Top Data Jobs in London

Analyse complex public-sector datasets, build statistical and machine-learning models, assess data quality, create visualisations, and communicate insights to technical and non-technical stakeholders. The role involves reproducible coding, collaboration with data engineers and product teams, responsible AI practices, and influencing policy and service decisions.

Designs conceptual, logical, and physical data models for complex public sector services. Defines data standards, identifiers, reference data, integration patterns, APIs, governance, quality, lineage, and metadata approaches. Ensures data architectures meet security, privacy, and UK GDPR requirements, produces architecture artefacts and roadmaps, collaborates with multidisciplinary teams, and advises senior stakeholders through technical governance.

Analyze complex public sector datasets, build statistical and machine learning models, assess data quality, and create visualizations and reports. Collaborate with data engineers, architects, researchers, designers, and product managers to deliver reproducible, ethical analysis. Explain technical findings clearly to senior stakeholders and influence policy, product, and service decisions.

Designs conceptual, logical, and physical data models for complex public-sector services. Defines data standards, identifiers, interoperability, data-sharing approaches, governance, quality, lineage, and metadata. Designs data flows, integration patterns, and APIs while ensuring security, privacy, and UK GDPR compliance. Produces architecture documentation, supports technical governance, advises senior stakeholders, and collaborates with product, research, analysis, and engineering teams.

Designs, builds, and reverse engineers data models, metadata systems, and scalable data platforms for asset management. Translates business needs into logical and physical models, supports delivery teams, and advises architects and engineers. Responsibilities include data profiling, governance, data dictionaries, information standards, architectural oversight, and semantic modeling in Snowflake for AI and Power BI. The role also requires stakeholder engagement, participation in governance forums, and support for multiple agile projects.

Develop evidence-based priorities for legal data sources and jurisdictions, translate client demand and usage data into investment recommendations, build business cases, and establish Legal Data’s operating model. Own planning, reporting, tooling, onboarding, playbooks, and partner operations from agreement through live content. Coordinate cross-functional initiatives across Legal Data, Product, Engineering, Growth, and Legal in a global individual-contributor role.

Lead mechanical delivery for hyperscale and co-location data centre projects across UK/EMEA. Drive technical excellence, client relationships, work-winning, team leadership, and project financial management for mission-critical environments.

Leads multidisciplinary technical design teams delivering complex hyperscale, colocation, and enterprise data centre projects across Europe. Oversees projects from site due diligence and campus planning through detailed design and construction documentation, ensuring quality, compliance, risk mitigation, and timely delivery. Manages client relationships, presentations, permitting coordination, commercial governance, and collaboration across regional delivery teams. Regular travel across UK&I and Europe is required.

Leads AECOM’s EMEA data centre mechanical engineering team, overseeing technical delivery, project standards, quality, schedules, resources, risk, KPIs, and commercial performance. The role includes client management, business development, work winning, programme oversight, thought leadership, and team development across hyperscale and co-location data centre projects. Candidates need extensive mechanical project delivery experience in mission-critical environments, strong commercial and leadership capabilities, a relevant degree, and Chartered Engineer status.

Leads AECOM’s EMEA data centre mechanical engineering team, overseeing technical delivery, standards, quality, project programmes, risk, commercial performance, and client outcomes. The role combines mechanical engineering leadership with business development, work winning, client management, team development, thought leadership, and strategic delivery across hyperscale and co-location data centre projects. Candidates need strong data centre and mission-critical experience, commercial acumen, client-facing capability, relevant degree, and Chartered Engineer status.

Lead mechanical delivery for hyperscale and co-location data centre projects across EMEA. Act as sector ambassador, drive technical excellence, win work, manage project financials, lead teams, and ensure high-quality mechanical design and client engagement for mission-critical environments.

Leads electrical engineering design and project delivery for hyperscale and colocation data centres. Responsibilities include managing multidisciplinary teams, producing designs and technical documentation, planning and cost control, client and contractor liaison, site inspections, feasibility studies, reporting, proposals, and mentoring engineers. The role requires chartered-level expertise, data centre or industrial facilities experience, knowledge of relevant standards, and occasional regional and international travel.

Leads electrical design and delivery for data centre projects from feasibility through commissioning and handover. Defines power architectures, conducts power systems studies, integrates monitoring and controls, ensures standards compliance, and embeds resilience, energy efficiency, and decarbonization. The role also leads technical teams, coordinates multidisciplinary interfaces, develops client relationships, wins work, manages project financials, and represents AECOM across the EMEA data centre market.

