Top Data Jobs in London

Lead migration of SAS-based analytical EUCs to GCP by analysing business and risk logic, assessing GCP data landscape, defining data requirements and source-to-target mappings, producing engineering-ready specs, enabling engineering teams, and promoting reusable Consumer Data Products across use cases within an agile migration factory.

Lead design and governance of enterprise conceptual, logical, and physical data models for analytics, BI, data warehouses and operational systems. Define standards, metadata, lineage, and master/reference data models; architect cloud data platforms; collaborate with stakeholders, mentor teams, and optimize performance and data quality.

The Senior Director Analyst, MDM at Gartner will lead analysis and provide insights to help enterprise leaders succeed with their priorities in business and technology.

Lead design and delivery of scalable analytics, BI, forecasting, and AI-driven solutions for RevOps Sales Intelligence. Partner cross-functionally to improve data quality, governance, automation, and self-service analytics using cloud data platforms and modern ML/Generative AI techniques. Manage roadmap, stakeholder communication, and operationalize AI/analytics at enterprise scale.

The Platform Data Analyst will enhance visibility and performance optimization of Runware's media AI platform through analytics, monitoring, and reporting. Responsibilities include tracking performance, building dashboards, and collaborating with engineering and DevOps teams to improve observability and reliability.

The Data Engineer will build and maintain data infrastructure, optimize performance pipelines, and ensure efficient data ingestion and querying for analysis within a high-performance AI media platform.

The role involves programming and data review for real-world data analysis, supporting epidemiologists, and managing complex data sets using statistical programming languages and tools.

Lead the development of Smart Data Products within Actian's ecosystem, managing all stages of the product lifecycle and collaborating with cross-functional teams to drive innovation and adoption.

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.

Lead a team in developing scalable data solutions, mentor engineers, manage expectations, and contribute to code. Focus on high-quality software practices.

Design, build, and optimize cloud-based data platform components: ingest and transform varied datasets, create metadata-driven pipelines and data APIs, support AI/ML infrastructure, implement monitoring and metrics, and improve data processes to enable analytics and operational systems.

Build and maintain production data pipelines and features in Python; own project lifecycle from design to reliable production; set technical direction for the Insights platform; improve engineering standards (testing, observability, data quality); apply AI across products and pipelines; help establish semantic/AI-ready data layers.

Lead UK sales strategy for data center customers, develop strategic relationships with hyperscalers and colocation providers, manage pipeline and forecasting, coordinate cross-functional pursuit teams, and drive profitable growth through customer engagement, specification, negotiation and long-term account development.

Lead end-to-end SAP S/4HANA data migration activities: define strategy and governance, manage mapping, cleansing, ETL and reconciliation, execute mock and production loads, resolve defects, coordinate with testing and business teams, and support cutover readiness.

Design, build, and deploy production-grade ML models and recommendation systems, champion LLM use, optimise search and ranking, run A/B tests and statistical evaluations, and collaborate with engineering to integrate models into product infrastructure.

The Senior Data Analyst delivers insights dashboards and data products, leads projects, mentors team members, and collaborates with various stakeholders for data-driven decision making.

Design and implement cutting-edge data solutions for AI-driven transformations, collaborating with clients, developing scalable architectures, and supporting AI integration.

The Senior Systems Engineer will assist customers with evaluations, installations, and configurations while collaborating with R&D to define product requirements. Responsibilities include creating sales strategies, demonstrating expertise in storage products, and assisting in team development and recruitment.

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

Lead growth and delivery of Cloud ERP (primarily SAP S/4HANA Public Cloud) engagements. Act as trusted advisor to C‑suite, originate sales, manage programme delivery, financials, multi‑vendor teams, and coach talent. Support propositions across Dynamics 365, NetSuite and Workday Financials and integrate native AI capabilities.

Lead and grow S&W's Cloud ERP/SaaS Business Applications practice with a core focus on Dynamics 365 F&O. Serve as trusted advisor to C‑suite clients, originate and shape sales opportunities, manage end‑to‑end delivery and engagement financials, lead UK and offshore teams, and coach/mentor staff while expanding capabilities across a broader Cloud ERP portfolio.

Own Dex's end-to-end data foundation: design core data models, implement instrumentation in product code, build reliable pipelines, enable self-serve analytics, structure data for agent consumers, define metrics and standards, and drive data quality across the company.

The Senior Data Engineer will design, develop, and maintain data pipelines, ensuring data quality and reliability while collaborating with cross-functional teams to meet business needs.

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

The Data Architect will design data solutions, work with stakeholders, manage projects, and develop data architecture to meet business needs.