Top Data Jobs in London

Own and improve quantitative financial datasets supporting research and investment workflows. Design schemas, databases, pipelines, and DAGs; extend historical and high-frequency coverage; onboard and reconcile vendor data; and build automated validation, monitoring, dashboards, and investigation tools. Diagnose anomalies, resolve root causes, document standards, and collaborate with quantitative researchers, portfolio managers, vendors, and distributed global teams. The role requires substantial buy-side investment data experience, strong Python and SQL, and expertise in financial data quality.

Supports Aptia’s data privacy framework by advising on UK GDPR and broader data protection compliance, conducting DPIAs and privacy risk reviews, maintaining processing records and documentation, performing data mapping and gap assessments, supporting data subject requests and breach management, delivering privacy training, monitoring regulatory developments, and promoting privacy by design across the business.

Designs and delivers technical components for modern data solutions, including data ingestion, streaming, distributed data applications, data stores, and cloud data platforms. The role owns architecture, estimation, technical standards, production readiness, and solution design. It involves client communication, pre-sales contribution, timeline management, and coaching team members. Candidates need strong Java, Scala, or Python skills, experience with AWS, Azure, GCP, or Databricks, and expertise in data integration and contemporary data architectures.

The Senior Data Analyst will support global philanthropy and high-value fundraising through data analysis, statistical modeling, reporting, dashboards, and visualization. The role translates complex findings into strategic recommendations, informs donor engagement and retention strategies, partners with fundraising, marketing, and finance teams, and presents insights to senior leadership. Responsibilities also include improving data processes, developing benchmarking models, promoting analytics best practices, and serving as a technical leader across analytics projects.

Drive new-logo acquisition and existing-account growth for Data and AI professional services. Build pipeline through outbound activity, partners, networking, and inbound qualification; lead consultative solution development, proposals, pricing, RFPs, negotiations, and sales closure. Collaborate with pre-sales, technical consultants, marketing, and partners including Microsoft, Databricks, and AWS to develop customer solutions and go-to-market opportunities.

Lead and develop a pod of Data Engineers while remaining hands-on in designing scalable data platforms, pipelines, transformations, and data products. Guide data modelling, warehousing, ETL/ELT, testing, observability, automation, and engineering quality. Collaborate with technology and business teams to solve complex data challenges and explore AI-enabled improvements. The role may involve AWS, Snowflake, Spark, Scala, Airflow, Git, and CI/CD.

Lead the implementation and continuous improvement of data governance and data quality frameworks across London Market syndicates. Establish policies, standards, ownership models, data inventories, quality controls, metrics, reporting, and issue remediation processes. Partner with business and technology stakeholders to support regulatory compliance, operational effectiveness, and strategic decision-making. Chair governance committees, guide Data Stewards, manage governance initiatives, and provide updates to senior management and the Board.

Manage strategic data centre accounts across the UK and Ireland, including hyperscalers, colocation providers, enterprises, contractors, and consultants. Responsibilities include generating new business, expanding relationships, developing pipelines, prospecting, negotiating, translating cooling technologies into business value, and coordinating with engineering, operations, and project management teams through commissioning.

Build and maintain scalable ETL pipelines, data models, ingestion processes, and optimized data products using Azure Databricks and related Azure services. Develop raw, refined, and curated data layers, implement testing and secure ETL designs, monitor pipeline performance, resolve incidents, document solutions, and participate in Agile delivery and governance. Collaborate with architects, analysts, engineers, and stakeholders on modern data platform development.

Lead data science for Wise’s AML Risk team by developing machine-learning and GenAI detection systems, optimizing precision-recall tradeoffs, building coverage frameworks, and deploying production Python services. Hire and mentor specialists, collaborate with product, engineering, and operations teams, design model evaluation experiments, improve operational processes, and create investigator insights for detecting financial crime across global transactions.

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.

Designs, develops, and maintains data pipelines, models, dashboards, and cloud infrastructure across Google Cloud and Microsoft Azure. Integrates marketing, sales, ecommerce, and CRM data using BigQuery, Power BI, SQL, Python, and R. Performs exploratory analysis, automates data workflows, improves data quality, and delivers actionable insights to stakeholders across Canon’s EMEA business.

