Top Data Jobs in London

Supports enterprise data governance and quality by mapping data flows, documenting processing activities, maintaining business glossaries, defining quality rules, assessing data controls, reporting weaknesses, and producing stakeholder and regulatory reports. The role partners with business and IT leaders, data owners, stewards, and subject-matter experts to promote compliance with AIG data policies, GDPR, and other privacy requirements.

Create persuasive, on-brand copy across advertising, CRM, digital, web, social, video, and campaign communications. Develop creative concepts with designers and stakeholders, adapt messaging for varied audiences and channels, champion brand tone of voice, and use customer insight, testing, and performance data to improve effectiveness. Present recommendations and collaborate with marketing, product, legal, and compliance teams to deliver clear, engaging communications in regulated or complex environments.

Lead Data Scientist responsible for designing, implementing, and deploying liquidity management and risk models. Work with Treasury, engineering, and product teams to forecast supply and demand, optimise cash placement, prepare stress scenarios, and present model results to stakeholders to keep liquidity risk within appetite.

Lead a Treasury Global Liquidity data engineering team to design and deliver real-time liquidity observability, scalable event-driven systems, automated investment and risk tooling, and analytics/ML collaboration. Define technical strategy, partner with product and stakeholders, mentor engineers, and ensure resilient, high-performance data platforms that optimise cash management and customer experience.

Lead HR data privacy for workforce data across EMEA, overseeing DSARs, privacy incidents, DPIAs/LIAs, and ROPA. Partner with Legal, Compliance, Privacy, Cyber and Technology Controls to set guardrails, manage risk-based escalation, and advise senior stakeholders on regulatory compliance and data protection best practices.

The Client Partner will manage and grow strategic client relationships, primarily in the public sector, and drive account growth through strategic business development and client satisfaction.

Oversee the design, implementation, administration, security, and reliability of enterprise backup systems across EMEA. Monitor backup performance, maintain SLAs and KPIs, implement IT risk controls, manage privileged access, support restoration requests, and ensure BCP/DR readiness. Develop technology roadmaps, manage capacity and legacy systems, contribute to change programs and audits, advise development teams, document services, identify cost efficiencies, and mentor colleagues while deputizing for the Head of Storage.

Build and own scalable Azure data platforms, SQL Server and Databricks environments, end-to-end pipelines, and maintainable data models. Apply Kimball dimensional modeling, solve complex client data problems, challenge unclear requirements, and communicate technical concepts clearly to technical and non-technical stakeholders. The role emphasizes production reliability, client impact, continuous learning, and collaboration in a fully remote European data consultancy.

Build and maintain Azure-based data pipelines, warehouses, Data Vault and dimensional data marts using ADF, Azure SQL, and T-SQL. Develop Power BI datasets, semantic models, and reports; optimize stored procedures; investigate source systems; and implement data quality monitoring. The role also involves profiling datasets, validating business results, debugging data platforms, and collaborating with clients and a remote European team.

Lead large-scale, ground-up data center construction projects from conception through commissioning. Responsibilities include defining success criteria, project planning, governance, quality and safety management, procurement, cross-functional team leadership, KPI monitoring, change control, financial oversight, client communication, and progress reporting.

Leads large-scale, ground-up data centre construction projects across Europe from conception through commissioning. Responsibilities include strategic advisory, project governance, planning, procurement, quality and safety management, team leadership, KPI monitoring, change control, financial oversight, reporting, and client and consultant coordination.

Lead large-scale data center construction projects from conception through commissioning. Responsibilities include defining success criteria, project planning, governance, quality and safety management, procurement, team leadership, KPI monitoring, change control, financial oversight, client communication, reporting, and consultant coordination. Candidates should have construction, project management, engineering, or architecture credentials, chartered status or progress toward it, strong project lifecycle knowledge, and construction-sector experience.

Leads Wayve’s data strategy for autonomous-driving AI, including data acquisition, discovery, curation, enrichment, training, evaluation, deployment, and performance measurement. Builds the data flywheel, identifies rare and safety-critical scenarios, connects data investment to model outcomes, scales global data architecture, and leads a multidisciplinary Data organization. Partners with AI, Science, Validation, Product, Compute, Finance, and Commercial teams.

