Top Data Jobs in London

Principal Data Engineer responsible for leading complex data architecture, cloud platform strategy, delivery performance, incident response, governance, and compliance. Serves as the primary technical advisor to clients, ensuring scalable, resilient, secure data platforms. Oversees team-of-teams execution, capacity planning, budgets, hiring, stakeholder communication, and mentorship while driving technical standards and long-term business value.

Own and develop Airalo’s marketing measurement capability, including attribution, data modeling, causal inference, geo experiments, and incrementality testing. Analyze campaign and market performance, quantify incremental CAC and ROAS, estimate channel saturation, and translate results into budget recommendations. Build reusable experiment tooling, establish measurement standards, maintain trusted data models, and influence Growth, Marketing, Acquisition, Finance, and senior stakeholders through clear evidence and uncertainty-aware analysis.

Drive product insights through data analysis, experimentation, A/B testing, dashboards, and statistical methods. Build robust data models using SQL and Python or R, translate complex findings into recommendations, and communicate effectively with technical and non-technical stakeholders. Support self-service analytics by training product managers, designers, and engineers to query data and build dashboards. Collaborate with UX Research and other insights teams to strengthen data-driven product decisions.

Interns will analyze financial, market, portfolio, and business data; develop prototypes, dashboards, visualizations, and analytical tools; support investment research; and evaluate AI agents and data applications. Tracks include Applied AI Engineering, Applied Data Science, and Investment Analytics. The role requires Python, data modeling, statistical analysis, clear communication, and the ability to solve open-ended problems in collaboration with developers and business stakeholders.

Lead complex telematics pricing investigations, root-cause analyses, and analytical projects using diverse datasets. Build and enhance pricing analysis tools, collaborate with developers to embed them, communicate findings to technical and business stakeholders, and coordinate pricing-change implementation and post-live validation. Support junior analysts and help strengthen analytics capabilities across the YouDrive pricing team.

Leads complex technology strategy and digital transformation consulting engagements for senior commercial and public-sector clients. Advises executives on AI, data, enterprise IT, cloud modernization, operating models, governance, sourcing, and transformation roadmaps. Provides programme assurance, benefits tracking, risk management, and execution oversight. Builds trusted client relationships, delivers measurable outcomes, and mentors consulting team members.

Lead complex pricing investigations and analytical projects for a telematics insurance pricing team. Perform data investigation, root-cause analysis, tooling development, pricing validation, and post-live review. Collaborate with developers to embed analytical tools, communicate findings to technical and business stakeholders, coordinate pricing changes, and support junior analysts. The role requires strong Python and SQL skills, end-to-end project delivery, and ideally UK motor or general insurance experience.

Leads a global data engineering team and drives delivery of the data roadmap. The role combines people management with hands-on work integrating local systems into global data solutions. Responsibilities include coaching engineers, ensuring high-quality delivery, evolving data architecture, and collaborating with engineers and stakeholders. Required expertise includes AWS services, data warehousing platforms, ETL tools, Python, and data modeling.

Lead the design, development, and optimisation of scalable data pipelines, platforms, and data lake infrastructure. Build transformations with DBT, Python, and SQL; improve ETL reliability and automation; guide cloud-native CI/CD delivery; and promote data engineering standards and governance. Mentor engineers, solve complex data challenges, and explore AI-enabled tools to improve productivity, quality, and reliability.

Build interactive data visualizations, maps, dashboards, and 3D experiences that turn complex energy data into clear narratives. Work independently with marketing, policy, press, leadership, and data science teams using React, Next.js, Mapbox, WebGL, and Blender. Own projects end to end, select appropriate visualization techniques, communicate insights effectively, and rapidly adapt to varied project requirements.

Leads JetBrains Air’s data science, analytics, and data engineering functions. Builds and develops multidisciplinary teams, establishes scalable data foundations and metric frameworks, drives experimentation, and delivers insights for product, marketing, acquisition, retention, and monetization. Partners with engineering and leadership on data strategy, infrastructure, machine learning capabilities, privacy, security, and responsible data use.

Apply mathematical, statistical, and machine learning techniques to insurance pricing problems. Work with pricing colleagues on analytical projects, communicate findings clearly, track actions, and develop coding, data science, commercial, and independent decision-making skills under senior guidance.

