Top Data Engineer Jobs in London

As a Data Engineer, you'll build data infrastructure and analytics pipelines for KYC and onboarding, ensuring compliance and data quality.

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.

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.

Design, build, and operate enterprise-grade, cloud-native data platforms and pipelines for Preqin's Company Intelligence. Provide technical architecture, end-to-end delivery, data governance, observability, and reliability while leading and mentoring a small team and partnering with product and analytics to deliver measurable business value.

The Staff Implementations Data Engineer will build and maintain complex data pipelines, work collaboratively with teams to integrate products for clients, and provide technical expertise in client meetings.

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.

The Data Engineer will build and maintain data pipelines, manage PostgreSQL databases, optimize SQL, and work with AWS services for data processing.

As a Data Engineer, you will design and maintain ETL services, collaborate in agile teams, and utilize cloud technologies to build scalable data solutions.

As a Data Engineer, you'll design, build, and enhance data pipelines, improve data flow efficiency, and optimize data performance in a cloud environment.

The Senior Data Platform Engineer will manage Databricks infrastructure, develop cloud systems, collaborate with teams, and enhance machine learning workflows.

As a Lead Data Platform Engineer, you will design and operate machine learning platforms using Databricks, manage AWS infrastructure, and enhance data workflow capabilities while mentoring teammates.

As a Data Engineer, you'll design and maintain the data infrastructure, build ETL/ELT pipelines, manage data warehousing, and ensure data quality through automated frameworks. You'll collaborate with Product and Engineering to optimize data usage and mentor team members.

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.

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.

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

The Senior Software Engineer will scale the Supplier Data Manager for enterprise customers, enhance AI-driven data pipelines, and improve collaboration features while ensuring operational excellence and customer-driven product development.

The Data Engineer will build and maintain data pipelines, ensuring quality and performance while collaborating with teams to support platform evolution and product delivery.

As a Data Engineer, you will create data pipelines, design data models, and enable self-service analytics, improving data accessibility and insights.

As a Data Engineer, you will design and deliver scalable data platforms, collaborating with stakeholders to solve complex data challenges and improve marketing insights for Dyson.

As a Data Engineer, you will build near real-time data solutions by collaborating within an agile team, designing scalable data pipelines, and leveraging AI tools. Responsibilities include maintaining ETL services and developing CI/CD processes.

The Principal Data Engineer will design and build AI features, manage data pipelines, and collaborate with data scientists to enhance machine learning models and their implementations.