Top Data Engineer Jobs in London

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

As a Data Engineer in a new Data Products factory, you'll design data models, build governed data products, and ensure data quality while collaborating across teams to support business needs.

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.

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

The role involves assessing and improving AI/data platforms, ensuring scalability and reliability, and integrating multi-source data, with hands-on delivery.

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.

Design and implement scalable backend and data systems for managing financial operations, tax calculations, and revenue tracking. Collaborate with cross-functional teams to improve platform capabilities and maintain code quality.

The Data Engineer will focus on building and maintaining data pipelines, enhancing data quality, and collaborating with cross-functional teams on data engineering projects.

The Junior Data Engineer will build data pipelines, create data models, and make data accessible using SQL and tools like DBT and Airflow. They participate in Agile processes and collaborate with cross-functional teams to support data science initiatives.

The Senior Simulation Data Engineer will manage the end-to-end data pipeline for simulation, ensuring high-quality outputs for ML training and collaborating with research teams to optimize processes.

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 Engineer will build data foundations to monitor AI systems for safety, develop pipelines, and ensure data reliability while collaborating with various teams.

The AWS Data Engineer will design, build, and operationalize enterprise data solutions on AWS, mentoring fellow engineers and consulting with clients on data architecture and migration.

Design, build and maintain ETL/ELT pipelines and data models using Python, SQL, Spark and Azure. Ensure data quality, governance and performance, create dashboards, and work with cross-functional teams to deliver scalable data solutions.

As a Data Engineer, you'll build and optimize the data platform infrastructure to facilitate effective data usage across Rightmove. Your responsibilities include data ingestion, orchestration, and implementing cloud engineering best practices with a focus on performance and scalability.

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

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

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.

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.

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

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

Own and migrate Payment Lifecycle business logic from dbt/SQL into Flink streaming jobs, operate and monitor pipelines (Datadog), deploy via ArgoCD/Terraform, use Apache Iceberg and Kafka for state/lookups, and ensure robust, low-latency, domain-owned data products.

As a Software Engineer III, you will develop and maintain data platforms, write Java code for analytics, and improve system efficiency.

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