Own client marketing analytics work, including advanced analytics studies, measurement frameworks, experimentation roadmaps, and data storytelling. Lead client relationships, interpret cross-channel campaign performance, support marketing technology adoption, collaborate with agencies and media partners, and coach analysts. The role requires strong quantitative, client communication, digital marketing, and analytics skills, with experience across multiple digital channels and tools such as Excel and SQL.

Designs, builds, and optimizes scalable data pipelines integrating social, advertising, audience, platform, content, performance, and revenue data. Owns YouTube and Meta pipelines, ensuring reconciled finance-grade outputs. Develops analytics-ready datasets with BigQuery and dbt, maintains data quality, governance, monitoring, documentation, and security, and supports BI reporting. Collaborates with analysts and stakeholders to model data, automate processes, resolve issues, and adapt pipelines to changing APIs and schemas.

Develop and maintain performant kdb+ applications using q, collaborate with business users and project teams, analyze large-scale time-series data, produce reports, and support timely project delivery. The role also involves testing, stakeholder communication, mentoring junior developers, and contributing to continuous learning. Experience with Unix/Linux and capital markets is valuable, while Python, cloud platforms, AI tooling, and other time-series databases are bonus skills.

Lead client delivery of high-performance kdb+ solutions for capital markets. Design scalable architectures handling billions of time-series data rows, collaborate with quants and traders, write and maintain production code, and mentor engineers. Translate business needs into performant systems while driving technical innovation across kdb+, q, and related technologies.

Develop and maintain high-performance kdb+ applications for financial-market clients. Responsibilities include gathering requirements, coding, testing, supporting project delivery, analyzing real-time and historical time-series data, producing reports, collaborating with clients and project teams, and mentoring junior developers.

Lead technical delivery of high-performance kdb+ solutions for capital markets clients. Design scalable architectures for large-scale time-series data, collaborate with quants and traders, develop and maintain client applications, mentor engineers, and drive innovation across kdb+, q, and related technologies.

Leads legal data intelligence initiatives by applying litigation and discovery expertise to evaluate generative AI systems. Develops benchmarks and testing frameworks, collaborates with scientists, product managers, designers, engineers, and enablement teams, gathers client feedback, and explains AI capabilities to legal professionals. Creates training and documentation for legal data intelligence workflows and best practices.

Build and maintain scalable ETL/ELT pipelines, data warehouses, data lakes, and reliable data platforms for public-sector digital services. Ensure data quality, security, governance, and performance while collaborating with architects, analysts, and developers. Troubleshoot data issues, document processes, and optimize workflows. The role is mostly remote with weekly attendance at the Newcastle office and requires SC clearance or eligibility.

Own enterprise customer programs from contract signature through expansion, leading delivery teams, milestones, stakeholder communication, adoption, and change management. Partner with sales and customer success to scope engagements, identify expansion opportunities, and translate executive goals into executable AI implementation plans. Serve as the customer advocate internally while guiding solutioning across model development, deployment, governance, and enterprise data science workflows.

Lead technical design and delivery of an Azure data platform using Databricks and Data Vault. Develop transformation logic, maintain enterprise data models, ensure efficient and reliable processing, lead complex unit and integration testing, support GDPR-compliant solutions, and maintain data governance artifacts. Collaborate with architects, source-system experts, stakeholders, and the BI Center of Excellence while providing technical leadership, knowledge transfer, and problem-solving across complex data initiatives.

Own marketplace product data quality and discoverability across product information, taxonomy, content, images, compliance, and marketplace feeds. Maintain marketplace requirements, map PIM data, run quality checks, resolve feed errors and suppressions, and track products through launch and sales. Diagnose poor visibility or conversion and coordinate root-cause fixes with business and content teams. Support SEO, marketplace search ranking, structured data, and AI-driven commerce initiatives.

Leads complex cross-functional strategy and transformation initiatives from problem framing through recommendation, mobilization, execution, and value realization. Designs operating models, evaluates commercial and technology opportunities, develops executive recommendations, aligns senior stakeholders, and supports measurable organizational change. The role also improves strategy realization methods, develops reusable capabilities, and experiments with AI-enabled ways of working.

Design and develop cloud-based data platform solutions, including data pipelines, ingestion, transformation, cleansing, integrations, and data applications. Translate technical requirements into detailed designs, write reliable code, develop test automation, troubleshoot operational issues, tune batch and real-time processing, secure cloud data platforms, and implement CI/CD and monitoring. The role also involves advising client developers and defining efficient operational processes.