Top Data Engineer Jobs in London

As a Data Engineer at Wheely, you'll enhance data integration pipelines, support business units with data needs, and enforce code quality in a collaborative environment.

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

The Data Engineer will support ETL/ELT pipeline development, work with Azure data services, ensure data quality, and collaborate with stakeholders to improve data solutions.

The Senior Research Data Engineer will architect data pipelines, manage data transformation, and collaborate with product and analytics teams to enhance health products.

The Data Engineer will design and maintain ETL pipelines, optimize data models, develop exporters, and ensure reliable data services for the Lambda app in a fast-paced startup environment.

As a Data Engineer, you will design, build, and maintain data pipelines and infrastructure to support data-driven decision-making in a collaborative environment.

The Principal Data Engineer designs and implements scalable data solutions, infusing AI into enterprise products, and integrates advanced analytics while leading a team to optimize data workflows.

The Data Engineer will design and deploy production data pipelines, utilize AWS technologies for data movement, and collaborate with teams on Agile projects.

The ML Data Engineer will design and manage data pipelines for large-scale unstructured data, primarily images, ensuring efficient ingestion and preprocessing while collaborating with ML engineers for model training.

The Data Engineer will architect and maintain the data infrastructure, focusing on high-volume logs and performance pipelines to support observability and analytics for various teams.

The Data Manager oversees data management and analysis, ensuring accuracy, governance, and compliance while collaborating with IT and business teams to enhance decision-making through data insights.

The Data Engineer will design and support data warehouses, create analytics dashboards, perform data quality analysis, and identify process improvements. Responsibilities include collaborating with stakeholders to develop insights and ensure data governance.

Design, build, and optimize scalable data platforms using Azure and Databricks. Responsible for developing ETL/ELT pipelines, maintaining data quality, and collaborating with analytics teams.

The Data Engineer will develop and monitor BAU data pipelines, enhance processes, build new data pipelines, and contribute to the Data Lake technology in an Agile environment.

Monitor and enhance data pipelines, work with Agile methodology, respond to IT incidents, create documentation, and mentor junior engineers.

As an Analytics Engineer, you will design and maintain SQL models for on-chain data, work with transformation tools, and collaborate with engineers on data pipelines.

The Junior Data Center Engineer at HRT will manage logistics, inventory, and maintenance of trading infrastructure, ensuring efficiency and reliability across data centers. Responsibilities include hardware forecasting and collaborating with partners.

Join a collaborative team to build and maintain data pipelines and infrastructure on a GCP-based platform, ensuring data reliability and performance.

The Data Engineer will build and maintain the revenue platform, design scalable systems for financial operations, and develop tools for finance teams at Spotify.

Design and architect scalable backend services, develop robust governance systems, build SaaS solutions, and mentor junior engineers to enhance IoT platform capabilities.

As a Data Engineer, you will design and develop data platforms and ETL pipelines, collaborate with stakeholders, and contribute to technology partnerships while adhering to industry best practices.

Design, develop, and maintain scalable data architectures and ETL pipelines, integrating internal and third-party data while optimizing performance and security compliance.

The Python Data Engineer will develop AI applications, manage data processing, mentor team members, and ensure code quality while collaborating with different teams.

As a Data Engineer, you will design, build, and maintain data infrastructure, automating ETL pipelines, and ensuring data compliance while collaborating with stakeholders.

As Tempo's first data engineer, you'll design and build data infrastructure, develop ETL pipelines, and optimize data systems for blockchain analytics.