Top Data Engineer Jobs in London

Design and build scalable, secure data pipelines (streaming and batch), drive CI/CD and automation, participate in cloud migration and architecture discussions, collaborate with clients, and mentor internal teams to deliver production-grade data solutions.

The Senior Implementations Data Engineer will design, develop, and maintain data pipelines, ensure data security, and support customer integrations, working with cross-functional teams and stakeholders.

As a Senior Azure Data Engineer, you'll design and deploy data engineering pipelines using Databricks on Azure, collaborate with clients, and implement best practices in a consulting environment.

Lead architecture and delivery of data solutions on Databricks within Azure, ensuring best practices in data pipeline design and implementation.

The role involves designing and building data pipelines using AWS technologies, leading projects, and mentoring junior engineers in a data engineering context for financial services.

The Principal Data Engineer will design and build scalable data pipelines, collaborate with clients on solutions, and mentor junior engineers in a hybrid environment.

As a Lead Security Engineer, you will architect and manage Circle's security data platform, ensuring robust data ingestion, normalization, and response strategies while collaborating on security operations initiatives.

As a Senior Data Platform Engineer, you'll design and manage a cloud-based database platform, drive implementation of YugabyteDB, ensure system reliability and security, and lead cross-functional initiatives while mentoring others.

As a Data Platform Engineer, you'll develop and manage a cloud database platform, focusing on automation, security, and scalability, while collaborating with teams to enhance service reliability.

The Senior Data Scientist will develop sports models, engineer data assets, implement machine learning models in applications, and collaborate with teams to enhance the Sportsbook experience.

As a Senior Data Science Engineer, you'll lead data science projects, develop algorithms, analyze datasets, and mentor junior team members to enhance trading operations and strategies.

Build and operate distributed ingestion and processing pipelines, ensure reliability and performance, define data contracts, add observability and testing, improve platform reliability and CI/CD, and participate in design/code reviews and incident retrospectives.

As a Data Engineer intern, you will develop data processing pipelines, collaborate with professionals, and create cloud-based infrastructure for investment insights.

Build and maintain ETL/ELT pipelines, data warehouses and lakehouse environments to support underwriting, forecasting, scenario modeling, and portfolio analytics. Ensure data quality, governance, and documentation while partnering with investment teams to translate requirements and automate workflows.

Design, build and maintain batch and streaming data pipelines on a GCP-based platform. Implement infrastructure with Terraform, optimise storage and costs, support analytics layer (BigQuery, Looker), collaborate with stakeholders and data teams, and ensure testing, observability, security, and data quality.

The Principal Data Engineer will lead the technical direction and strategy for data engineering at Genomics England, ensuring scalable and secure data platforms while mentoring teams and influencing technical decisions.

The Data Engineer will design and maintain data pipelines, optimize ETL processes, develop data models, and ensure data quality. The role involves collaboration with stakeholders and requires strong analytical and problem-solving skills.

Lead data migration strategies and implementation across hybrid cloud environments, design data pipelines, and optimize scalable systems while collaborating on AI projects.

As a Data Engineer at ASOS, you'll deliver high-quality, scalable data solutions using Azure technologies, support development efforts, and guide teams on best practices, fostering innovation and continuous improvement in data engineering projects.

The Data Engineer will design and develop production-grade features for an AI-enabled data product, translating business requirements into technical solutions while ensuring maintainability and collaboration with various teams.

The Data Engineer will design and develop data pipelines, manage data processing solutions, ensure data quality, and collaborate with team members to create scalable data assets.

Design, build and support an electronic FX Options data platform and fast pipelines for quantitative analysis. Collaborate with quants and traders to translate requirements, improve architecture, deployment, testing, and mentor developers.

As a Treasury Data Engineer, you will design and maintain data pipelines, onboard new storage layers, and collaborate with teams to enhance Treasury analytics.

Lead cross-team design and delivery of ML-ready data platforms and pipelines. Embed with ML teams to build scalable data infrastructure using SQL, Spark/Ray, Python, Airflow and AWS, drive standards, review designs and mentor engineers to enable production ML workloads.

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