Top Data Engineer Jobs in London

Lead the design and development of data pipelines and models for digital advertising products, collaborating cross-functionally to optimize data usage and maintain high data quality.

The Software Engineer will develop and optimize data solutions for AI/ML workloads, mentor junior engineers, and improve system performance.

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.

Lead Data Engineer responsible for technical direction, design and scalability of data infrastructure, mentoring engineers, and aligning data initiatives with business priorities.

The Senior Software Engineer will develop and scale backend services, manage data pipelines, and ensure system reliability across multi-cloud environments.

The Senior Software Engineer will design and scale backend services, build data pipelines, optimize cloud billing, and ensure system reliability.

The Senior Software Engineer will design and build scalable backend services, improve data pipelines, and ensure system reliability and performance.

The Senior Software Engineer will design and build scalable backend services, integrate data pipelines, and ensure reliability and performance in a multi-cloud environment.

The Senior Software Engineer will design and build backend services, work on data pipelines, and ensure system reliability and performance in a multi-cloud environment.

As a Senior Data Platform Engineer, you will build data pipelines, enhance data governance, mentor engineers, and drive software and data engineering best practices.

As a Senior Research Engineer, you will manage data lifecycle for researchers, build a human-centric data lake, and enhance model performance through high-quality datasets in an AI-driven environment.

Lead and develop complex data engineering initiatives focusing on metadata ingestion and orchestration, utilizing Azure and Databricks. Mentor junior engineers and enforce best practices while collaborating with stakeholders to optimize data solutions.

As a Senior Data Engineer, you will build and optimize data pipelines, manage AWS data infrastructure, and ensure data quality while collaborating with teams to translate business needs into reliable data solutions.

The role involves building and operating a data platform, ensuring data discoverability and query-ability, and mentoring team members.

As a Senior Data Platform Engineer, you will lead complex incident management, influence architecture solutions, and provide ongoing support for enterprise data platforms while mentoring the team and ensuring service delivery excellence.

The Senior Data Engineer will design scalable systems, automate ML operations, optimize performance, and enhance infrastructure for data processing and monitoring.

As a Senior Data Engineer, you will develop data platforms and pipelines, collaborate with stakeholders, mentor juniors, and support pre-sales efforts.

Design and maintain data pipelines, collaborate with stakeholders, ensure data quality, deploy infrastructure as code, and optimize reporting solutions.

The Senior Data Engineer will build core infrastructure software for data platforms, mentor engineers, and ensure data access and performance across systems.

As a Senior Data Engineer, you'll design scalable data pipelines, collaborate with engineers and product teams, and evolve the architecture to support growth in users and data.

The Data Operations Engineer manages data feed infrastructure, ensuring secure, accurate data transfer, and collaborates with various teams to optimize processes.

The role involves managing large-scale unstructured data for ML systems, contributing to the entire product lifecycle, and building reliable system software.

Seeking a freelance technical writer for data infrastructure and engineering workflows. Responsibilities include translating complex concepts into digestible content and collaborating with SMEs for accurate communication.

The role involves developing and supporting data processing pipelines, collaborating with ML Engineers, and improving infrastructure while mentoring team members.

The role involves creating and automating infrastructure features for data platforms using Python, with a focus on distributed systems and collaboration within a global team.