Designs and maintains scalable ETL and ELT pipelines, data architectures, databases, and warehouses. Integrates data from APIs and third-party platforms while ensuring quality, security, governance, and reliability. Monitors workflows, improves processing and query performance, supports analytics and business intelligence initiatives, and documents technical processes. Collaborates with analysts, engineers, data scientists, and business stakeholders in a fully remote environment.

Build AI-ready data infrastructure by designing event tracking plans, developing dbt models, and managing ingestion pipelines into Snowflake. Own data quality, metric definitions, documentation, semantic layers, and reporting consistency across Amplitude and Snowflake. Orchestrate workflows with Airflow and collaborate with product, engineering, and analytics teams to deliver reliable data products.

Senior client-facing consulting leader for Energy & Infrastructure who originates and leads AI- and data-enabled transformation engagements across UK/EMEA. Drives go-to-market, shapes solutions from discovery through delivery, leads multidisciplinary teams, owns P&L and pricing, and grows pipeline, revenue and margins while delivering measurable operational and commercial value for E&I clients.

Analyzes complex insurance pricing, delegated authority, and exposure datasets; profiles data, evaluates models, creates source-to-target mappings, documents lineage and definitions, performs quality checks and reconciliations, identifies gaps, and translates findings into requirements and recommendations for business, engineering, and technology teams.

Leads development of secure, scalable data platforms supporting batch, streaming, ML, and LLM workloads. Designs distributed data systems using Spark, Ray, Kafka, Iceberg, and OpenSearch; productionizes model training, deployment, monitoring, and lifecycle management; and builds governed LLM solutions. Provides technical leadership, code review, incident response, vendor evaluation, responsible AI guidance, automation, and mentorship across engineering teams.

Advises Cisco on privacy, data protection, AI governance, and digital regulations across EMEA. Responsibilities include GDPR compliance, privacy-by-design reviews, DPIAs, international data transfers, AI Act and NIS2 guidance, customer data agreements, regulatory inquiries, and employee privacy matters. The counsel also partners with product, government affairs, legal, HR, and works councils to manage regulatory risk and enable commercial activity.

Lead mechanical engineering delivery for complex data centre projects, designing resilient cooling, ventilation, automation, controls, and ancillary systems. Coordinate with electrical engineers and clients, supervise technical work, produce detailed designs, manage resources and deadlines, and support client relationships. The role requires experience with mission-critical systems, accredited engineering education, progress toward IEng or CEng status, and proficiency with CAD, BIM, and digital design tools.

Lead large-scale, ground-up data center construction projects across Europe 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.

Lead large-scale, ground-up data center construction projects across Europe from conception through commissioning. Responsibilities include project strategy, governance, planning, procurement, quality and safety management, cross-functional team leadership, performance monitoring, change control, financial oversight, client communication, and formal reporting.

Leads large-scale, ground-up data center construction projects across Europe from conception through commissioning. Responsibilities include strategic advisory, project planning, governance, quality and safety management, procurement, cross-functional team leadership, KPI monitoring, change control, financial oversight, reporting, and client engagement. Requires construction consultancy experience, professional qualifications, chartered status or progression toward it, comprehensive project lifecycle knowledge, and strong project management and communication skills.

Owns HPE Alletra Storage MP X10000 sales across the UK, Saudi Arabia, and UAE. Develops the regional business plan, builds pipeline, leads strategic pursuits, and positions HPE data solutions for HPC and AI customers. Engages C-level buyers, partners, ISVs, GSIs, and channel teams; drives consultative sales, competitive strategy, forecasting, enablement, and revenue growth. Requires extensive storage solution sales experience, strong technical and commercial expertise, project management skills, and willingness to travel across the region.

Leads insurance data, analytics, and AI growth across the UK market. Owns business development, account strategy, solution design, proposals, executive relationships, and delivery oversight for large programs. Advises insurers on AI use cases, cloud data modernization, governance, and responsible AI while managing commercial outcomes, client satisfaction, and global delivery teams. The role also develops thought leadership, market propositions, and practice talent.

Graduate consultants will support data, technology, and transformation engagements by analyzing business and technical issues, defining data requirements, identifying improvements, and delivering client-focused solutions. The role involves stakeholder collaboration, problem solving, data analysis, and contributing to transformation projects across data services, technology strategy, process automation, and finance transformation.