Top Data Jobs in London

Own and deliver the foundational data platform and core data products: translate strategy into shipped pipelines and products, establish product practices (intake, contracts, SLAs), manage roadmap and prioritization, produce high-quality requirements, and drive adoption and business impact across distributed engineering teams.

As a Data Architect, you'll lead traditional data architecture practices, provide technical guidance, manage a team, and engage with clients.

Lead integration of sustainability, climate resilience, and environmental risk management into early-stage hyperscale data centre development. Influence site selection, permitting, planning and design; coordinate environmental studies; engage regulators and stakeholders; provide technical leadership, regulatory intelligence and embed sustainability across project governance to future-proof the project portfolio.

Design and implement end-of-day market data sourcing, validation, modeling, and delivery for pricing and risk. Build Snowflake data models and ETL/ELT pipelines, integrate AWS SQS for data readiness, optimize performance, ensure data quality and auditability, and collaborate with Market Data and Risk teams.

Design, build, and operate scalable, secure data pipelines, warehouses, and streaming systems. Collaborate with Engineering, Data Science, Analytics, and Product to model data, evolve platform architecture, optimize tools, and support delivery while mentoring junior engineers and promoting best practices (CI/CD, testing, observability, IaC).

Lead design and development of core data storage, streaming, caching, and indexing platforms. Collaborate with cross-functional teams to deliver features, improve practices, mentor engineers, and present technical guidance to stakeholders while ensuring platform reliability and scalability.

Design, build and maintain ingestion pipelines and Databricks transformations; implement metadata-driven engineering, CI/CD, data testing and observability; evolve semantic models for reporting; lead and mentor a small engineering team and engage stakeholders to translate business needs into production-grade data products.

Analyze and integrate multiple data sources, build conformed data models, and create accessible Power BI dashboards and reports. Apply statistical techniques including regression, correlation, and significance testing to generate actionable insights. Clean and transform data using SQL, Python, Power Query, and M, while communicating findings to technical and non-technical stakeholders and recommending emerging visualization technologies.

Annotate and segment videos, write objective captions, label visually verifiable actions, and review AI-generated captions for accuracy and consistency. Specialists must follow detailed guidelines, maintain at least 95% benchmark accuracy, and complete a paid certification process involving training, platform practice, and five certification tasks before accessing ongoing production work.

Drive business development for Victaulic within the UK data centre market by identifying major projects, engaging owners and engineers, expanding account penetration, coordinating with regional and international sales teams, documenting opportunities in Salesforce, and planning activities to meet sales targets. Promote products through stakeholder engagement, presentations, and industry association participation. Frequent regional travel and overnight stays required.

Build, deploy, monitor and recalibrate credit risk machine learning models; perform data extraction, wrangling and feature engineering; detect data/model drift; improve decision explainability; optimise data pipelines and partner with product, engineering and operations to implement lending, acquisition and affordability strategies.

Own and scale the ingestion pipeline and backend abstractions for high-throughput AI tracing data. Optimize ClickHouse schemas and queries, operate Langfuse Cloud and self-hosted deployments, and build infrastructure-heavy features that enable product engineers to ship data-heavy capabilities.

Design, build, and maintain large-scale distributed data systems and pipelines for blockchain analytics. Ship production code, drive technical direction, mentor engineers, improve reliability, observability, and cost efficiency, and collaborate with product, data science, and intelligence teams.

Lead data science initiatives to enhance player engagement and business outcomes through machine learning solutions, collaboration, and technical leadership.

Manage HV electrical packages for hyperscale data centre construction across pre-construction, construction, and close-out. Coordinate contractors and owner-direct vendors, support bid and contract processes, track schedule and budget, drive value engineering, and ensure completion of close-out documentation and authority inspections. Significant international travel to Finland and familiarity with local legislation required.

Lead quality management for a large Nordic data centre construction project: develop and deliver the Quality Management Plan, coordinate client and contractor quality teams, manage on-site/off-site testing and Factory Witness Testing, oversee construction documentation via the client EDM system, ensure contract specification compliance, and promote a project-wide quality culture and induction training.

Own and scale strategies to grow Hearst UK's contactable audience via partnerships, affiliates, co-registration, competitions and paid media. Optimize lead generation through test-and-learn, ensure data capture and flows with CRM, engineering and product, manage partners and governance, and monitor data feed quality to drive subscription and marketing outcomes.

Lead and deliver data protection and privacy consultancy across public and private sector clients. Provide UK GDPR and international privacy advice, conduct DPIAs, RoPA, data mapping and compliance gap assessments, develop policies and governance frameworks, advise on AI governance and ISO standards, run client workshops, mentor junior consultants, and contribute to business development and practice improvement.

Lead Data Analyst responsible for advanced analytics, quantitative analysis, experimentation, and commercial modeling. Partner with Data Engineering to implement scalable pipelines, drive insights into decision-making, and embed customer research into operations. Mentor analysts, build data literacy, and influence cross-functional strategic and tactical decisions.

Join the Integration team to collect, validate, map and load high-volume financial data from clients into SteelEye's analytics platform. Engage stakeholders, resolve data queries, refine operational processes, and perform industry research to meet data quality metrics.

The Data Operations Support Analyst supports data feed utilization, demonstrating benefits to accounts, ensuring customer service, and resolving technical issues related to data feeds.

Serve as product-owner/business analyst for actuarial data and tools within the Global Data Office. Translate actuarial requirements into data engineering specs, lead Agile ceremonies, manage product backlog and roadmaps, align stakeholders, and ensure data governance, lineage, testing, and quality for actuarial reporting, reserving, and pricing use cases.

As a Senior Data Engineer, you will design and manage data ingestion pipelines, ensuring scalability, reliability, and quality of data for analytics and machine learning purposes. You'll collaborate with cross-functional teams to define data standards and governance while promoting self-service and standardization across the organization.

Lead a six-person engineering team owning event delivery and data pseudonymisation platforms. Set technical direction, ensure reliable delivery and on-call health, partner with product and stakeholders on roadmap, drive architecture, hire and grow engineers, and foster a culture of ownership and inclusion.

Own commercial strategy and operations for enterprise pharma and AI accounts: drive pilots-to-revenue, account expansion, pipeline management, pricing, forecasting, and deal strategy. Build cross-functional relationships, push deals through legal/procurement/IT, act as CEO counterpart to shape strategy and product roadmap, and be highly present in person with customers and at conferences.