Top Data Jobs in London

The Associate Data Analyst collaborates to create data products and visuals, ensures data accuracy, and handles ad-hoc requests while contributing to team projects.

The Associate Data Analyst will deliver insights dashboards and data products, ensure data accuracy, and handle ad-hoc requests while collaborating with team members and stakeholders.

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.

The Senior Software Engineer will lead the Core Data team to improve APIs, systems, and data pipelines, focusing on backend engineering and team mentoring.

The Principal Data Analyst will lead a team to deliver analytical solutions, manage performance analysis, and optimize decision-making in the Supply domain.

The Data Analyst delivers insights and data products, collaborates with teams, creates dashboards, and supports operations through ad-hoc requests.

The Data Engineer Manager will create an AI-ready data factory on Azure and Snowflake, ensuring high-performance data products through best-in-class engineering practices and team leadership across multiple regions.

The Cloud Engineer will manage and enhance Azure Databricks environments, focusing on production readiness, pipeline reliability, automation, and collaboration with data teams to ensure robust AI and data capabilities.

The Senior Data Engineer will design and build an internal data platform, integrate data from multiple systems, and enable non-technical users to access and use data effectively, championing best practices in data engineering.

Lead design and delivery of production-grade data pipelines, models and analytics on cloud platforms. Translate ambiguous problems into technical solutions, build/operate ETL/streaming, embed governance, integrate ML, apply software engineering practices, and communicate insights with visualisations and consultancy-grade materials.

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.

Develop and maintain data pipelines, optimize solutions using AWS services, and ensure data quality and security while collaborating with cross-functional teams.

The Senior Data Analyst will analyze data, run A/B tests, and provide insights to improve product decisions and user experiences.

The Senior Data Engineer will design and build a scalable real-time data backbone, focusing on data pipelines, integration, and collaboration with teams to support analytics and business objectives.

Lead the roadmap and delivery of Ohme's data and AI products: prioritize features, define requirements and success metrics, work hands-on with ML/data engineers to ship and iterate, liaise with commercial and ops teams, and drive adoption and measurable business outcomes.

The Senior Data Scientist will enhance clinical trial recruitment through data products and services, liaising between teams to develop efficient analytics and technologies, ensuring trust in a regulated environment.

Operate and support Kafka clusters (MSK and on-prem), manage Kafka Connect ecosystem (Debezium, KSQL, Schema Registry), troubleshoot producers/consumers, implement HA/backup strategies, automate provisioning (IaC/scripting), monitor and tune cluster performance, support incident response and on-call, and document operational procedures.

Drive the development of Ravio's data platform by building and maintaining data pipelines, ensuring data quality, and collaborating with the team. Oversee cloud infrastructure and shape the data roadmap while fostering a positive team culture.

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

Lead end-to-end development and productionisation of time-series forecasting ML solutions: design, train, deploy models, build cloud-native data pipelines, collaborate with stakeholders, and monitor model performance to optimise clinic scheduling and staffing.

Contract role to design and deliver a proof-of-concept knowledge graph for investment fund data. Build OWL2/RDF ontologies, SHACL validation shapes, SKOS concept schemes, R2RML/rdflib ETL to Turtle/N-Quads, SPARQL APIs, and governance reports integrating enterprise triple stores across multiple markets.

Work with financial-services clients across data strategy, architecture, data management, engineering, analytics and delivery. Shape and deliver data transformation programmes, build predictive models and dashboards, use NLP/AI tooling, and support business development and client stakeholder engagement.

Client-facing senior data privacy consultant delivering privacy programmes and projects: DPIAs, breach investigation and notification, data mapping, DSAR processes, privacy policies, Records of Processing, third-party due diligence, training, risk assessments, DPO duties and regulator liaison, and supporting pre-sales and business development.

Design and govern enterprise-scale data architectures and pipelines across operational and analytical domains. Ensure data products align to standards and strategy, support cloud migration to Azure and Snowflake, provide architecture assurance, chair Data Design Authority, embed governance and MDM, and enable data readiness for AI/ML initiatives while liaising with business and delivery teams.

Consulting role focused on Workday Financials data migration, transformation, validation, and optimisation. Lead tenant-to-tenant migrations, design conversion templates, develop ETL and reconciliation tools, validate loaded financial data, and collaborate with clients and project teams throughout implementation.