Top Data Jobs in London

The role involves leading data and AI consulting engagements, managing project teams, ensuring client outcomes, and contributing to practice growth in specialist industries.

The Senior Data Consultant will design and optimize data architectures, provide best practices, and advise clients on data management technologies to enhance data-driven outcomes across industries.

As a Platform Data Analyst, you'll monitor performance, build analytics dashboards, and ensure reliable data pipelines for the Runware platform.

The Data Engineer will architect and maintain the data infrastructure, focusing on high-volume logs and performance pipelines to support observability and analytics for various teams.

The Data Manager oversees data management and analysis, ensuring accuracy, governance, and compliance while collaborating with IT and business teams to enhance decision-making through data insights.

Lead and coordinate multi-disciplinary design teams for data centre projects, ensuring timely delivery and maintaining client relationships, overseeing all project phases.

The Analytics Engineer I will design and build data pipelines, maintain data integrity, collaborate with Finance teams, and implement governance standards.

The Technical Data Lead oversees data strategy, architecture, and migration initiatives for SAP S/4HANA, ensuring data integrity, quality, and alignment with business needs. Responsibilities include data governance, team management, and stakeholder engagement for effective data management.

Lead and coach a team to source proprietary data from fund managers, ensuring performance goals and relationship-building with clients.

The Director of Strategic Partnerships is responsible for developing and managing strategic partnerships with ISV and OEMs, driving joint initiatives, and collaborating across Actian teams to enhance partnership strategies. The role requires deep domain expertise in data management and technical acumen along with strong communication and leadership skills.

Drive value through data engineering by leading data migrations, designing data solutions, coaching junior engineers, and ensuring compliance with data privacy standards.

Vizzuality is seeking passionate individuals for their talent pool in various roles related to science, data, design, and project management, focused on sustainability and positive environmental impacts.

Design and maintain data pipelines using Azure Data Factory and Databricks, ensuring data quality and collaborating with stakeholders to meet data requirements.

As a Data Scientist focusing on alternative data, you will analyze complex datasets, apply statistical and machine learning techniques, and develop tools for investment strategies.

The Data Engineer will design and support data warehouses, create analytics dashboards, perform data quality analysis, and identify process improvements. Responsibilities include collaborating with stakeholders to develop insights and ensure data governance.

The Data Engineer will build and maintain data pipelines, architecture, and CI/CD infrastructure, collaborate with stakeholders, and support AI components to enhance data management capabilities.

The Data Solution Designer will translate business requirements into data solutions, leading workshops and developing models while ensuring alignment with Bupa's data strategy.

The Data Solution Designer will align data strategies with business goals, lead data workshops, and develop data models for enterprise solutions.

As a Data Privacy Analyst, you will ensure compliance with data protection laws, conduct audits, track KPIs, and support data protection initiatives.

Design, build, and optimize scalable data platforms using Azure and Databricks. Responsible for developing ETL/ELT pipelines, maintaining data quality, and collaborating with analytics teams.

Seeking a Senior Software Engineer with strong data skills for a financial project. Responsibilities include managing data systems, simplifying models, and having hands-on engineering experience.

The Senior Data Infrastructure Engineer will manage AWS data infrastructure, optimize serverless architecture, ensure data delivery SLAs, and drive real-time analytics solutions. Responsibilities include designing infrastructure for user data processing, automating deployments, and collaborating on architectural decisions.

The Master Data Analyst manages product master data across systems, ensuring data quality and governance, collaborating with teams for optimal data processes.

The Data Engineer will develop and monitor BAU data pipelines, enhance processes, build new data pipelines, and contribute to the Data Lake technology in an Agile environment.

The Data Scientist will apply statistical and machine learning techniques to analyze data, develop models, and ensure governance throughout their lifecycle, communicating insights effectively.