaboration with researchers.

The Data Engineer will design, build, and maintain data pipelines and cloud infrastructure for analytics and AI, collaborating with teams to enhance data-driven decision-making.

As a Junior Data Engineer, you will build and maintain ETL/ELT data pipelines, support data analytics initiatives, and ensure data quality and monitoring processes while collaborating closely with business stakeholders.

As a Data Engineer II, you'll build data pipelines for Spotify's Rights Center, enabling rights management and content matching. Responsibilities include developing analytics models, maintaining data exports, and ensuring pipeline reliability.

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 Data Engineer will enhance data analytics capabilities, support migration to Microsoft Fabric, build analytics/reporting stacks, automate processes with DevOps, and collaborate with departments for analytics needs.

The GCP Data Engineer will design and develop data processing modules and reporting, optimize data pipelines, ensure data quality, and support data governance.

The Data Engineer will architect the foundational data layer, build scalable data models in Snowflake, and implement ETL/ELT pipelines. Responsibilities include integrating APIs and developing predictive tools to support AI initiatives.

As a Data Engineer, you will create scalable ETL pipelines, optimize PostgreSQL systems, and ensure data accuracy for hospitality platforms.

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