Top Data Jobs in London

As a Senior Java Developer, you'll architect a multi-petabyte scale estate and tackle complex distributed systems processing billions of datapoints daily.

As a Data Architect II, you'll design and maintain data architectures, focusing on big data and AI workflows, while ensuring compliance with enterprise standards and best practices.

Lead the technical delivery of AI-driven projects, mentor team members, and build strong client relationships while overseeing data science methodologies.

The Outbound Data Relationship Manager will engage with fund managers to secure data, prospect clients, and build partnerships to enhance fundraising efforts.

The Data Engineer will design and implement data infrastructure, build scalable data pipelines, create data models, and automate workflows while collaborating with various teams to enhance analytics capabilities.

The Senior Data Analyst will analyze complex data, create visualizations, collaborate with stakeholders, lead projects, and mentor others in analytics.

Design and maintain scalable data pipelines, migrate data from Postgres to Clickhouse, and develop DBT models for reliable decision-making.

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

As a Data Analytics Engineer, you will build and maintain data models, ensure data quality, and generate insights across departments.

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.

As a Senior Data Analyst at Zilch, you'll analyze complex data to drive product strategy and profitability, focusing on customer behavior and growth opportunities.

The Business Manager will support and coordinate projects, prepare materials for leadership, and conduct research to aid business development. Responsibilities include managing timelines, consolidating data, preparing reports, and providing administrative support.

The Global Data Product Leader will oversee product lifecycle, set vision, engage customers, and drive data-driven product initiatives to enhance business outcomes.

Guide clients through Workday HCM data transformations and implementations, utilizing various Workday tools for data migration, validation, and client support.

The Senior Data Scientist will focus on quantitative analysis, guide A/B tests, and collaborate with teams to enhance user engagement and product profitability.

As a Junior Data Engineer, you will support the development and maintenance of AI models and data pipelines, write Python scripts, assist in machine learning model training, and maintain data infrastructure in Azure.

Collaborate with business users, develop and maintain code, support project delivery, analyze time-series data, and mentor junior developers.

As a Data Science Managing Consultant, you will lead business development, manage teams, and deliver data-driven solutions in the transport sector, while coaching junior staff and contributing to thought leadership.

The Senior kdb+ Developer leads technical delivery, designs robust kdb+ architectures, mentors developers, and collaborates with stakeholders to deliver scalable solutions for financial institutions.

Lead and innovate solutions for data-intensive financial institutions, design and implement kdb+ architectures, mentor developers, and maintain client applications.

The Data Operations Associate will manage outreach campaigns, ensure data accuracy, collaborate across teams, and support PitchBook's data quality initiatives.

As a Data Operations Associate, you will enhance PitchBook's private market database by gathering, verifying data and driving outreach strategies, while collaborating with team members to improve methodologies.

The VP Sales will drive growth by actively seeking new clients, managing a sales team, and ensuring successful delivery of solutions while maintaining strong customer relationships.

The Python Data Engineer will develop AI applications, manage data processing, mentor team members, and ensure code quality while collaborating with different teams.

The Senior Data Platform Engineer will design and build modern data platforms, develop high-performance pipelines, and optimize data storage and performance while consulting directly with clients to deliver impactful solutions.