Top Data Engineer Jobs in London

As a Data Engineer at Zapier, you'll build scalable data systems, enhance product functionality through data, and collaborate with teams to improve data access and usability.

As a Data Engineer, build and manage data pipelines, ensure data quality, and support analytics for trading. Collaborate with teams to define data needs and best practices for infrastructure and applications.

As a Lead ML Ops & Data Engineer, you'll develop automated pipelines, collaborate with teams to ensure efficient ML Ops, and maintain high-quality data sources.

The Junior Data Center Engineer at HRT will manage logistics, inventory, and maintenance of trading infrastructure, ensuring efficiency and reliability across data centers. Responsibilities include hardware forecasting and collaborating with partners.

The Associate Data Engineer will develop applications, manage data pipelines, enhance data quality, and support SaaS offerings within Quantexa's Applications team.

As a Data Engineering Intern, you will support data infrastructure and pipelines, gain experience in programming, and learn Agile methodologies while working alongside experienced engineers.

The Data Engineer will work with marketing and sales teams, focusing on data engineering and tooling to drive customer acquisition while ensuring data compliance.

The Data Engineer will build applications, data pipelines, and models to analyze reinsurance data, collaborating with teams to enhance insights for clients and colleagues.

The role involves engineering and maintaining a data platform on Azure, developing tools, collaborating with users, and utilizing infrastructure as code practices.

As a Lead AWS Data Engineer, you will design scalable data pipelines, collaborate on data solutions, and contribute to a lakehouse architecture, while applying software engineering practices.

The Data Engineer will build data pipelines for analytics in energy storage, automating data flows and ensuring data quality and performance.

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

Design and maintain ETL/ELT pipelines, collaborate with finance teams on data governance, optimize data retrieval and dashboards, and ensure data quality and security.

Design and implement data processing pipelines using Azure services; ensure data is ingested, transformed, and optimized for analytics solutions.

The Data Engineer will manage the company data warehouse, ensuring data quality, support MI and KPI reporting, and assist in data analysis for business insights.

The Data Engineer will develop data pipelines, manage API strategy, ensure data quality, and shape the technical vision of the platform.

The role involves supporting data solutions by assisting in ETL processes, data modeling, and stakeholder communication while gaining data engineering skills.

The Data Engineer will support ETL/ELT pipeline development, work with Azure data services, ensure data quality, and collaborate with stakeholders to improve data solutions.

As a RevOps Data Engineer, you will build and maintain revenue data models, integrate various data sources, and create metrics that drive business decisions across teams.

The role involves analyzing client data structures, developing data mapping specifications, and ensuring data quality and compliance with security standards.

The Analytics Engineer designs and implements ETL solutions for data integration into Data Lakes/Warehouses, enabling effective data analysis.

As a Data Engineer at Helsing, you will lead and automate data acquisition and labeling processes for AI development, support data preparation pipelines, and collaborate with engineering teams.

The Data Engineer will design, build, and maintain scalable data infrastructure, ensuring data accessibility for analysis and driving decision-making across the company.

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

The Actuarial Data Engineer will design and build data solutions for analytics, focusing on actuarial datasets and collaborating with pricing teams to optimize data access and cleanup.