Top Data Jobs in London

Build and lead a global reliability and technical assurance function for Vantage's data center fleet. Define fleetwide reliability baselines and risk models, perform technical inspections across electrical, mechanical, controls and commissioning, drive corrective actions and closed-loop learning, establish standards, executive reporting, and scale a central assurance team.

Serve as the Owner's Representative MEP Project Manager for a large data centre, leading planning, coordination, installation, commissioning, and handover of mechanical, electrical and public health systems. Manage MEP subcontractors and vendors, integrate works with commissioning and controls teams, track programmes and budgets, mitigate risks, ensure compliance with design, contracts and regulations, and drive safety, quality and delivery excellence.

Lead data operations and governance for influencer campaigns: manage complex campaign configurations, ensure data quality and naming conventions, troubleshoot issues, build custom BI queries/dashboards, improve processes, support proprietary platform (IBEX), and mentor junior team members.

Lead and grow an SRE team responsible for stateful/data layer platforms (YugaByte, Kafka, Elasticsearch, Redis, Spark) across multi-cloud Kubernetes environments. Set reliability strategy, collaborate with Engineering/Product/Security, drive observability, incident management, automation, hiring, onboarding, and technical decision-making to ensure resilient, scalable services.

Lead data operations and governance for influencer campaigns: manage complex campaign configurations, ensure data quality, troubleshoot issues, build and customize BI dashboards, optimise workflows, and mentor junior team members while supporting proprietary analytics platforms.

Lead a marketing science team to design and deploy advanced econometric and predictive models (MMM, Bayesian, ML) for media measurement, build scalable analytics frameworks, manage stakeholders, and drive methodological innovation and team development to optimize campaign performance.

Lead the design and execution of advanced technical solutions for hyperscale and enterprise clients in data centers and AI environments, ensuring efficient, scalable solutions align with customer needs.

As a Data Engineer, you'll build and optimize data platforms, create data pipelines, and implement ML infrastructure to support business insights and data service needs.

Lead innovation in experimentation and causal inference, mentor data scientists, and drive evidence-based product innovation at SIE.

Design, develop, and maintain data pipelines using Kafka; build infrastructure with Terraform; troubleshoot data engineering issues and collaborate with teams.

Drive go-to-market execution and growth for Support Services across regions. Lead lifecycle management from land to expand, align sales, services and partners, standardize offerings and operating models, track performance, mentor specialist communities, and support client engagement to increase adoption and long-term value.

Design, build and operate large-scale data ingestion, processing and distribution infrastructure. Lead architecture and technical design for real-time messaging, distributed storage, data processing and analytics workloads. Mentor engineers, enforce high engineering standards, and translate business requirements into scalable production systems.

As a Data Analyst at GoHenry, you will analyze data, present insights, and collaborate with teams to drive product enhancements. Responsibilities include A/B testing, building robust dashboards, and continuous improvement of data practices.

The Senior Data Privacy Analyst will provide expert advice on data privacy, manage assessments, ensure compliance, and support cross-border data transfer initiatives while fostering a data privacy culture.

Own end-to-end onboarding and normalization of external data into a standardized schema. Map client trade, market, and reference feeds to load-ready formats, coordinate with vendors and R&D, validate ingestions, maintain mappings, monitor feed health, and resolve schema gaps before production.

Lead COG Claims data strategy and delivery, building scalable data products, pipelines, and AI-ready assets. Partner with Claims Transformation and stakeholders to enable analytics, automation, RAG/AI Search, and enterprise ontologies. Manage Agile product teams, roadmaps, governance, and data quality to drive measurable business outcomes across global Claims.

Lead Nothing's data function from scratch: map priority use cases, design and build end-to-end pipelines connecting ERP, HRIS, app telemetry and trackers, own architecture and tooling choices, define data quality standards, and enable AI/LLM workflows to power business decisions.

Lead and deliver high-impact AI projects for life-sciences clients: define data science approaches, design robust software architectures, mentor junior data scientists, manage project delivery, build client relationships, and contribute to thought leadership.

Senior individual-contributor Principal Data Engineer to set technical direction and standards for scalable, secure national-scale genomic and clinical data platforms. Lead design and delivery of cloud/hybrid Lakehouse and event-driven systems, enforce governance, drive DataOps/DevOps practices, improve resilience and observability, evaluate tools, mentor engineers, and influence architecture across teams in a regulated healthcare/research environment.

Evaluate and onboard cross-asset market data feeds, maintain and enrich reference databases, improve data QA, liaise with vendors, produce analytics and reporting, support product development and client requests across TCA, venue analytics and trade surveillance.

Lead advanced statistical and machine learning analyses to generate actionable business insights; partner with cross-functional teams to design data-driven solutions; manage large datasets with strong governance; develop and maintain predictive models to forecast trends; communicate findings to stakeholders and stay current on industry technologies.

Embed in a 0-1 AI product team to drive product analytics: define success metrics, design experiments, own instrumentation, analyze funnels/cohorts, enable self-serve analytics, and build frameworks to connect product metrics to revenue.

Develop and deploy credit risk and behavioural models for US unsecured loans and credit cards using machine learning. Translate business problems into data questions, run experiments, implement models, monitor performance, and communicate results to stakeholders.

Design, build, and maintain scalable data infrastructure and pipelines to support BI/MI workloads. Manage ETL/ELT processes, optimize performance and availability, resolve data quality issues, enforce security and governance, conduct code reviews, mentor engineers, and collaborate with product, data science, platform, and business teams.

As a Data Engineer, you'll optimize the Data Lake and develop pipelines for data-driven decision-making, collaborating with Data Science for efficiency.