Top Data Engineer Jobs in London

The Analytics Engineer designs and implements ETL solutions for data integration into Data Lakes/Warehouses, enabling effective data analysis.

As a Data & AI/ML Architect, you will conduct workshops, oversee project delivery, design architectures, and mentor juniors while engaging with clients.

The Data Engineer will design, build, and maintain scalable data infrastructure, ensuring data accessibility for analysis and driving decision-making across the company.

As a Data Engineer II at Spotify, you will design scalable data pipelines, collaborate with finance stakeholders, and enhance engineering practices within a cross-functional team.

As a Data Engineer at Helsing, you will lead and automate data acquisition and labeling processes for AI development, support data preparation pipelines, and collaborate with engineering teams.

The Data Centre Engineer supports global data centers, coordinates equipment management, responds to incidents, manages inventory, and ensures compliance.

The Data Centre Engineer is responsible for supporting the global portfolio of Data Centers, managing equipment changes, incidents, resources, and ensuring compliance and accuracy of data center operations.

As a Data Engineer, you will design, implement data infrastructure, develop pipelines, and ensure data integration across multiple sources while maintaining communication with stakeholders.

The Data Engineer will manage pipelines, integrate bioinformatics data, develop ETL workflows, enhance data governance, and promote data usability for non-technical users.

The Lead AWS Software Data Engineer will design and develop scalable data pipelines using Python and AWS tools, collaborate with business teams, and enhance data quality and observability while applying modern software engineering practices.

As a Junior Data Engineer, you will support the development and maintenance of AI models and data pipelines, write Python scripts, assist in machine learning model training, and maintain data infrastructure in Azure.

The Data Engineer will design and deploy data pipelines, collaborate with different teams, and manage data quality and governance for optimal performance.

As a Staff Data Engineer, you'll architect and build data pipelines, champion small data strategies, mentor teams, and ensure operational excellence in data workflows.

Responsible for developing backend AI features, integrating machine learning models, building data pipelines, and maintaining AI services within a retail ecosystem.

Design and implement data pipelines, manage access controls in Snowflake, and ensure compliance through automation. Collaborate with cross-functional teams to optimize data workflows.

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 will focus on data engineering best practices, data transformation using DBT, managing data pipelines, ensuring data governance, and maintaining data security within a remote team environment.

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.

As a Senior Data Engineer, you'll build and maintain data infrastructures, optimize data warehouses, implement streaming architectures, and collaborate with analysts to ensure data quality and reliability.

Design, develop, and maintain scalable real-time data pipelines. Collaborate with teams to ensure data infrastructure meets business objectives.

Design, implement, and maintain data solutions on the cloud; serve as a data expert, enhance data pipelines, and present complex data visually.

Lead the development and innovation of reference data and security master solutions, ensuring alignment with business objectives and providing exceptional support to internal customers.

Lead the Luna data team as a technical practice lead, focusing on migrating data from Redshift to AWS RDS while mentoring team members in Python and DataOps practices.

Join a Bioinformatics Team to build data pipelines for genetic research, ensuring data quality and collaborating with stakeholders.

Responsible for designing and maintaining data pipelines, collaborating with teams for data quality, and developing engineering solutions using various tools and technologies.