Top Data Jobs in London

Lead planning, scheduling and coordination of data centre construction projects from inception to completion. Develop detailed project plans, allocate resources, identify risks and bottlenecks, produce progress reports, and collaborate with contractors, engineers and clients to ensure timely, on-budget delivery.

Deliver geospatial analysis and visualisations for transport projects using GIS tools. Analyse spatial and non-spatial datasets, build maps, dashboards and web mapping tools, automate workflows, present findings, and support client relationships and business development within multidisciplinary teams.

Analyze and process very large business datasets using data mining and analytical techniques to uncover patterns and insights. Support business decision-making by identifying problems and discovering growth or efficiency opportunities.

Design, build, and maintain scalable ETL/data pipelines and storage to support analytics and ML across international markets. Ensure data quality, compliance (e.g., GDPR), monitoring, and automation. Collaborate with data scientists, product teams, and stakeholders to deliver reliable datasets and contribute to the data infrastructure roadmap. Onsite in London.

Identify, evaluate and onboard high-quality datasets for systematic funds and capital markets. Own and publicise the internal data catalogue, build provider relationships, and contribute to firm-wide data strategy.

Design and own scalable, secure data architectures and pipelines. Translate business needs into technical designs, set standards, guide engineering teams, ensure performance, reliability, security, CI/CD, and maintain architectural documentation across global teams.

Provide administrative support for deeds management and data site administration. Responsibilities include provisioning and auditing data site access, creating and organising data site folders, uploading and retrieving documents, scheduling and tracking deeds (using digital tracking systems), maintaining physical and offsite deed storage records, conducting audits, and general team administration. Collaborate with lawyers, paralegals, and Products & Solutions to ensure compliance and efficient workflows.

Measure product and commercial impact using experimentation, quasi-experimental and observational causal inference. Design experiments, apply statistical and ML methods, build reusable analytics, partner with product and engineering, and communicate insights to stakeholders to support evidence-based decisions.

As Senior Product Manager, you'll manage the product roadmap, engaging with healthcare professionals and driving cross-functional execution in a high-growth tech environment.

Partner with AI engineering teams to develop metrics, design driving experiments, analyze real and simulated driving data, and identify improvements to the Wayve AI Driver’s functionality, safety, and performance. The role requires advanced statistical analysis, production SQL, data visualization, actionable insight generation, and cross-functional influence. Experience with machine learning, causal inference, Bayesian methods, and distributed computing is desirable.

Work with stakeholders to build data products, dashboards and models that inform commercial decisions. Analyse complex datasets (rental income, costs, market data), create reusable data models, measure adoption/KPIs, and communicate insights to technical and non-technical audiences while collaborating with data engineers and governance teams.

Own and expand relationships with hyperscale, cloud, and AI infrastructure customers across Europe and the Middle East. Originate and close large-scale data center opportunities, lead complex commercial negotiations, secure contracted capacity, and shape development strategy around customer needs. The role oversees executive customer relationships, regional MW bookings, strategic account plans, and €1bn+ developments while partnering with engineering, construction, finance, investment, and legal teams. It also includes recruiting and leading a high-performing commercial organization.

Analyze GIS and operational data, evaluate drone manufacturers, develop BVLOS regulatory documentation, improve flight safety procedures, support bespoke technical systems, and guide drone projects from concept through execution. The role also monitors aircraft performance and availability, manages OEM relationships, and translates technical findings for business audiences through presentations and workshops.

Lead complex data and analytics workstreams while designing scalable solutions with SQL, dbt, Python, and modern data platforms. Drive data modeling, testing, CI/CD, documentation, reliability, and incident resolution. Partner with Product, Analytics, Technology, and Data Platform teams to deliver trusted data products, reporting, and commercial insights. Mentor engineers, delegate effectively, influence stakeholders, and help shape technical strategy and roadmaps.

Leads the Finance and Accounting data engineering team, owning the roadmap and delivery of scalable data pipelines, platforms, integrations, and automation. Partners with Finance, Accounting, Compliance, and Engineering to build reliable, auditable systems supporting financial reporting, reconciliation, revenue recognition, close workflows, and SOX controls. Manages and mentors engineers while driving improvements in data accuracy, pipeline reliability, scalability, audit readiness, and close-cycle efficiency.

Lead data migration strategies and implementation across hybrid cloud environments, design data pipelines, and optimize scalable systems while collaborating on AI projects.

The Staff Engineer will define architecture, lead data pipeline design, ensure platform reliability, and mentor engineers, driving data initiatives and technical standards.

As an Engineering Manager, lead a data engineering team to enhance Yuno's data platform, ensuring reliable processing of payment events, guiding technical decisions and cultivating a strong team culture.

The Lead Architect, Cloud will design and implement Azure data platforms, establish CI/CD processes, and mentor engineering teams, ensuring effective architecture and technical delivery across projects.

The Data Scientist (Product Analytics) will develop product analytics, improve data quality, conduct A/B tests, analyze user behavior, and collaborate with cross-functional teams to inform product strategies and enhance user engagement.

The Client Growth Director leads business development in public sector data analytics, identifying opportunities, crafting proposals, and overseeing bid management while coordinating cross-functional teams.

Lead a 12-month project to consolidate multiple data sources, identify root causes of order damages, and build statistical and machine-learning models. Deliver actionable insights, visualisations and reports to influence stakeholders, implement corrective actions, and mentor other data scientists.

The Senior Software Developer will design, develop, and optimize cloud-based low-latency data processing systems while collaborating with analysts to implement trading strategies.

As a Senior Data Engineer at Simple Machines, you'll lead the design and build of cloud-native data platforms and pipelines, ensuring high performance and compliance while consulting directly with clients to deliver effective data solutions.

Lead end-to-end LLM and ML initiatives to improve invoice understanding, matching, reconciliation, anomaly detection, and user assistance. Own model development, evaluation, monitoring, productionization with platform/data engineering, and stakeholder adoption.