Top Data Engineer Jobs in London

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.

Lead development of strategic data pipelines and software solutions for Credit Trading. Collaborate with stakeholders to enhance operational stability, promote innovation, and ensure technology meets business needs.

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 Vice President, you will lead Preqin's Data Engineering/BI team, develop data infrastructure, ensure stakeholder alignment, and promote data best practices. You will also drive the adoption of advanced analytics and AI/ML solutions.

The role involves designing, developing, and maintaining scalable distributed systems for data delivery, analytical databases, and data retrieval processes. Responsibilities include optimizing performance, collaborating with teams, and enhancing customer-facing APIs.

As a Lead Data Engineer, you will mentor analysts, build data pipelines, define strategic data roadmaps, ensure data quality, and drive best practices in analytics tooling.

As a Data Production Engineer, you will support automated trading systems, manage data processes, and collaborate with teams to prepare data for analysis.

Responsible for developing customer-facing APIs, enhancing alerting platforms, optimizing analytical queries, and ensuring operational health of systems in a distributed data environment.

As a Distributed Systems Engineer, you will design and build logging platforms, develop data connectors, ensure compliance of audit logs, optimize data delivery, and maintain operational health through monitoring and collaboration with other teams.

The Data Engineer II builds and maintains automated data services and pipelines, applies best practices in software development, and ensures data quality and compliance, while also supporting and improving existing services.

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.

The Data Engineer will optimize, support, and build data products, manage CI/CD pipelines on GCP, develop data pipelines, and collaborate closely with stakeholders.

The Senior Data Engineer designs high-scale data solutions, mentors junior engineers, and improves the data architecture for analytics, focusing on data integration, testing, and real-time pipeline development.

As a Data Engineer, you'll develop and maintain data pipelines, integrate complex datasets, and ensure data quality for quantitative trading strategies.

As a Python Data Engineer, you will design and implement applications, collaborate on software delivery, and mentor junior developers while ensuring code quality and performance within the data platform.

As a Principal Data Engineer, you will lead data platform initiatives, ensuring technical excellence, mentoring teams, and simplifying legacy systems while collaborating with cross-functional partners.

As a Data Engineer, you will design, implement data infrastructure, develop pipelines, and ensure data integration across multiple sources while maintaining communication with stakeholders.

The Data Engineer will own and scale data infrastructure for managing petabyte-scale datasets, build feature stores, process data for ML models, and ensure data versioning and correctness.

The Specialist Data Engineer is responsible for designing and maintaining ETL/ELT pipelines, optimizing data models, and implementing CI/CD solutions within a cloud-first data architecture.

As a Core Data Engineer, you will manage the lifecycle of data products, ensuring high-quality data delivery, developing pipelines, and collaborating across teams.

As a Senior Engineer, you will develop and manage Cloudflare's storage and database solutions, ensuring high performance and innovative data products. Responsibilities include coding, architecture, and optimizing large-scale distributed systems.

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

The role involves developing and maintaining data parsers for financial market data, improving data processing systems, and collaborating on Development projects.

The Data Engineer role entails building scalable data infrastructure, developing ETL pipelines, managing an internal data lake, and enhancing risk detection systems for Quantexa's platform, requiring collaboration and continuous improvement in a fast-paced environment.

As an Analytics Engineer, you will build and optimize data pipelines, model cost databases, analyze data for performance, and collaborate with teams on data-driven insights.