Top Data Engineer Jobs in London

The Senior Data Engineer will design and implement a data platform, collaborating with stakeholders to define problems, identify data bottlenecks, and improve architectural solutions.

Develop scalable cloud-native platforms for real-time tick data. Collaborate with researchers, architect systems, and build distributed data architectures.

The Senior Software Engineer II will design and implement generative AI services, drive architectural standards, mentor engineers, and collaborate across teams to enhance data solutions.

The Principal Customer Data Platform Engineer will manage the customer data architecture, focusing on tracking, identity resolution, compliance, and data governance for Airalo. They'll collaborate with cross-functional teams to ensure systematic data flow, integrity, and compliance across various platforms and lead architectural decisions.

As a Senior Software Engineer, you'll maintain critical data framework integrations, ensuring performance and reliability while collaborating with the community, affecting real-time analytics and observability systems.

Design, build, and deploy machine learning models and intelligent data systems for Formula 1, focusing on predictive analytics, computer vision, and natural language processing, while collaborating across teams to identify data opportunities.

End-to-end delivery of ML-powered services, involving research, prototyping, production, and operations. Collaborate on product requirements while maintaining high quality and operational excellence.

The Sales Engineer will drive success by providing technical expertise, customizing presentations, and developing solutions for data observability products, while collaborating with various teams to meet customer needs.

Build and deliver internal data tools and platforms, support ingestion systems and promote operational excellence in a collaborative environment.

As a Senior Data Engineer, you will enhance data governance, improve data quality, and ensure compliance. You'll lead implementations, develop observability systems, and mentor teams to strengthen data reliability across the organization.

The Senior Data Engineer will develop, maintain, and support data pipelines and artefacts for SCOR's data ecosystem, ensuring high-quality data management and promoting best practices across teams.

The Software Engineer will manage data collection for model training, operate cloud infrastructure, and collaborate on data management strategy to enhance Speechify's AI capabilities.

Lead the development of backend services for government clients, focusing on high availability and scalability, while collaborating in agile teams and maintaining deployment pipelines.

The Lead Data Engineer will develop secure data platforms using various technologies, ensuring data integrity and alignment to target models, and enhancing data processing.

As a Senior Data Engineer at YLD, you'll design and build scalable, resilient data-driven solutions, collaborating with cross-functional teams to innovate and enhance productivity through AI tools.

Design, build, and maintain scalable data pipelines and services for large-scale search and analytics. Develop batch and ELT/ETL workflows, use Spark, Airflow, Python/Java, and AWS, apply engineering best practices, and collaborate with product and data science teams.

Design and maintain reliable data solutions, lead a squad of engineers, develop scalable data pipelines, and ensure adherence to data standards.

The Principal Software Engineer is responsible for developing scalable data pipelines for AI and analytics, ensuring high-quality data practices, mentoring engineers, and collaborating with technical teams.

The Principal Mechanical Engineer will lead mechanical engineering projects for data centres, managing multidisciplinary teams and contributing to strategic growth and thought leadership.

The Principal Software Engineer will lead the development of scalable data pipelines and systems for AI and analytics, ensuring data quality and operational support.

The Principal Software Engineer leads the delivery of scalable data pipelines, supports AI and analytics, and mentors engineers. They focus on building reliable data capabilities and ensure compliance with data regulations while enabling data usability for various applications.

The Senior Applications Developer and Data Specialist will develop and support core business applications and data platforms while ensuring secure development practices and engaging with business teams for process optimization and automation initiatives.

Lead and mentor data engineering teams to design, build, and optimize scalable ETL/ELT pipelines and data architectures on cloud platforms, ensuring data quality, performance, and alignment with business needs.

The Senior Data Engineer will design and build an internal data platform, integrate data from multiple systems, and enable non-technical users to access and use data effectively, championing best practices in data engineering.

The Senior Data Science Engineer will design production-grade analytical solutions in Python, contributing to data science methods and mentoring juniors. Responsibilities include creating reusable packages and collaborating with stakeholders.