Develop and maintain Power BI dashboards, analyze global procurement spend and cost data, identify savings opportunities, review bills of materials and indirect costs, and communicate insights to procurement, finance, and senior leadership stakeholders.

Own the strategy, roadmap, lifecycle, performance, and commercial success of YouGov’s BrandIndex syndicated data product. Lead discovery, development, launch, optimization, and retirement while partnering with engineering, data science, research, marketing, and commercial teams. Use customer, market, usage, and commercial insights to prioritize improvements, build business cases, and drive scalable product growth. Serve as the organizational subject matter expert and communicate product direction, risks, and trade-offs to senior stakeholders.

Develop and deploy scalable machine learning and mathematical optimization models for Walmart’s inventory decision systems. Responsibilities include data exploration, feature engineering, model validation, data quality assessment, visualization, governance, and production readiness. The role translates complex inventory and business requirements into automated, data-driven decisions while collaborating with engineering, product, and business stakeholders.

Maintain accurate master data across customer and internal systems, manage product catalogues, pricing, logistics and promotional data, and support product launches. Serve as the Microsoft Dynamics Navision ERP key user by providing first-line support, troubleshooting issues and driving improvements. Manage EDI integrations, resolve transaction problems, and coordinate system testing, upgrades, UAT and enhancement projects across European stakeholders.

Lead data privacy and governance initiatives: perform technical privacy reviews, maintain end-to-end data mapping and ROPA, run compliance scans, support DSARs and regulatory responses, enforce governance standards, and partner with Engineering, Product and Legal to remediate privacy gaps.

Leads client-facing data engineering delivery using Databricks and cloud platforms. Develops batch and streaming pipelines, designs lakehouse and medallion architectures, models and optimizes data with Delta Lake, and establishes governance, security, quality, and CI/CD practices. Collaborates with architects, engineers, analysts, and executive stakeholders while mentoring engineering teams and contributing reusable technical assets and best practices.

Manages ESG investment data operations globally, ensuring accuracy, timeliness, quality, controls, and regulatory readiness. Investigates data issues, resolves exceptions, partners with stakeholders and external suppliers, maintains governance documentation, monitors operational risk, and supports audits and technology change initiatives. Uses SQL, Python, and Excel to analyze datasets, automate processes, strengthen controls, and improve ESG data services.

Partner with senior Data leaders to develop talent acquisition strategies and recruit Data Scientists, Data Engineers, and Bioinformaticians. Source passive candidates, manage pipelines and interview processes, provide hiring-market insights, improve recruitment processes, use data to measure outcomes, and deliver excellent candidate experiences. The role also supports employer branding, events, interview training, reporting, and inclusive hiring practices in a hybrid London environment.

Lead design, deployment, and adoption of a Starburst (Trino) data virtualisation platform. Implement Trino clusters, integrate data sources (Snowflake, databases), ensure security and governance, optimise distributed queries, enable AI adoption, and drive platform operational readiness and documentation.

Partner with account executives and architects to win digital-native customers across the UK and Ireland. Lead hands-on evaluations, proofs of concept, technical demonstrations, and competitive positioning for Databricks’ data and AI platform. Engage engineers, founders, and executives; communicate technical and commercial value; develop customer-facing collateral; and support workshops and technical community events. The role requires regular London office attendance and approximately 20–30% travel across the region.

Lead end-to-end technical strategy for customer accounts, from discovery through deployment and platform adoption. Design scalable solutions across data engineering, machine learning, AI, streaming, real-time analytics, and lakehouse architectures. Advise senior technical stakeholders, lead architecture discussions, build demonstrations, drive competitive technical wins, coordinate internal and partner resources, and provide product feedback. Develop a technical specialization and communicate complex architectures as business value.

Drive pre-sales technical engagements for Databricks, demo Spark and cloud integrations, design reference architectures, build POCs, collaborate with Account Executives and Solutions Architects, and support customers across Data, ML and Generative AI use cases.