Leads multidisciplinary design teams delivering complex hyperscale, colocation, and enterprise data centre projects across Europe. Oversees projects from site due diligence and campus planning through detailed design and construction documentation, ensuring quality, compliance, risk mitigation, and timely delivery. The role manages client relationships, stakeholder presentations, permitting coordination, commercial governance, and collaboration across regional delivery teams. Regular travel across UK&I and European offices is required.

Leads mechanical engineering design and delivery for complex data centre projects across multidisciplinary teams. Acts as a technical leader for AECOM’s EMEA data centre practice, supporting hyperscale and co-location clients, thought leadership, and strategic growth. Responsibilities include managing multiple projects, coordinating teams across geographies, applying permitting and regulatory knowledge, overseeing construction methodologies, meeting deadlines, and contributing to digital design workflows using Revit.

Lead electrical design and technical delivery for hyperscale and mission-critical data centre projects across the UK and EMEA. Own designs from feasibility through commissioning, validate power architectures, conduct power systems studies, integrate controls and monitoring, ensure code compliance, and coordinate multidisciplinary teams. The role also includes mentoring, client engagement, business development, work winning, commercial management, quality assurance, and delivering resilient, efficient, low-carbon solutions.

Build and maintain batch and streaming data pipelines for the QiCore warehouse. Migrate acquired-business data, model datasets for analytics and reporting, and ensure reliability through monitoring, testing, governance, and data-quality practices. Support platform migrations and future acquisitions by creating repeatable processes. The role requires production SQL and Python, GCP ecosystem experience, cloud data-platform expertise, orchestration, version control, and collaborative engineering practices.

Lead SheMed’s company-wide data strategy, infrastructure, governance, analytics, experimentation, and clinical research insights. Build scalable pipelines, reporting systems, dashboards, and data architecture across product, clinical, operational, marketing, and finance data. Analyze treatment outcomes, retention, churn, LTV, and customer behavior while supporting A/B testing, personalization, and AI initiatives. Partner with founders and cross-functional leaders, establish a data-driven culture, and build the data team as the company grows.

Lead data analytics for Treasury Operations by analyzing performance, automating processes, building dbt data models, and maintaining Lightdash dashboards. The role supports corporate treasury and banking-partner decisions, translates business needs into analytical solutions, collaborates across finance and engineering, and mentors analysts while ensuring accurate, reproducible work.

Own Conveo’s end-to-end data stack, including BigQuery, dbt, Cube, and Metabase; establish trusted metrics, governance, access controls, and scalable analytics foundations. Partner with business and engineering leaders to deliver actionable insights, improve dashboards, and enable reliable AI-assisted analysis. As the first data leader, hire and develop the data team while laying the groundwork for future machine learning and data science capabilities.

Develop and integrate statistical and machine learning sports models for DraftKings’ Sportsbook platform. Responsibilities include engineering sports data assets, implementing models and pricing engines in Python, testing data flows and integrations, supporting CI/CD quality practices, collaborating across Trading, Product, Engineering, and QA, and mentoring junior data scientists.

Develop and support an enterprise Microsoft Fabric data platform. Build reliable data pipelines, dimensional models, dbt transformations, Power BI reports, dashboards, and semantic models. Lead data engineering priorities, establish Power BI governance and delivery standards, maintain data quality and security, support integrations, monitor platform developments, and collaborate with business stakeholders. The role also includes training colleagues and occasional travel to regional offices.

Lead the data and analytics team, establish technical and governance standards, and deliver Power BI reports, dashboards, semantic models, and data solutions. Guide data engineering, pipelines, integrations, data quality, security, and performance across Microsoft Fabric and Power BI. Partner with stakeholders to prioritize delivery, train technical colleagues, and recommend relevant Fabric capabilities. Occasional travel to UK regional offices is required.

Ensures information security controls are designed, tested, effective, and aligned with business risk. Responsibilities include maintaining ISO-aligned security management systems, conducting risk and supplier assessments, coordinating audits and remediation, managing compliance metrics, supporting incident response, governing security forums, and advising stakeholders on cyber risk, data protection, vulnerabilities, and regulatory requirements.

Owns the full sales lifecycle for complex Google Cloud, data modernization, and enterprise AI initiatives. The role carries direct quota responsibility, develops executive-level business cases, co-sells with Google Cloud teams, structures complex commercial agreements, penetrates enterprise accounts, and manages forecasting and pipeline progression. Candidates need significant enterprise technology sales experience, Google Cloud partner ecosystem expertise, AI and cloud fluency, complex negotiation skills, and mastery of structured sales methodologies.