Top Data Jobs in London

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.

As a Principal Data Analyst, manage data processing, build data pipelines, ensure data quality, mentor junior analysts, and collaborate on improvements in data methodologies.

The Senior Manager oversees clinical data management activities for studies, ensuring adherence to timelines and quality while managing CROs and mentoring staff.

The Director of Electrical Engineering will lead a team focused on data center infrastructure, oversee project execution, and drive innovation and standards in electrical engineering while ensuring alignment with corporate goals.

The People Data & Insights Specialist will manage IG's people data ecosystem, deliver trusted dashboards, provide workforce analytics, and improve data governance while partnering with HR and business leaders to enhance data-driven decision-making.

The Data Engineer will focus on building and maintaining data pipelines, enhancing data quality, and collaborating with cross-functional teams on data engineering projects.

As a Senior Java Engineer, you will develop and optimize backend services for data-intensive applications, focusing on high reliability and performance in live sports environments. You will collaborate on architectural decisions, manage data pipelines, and work within an agile team deploying applications on AWS.

The Analytics Engineer will manage the data platform, design data models, ensure data quality, and collaborate with various teams to enhance data usage and analytics automation. You'll leverage modern tooling to support a self-serve analytics culture.

The Data Architect will design and implement scalable data architectures, improve data quality, and shape data products to drive business growth, focusing on AEC industry applications and collaboration with cross-functional teams to meet data needs.

The Director of Data & Insights leads data governance, reporting product design, and cross-functional partnerships to enhance business insights, optimally drive growth and improve unit economics through actionable data strategies.

The Lead Data Scientist will set technical directions, oversee complex projects, mentor teams, and build relationships with clients while ensuring high-quality deliverables.

The role involves analyzing large datasets to derive insights for business strategy, building AI solutions, and communicating findings to the CEO.

Design, build, and maintain scalable data pipelines and services for large-scale search and analytics. Develop batch and ELT/ETL workflows, use Spark, Airflow, Python/Java, and AWS, apply engineering best practices, and collaborate with product and data science teams.

The Lead AWS Software Data Engineer will design and develop scalable data pipelines using Python and AWS tools, collaborate with business teams, and enhance data quality and observability while applying modern software engineering practices.

Lead the data science organization to deliver AI products, mentoring teams and executing a strategic vision for machine learning applications.

The role involves supporting vendor data acquisition, conducting audits, ensuring compliance with market data licensing, and maintaining relationships with data suppliers and exchanges.

Design and implement scalable backend and data systems for managing financial operations, tax calculations, and revenue tracking. Collaborate with cross-functional teams to improve platform capabilities and maintain code quality.

The Key Account Manager will drive new business, manage strategic relationships, and ensure project success in the data centre sector.

The role involves assessing and improving AI/data platforms, ensuring scalability and reliability, and integrating multi-source data, with hands-on delivery.

The Senior Data Engineer will design, build, and maintain data solutions for SwapClear, focusing on data management and utilisation, while participating in Agile development processes.

Design and build scalable data pipelines, support analytics and reporting, ensure data quality, and collaborate with cross-functional teams. Mentor team members and implement best practices in data engineering.

The Data Engineer will manage pipelines, integrate bioinformatics data, develop ETL workflows, enhance data governance, and promote data usability for non-technical users.

The Senior Data Analyst will analyze operational performance, provide insights on customer delivery behaviors, and collaborate with cross-functional teams to improve logistics infrastructure and drive impactful decision-making through data.

The Senior Data Science Engineer will design and implement production-grade analytical solutions in Python, work with relational databases, apply machine learning techniques, and mentor junior team members.