Top Data Jobs in London

As a Principal Data and AI Architect at Salesforce, you will design enterprise-grade AI and data architectures, guide senior customer executives, and lead pre-sales technical solutions utilizing the Agentforce platform and Data 360.

The Expert Partner leads client engagements, develops relationships, manages teams, drives innovation in Data and AI consulting, and achieves financial objectives.

Enhance the risk function's data use, collaborate with stakeholders, and champion AI in risk management and governance.

The Platform Engineer will develop robust backend systems, improve developer experience, ensure reliability, and focus on security and compliance for document automation.

The Data Engineer will enhance data analytics capabilities, support migration to Microsoft Fabric, build analytics/reporting stacks, automate processes with DevOps, and collaborate with departments for analytics needs.

Lead and coordinate multi-disciplinary teams for data centre projects, ensuring design excellence and client satisfaction across multiple phases and locations.

The DC IT Support Manager will oversee the development and management of AI solutions, collaborating with various teams to meet customer needs. The role includes implementing technology solutions and ensuring effective communication among stakeholders.

The GCP Data Engineer will design and develop data processing modules and reporting, optimize data pipelines, ensure data quality, and support data governance.

Contribute to product vision by designing metrics, conducting experiments, productionizing data workflows, and collaborating across teams to leverage customer insights effectively.

Own the end-to-end data quality issue lifecycle, lead offshore analysts, liaise with UK stakeholders, partner with IT/Operations for fixes, drive preventive data quality improvements, and produce governance-ready reporting and dashboards.

The Reference Data Analyst is responsible for resolving data discrepancies, supporting data operations, onboarding new datasets, and ensuring effective communication with stakeholders.

The Data Onboarding Technician will engage with customers and implementation teams to drive data conversion tasks and ensure smooth onboarding to ezyVet's software. Responsibilities include monitoring conversions, prioritizing tasks, and maintaining project tools like Jira.

The role involves leading data-driven marketing strategies, supporting measurement and reporting, and collaborating with teams to enhance customer engagement through effective data solutions.

Lead complex data engineering projects as a trusted advisor, guiding senior stakeholders to leverage data for business value and document architectural designs.

The role involves leading institutional investor reporting, managing complex data sets, conducting reconciliations, ensuring compliance, and mentoring junior team members.

The Data Analyst will assist in building pricing models and management information dashboards, support data manipulation, and collaborate with teams to enhance data visualisation and quality.

The Data Analyst provides reports, insights, and visualizations for the Global Finance team, focusing on automation, data trends, and collaboration.

The Data Centre Maintenance Planner coordinates maintenance activities, ensures safety compliance, and updates management systems while optimizing resources and supporting operations.

Lead the engineering strategy for data integration in a healthtech startup, focusing on building a multi-modal data platform and leading a strong engineering team to deliver high-quality data products.

Design, build, and scale production-grade ML systems for restaurant management, focusing on demand forecasting and workforce optimization while ensuring model accuracy and commercial value.

The Senior Data Analyst will manage MI infrastructure, design DBT models and SQL pipelines, and build automated dashboards for performance monitoring and compliance.

As Lead Data Engineer, you'll architect data systems for an AI product, building scalable pipelines and ML infrastructure while establishing engineering standards and mentoring future team members.

You will lead technical delivery for Enterprise rollouts by translating operational data into AI solutions, conduct validation analyses, and partner with stakeholders to enhance model performance.

The Data Engineer will architect the foundational data layer, build scalable data models in Snowflake, and implement ETL/ELT pipelines. Responsibilities include integrating APIs and developing predictive tools to support AI initiatives.

As a Data Engineer, you will create scalable ETL pipelines, optimize PostgreSQL systems, and ensure data accuracy for hospitality platforms.