Top Data Jobs in London

Lead end-to-end ownership of the data estate and delivery of large data transformation programmes. Manage stakeholders, vendors, budgets, SDLC, data platform architecture, compliance, and a cross-functional team to deliver Snowflake and relational database solutions aligned to business strategy, especially for insurance.

Lead cross-functional squads to define and execute data product strategy for life sciences. Drive high-throughput data pipelines, curation tools, data APIs, analytics, and GenAI solutions. Establish success metrics, QA frameworks, engage stakeholders, and align roadmaps with engineering and product teams.

Design, build and optimise scalable cloud-native data platforms and pipelines using Microsoft Fabric, Azure Databricks, Synapse and ADF. Implement ETL/ELT with PySpark and SQL, ensure data governance, performance, reliability, and collaborate with data scientists and engineers to deliver production solutions.

Lead product-focused analytics and experimentation to uncover growth opportunities, define KPIs, analyze user behavior and retention, quantify feature impact, and communicate data-driven recommendations to cross-functional stakeholders.

Lead design and deliver scalable, secure Azure-based data architectures for insurance platforms (Lloyd's marketplace). Translate business objectives into end-to-end solutions, provide architecture leadership across data platforms and integrations, drive strategy and innovation, support underwriting/claims/policy processes, create roadmaps and data storytelling, and manage stakeholder expectations and governance throughout projects.

Lead design and delivery of a secure, scalable Microsoft-based data platform and centralized reporting for financial and operational metrics. Build centralized data model, manage ingestion/transformation/semantic layers, develop Power BI dashboards, ensure compliance, and engage senior stakeholders to translate needs into technical solutions while driving adoption.

Owner of data stewardship and governance activities: implement data cataloguing, metadata standards, data quality metrics, business rules, remediation, and stakeholder engagement to ensure consistent, accurate data across teams.

The role involves collaborating with researchers and traders to design datasets, developing data pipelines, and optimizing data extraction processes.

Collaborate with traders and researchers to design and build robust data systems for trading analysis in a fast-paced environment.

Own the end-to-end data quality issue lifecycle, lead offshore analysts, liaise with UK stakeholders, partner with IT/Operations for fixes, drive preventive data quality improvements, and produce governance-ready reporting and dashboards.

Assist in implementing data governance frameworks and policies, ensuring data accuracy, creating data dictionaries, and contributing to data governance training and materials.

The Product Data Science Manager leads a team to deliver custom data insights, ensuring analytical excellence and client impact while collaborating with various stakeholders.

The Data Platform Engineer will scale and modernize the data lakehouse, build data products, write ETL processes, and support analytics across the business.

The Forward Deployed Data Solution Engineer works embedded within teams to ensure software quality, guide technical decisions, and design integration patterns, focusing on AI-enabled capabilities and data governance.

Support ledger migration and data lake cleanup by extracting, transforming, reconciling and validating large datasets. Develop and validate SQL queries, batch jobs and processing logic, perform regression testing, document mappings and validation rules, and collaborate with engineering, product and business teams to ensure production readiness and post-migration validation.

Design, build, and maintain scalable cloud-based data platform and ETL pipelines on Azure. Develop data models, ensure data quality, optimize performance, implement governance and security, and collaborate with stakeholders and data scientists to enable data-driven solutions.

Design, build, and maintain scalable batch and streaming data pipelines, internal tools, and APIs to support analytics, product features, and ML. Collaborate with product and engineering to improve data infrastructure, ensure reliability, testing, and observability in a cloud-native environment.

Partner with founders and cross-functional teams to analyze financial and operational data, build executive dashboards, create P&L and margin analyses, forecast and model unit economics, identify cost leaks, reconcile transactions, and present recommendations to improve profitability, cash flow, and business performance.

Lead marketing measurement: own attribution, incrementality testing, and media mix modeling. Design and analyze experiments, build repeatable templates and self-serve analytics, translate results into budget and growth recommendations, ensure data integrity, and embed AI tools into analysis workflows to measure pipeline and revenue impact.

The Forward-Deployed Data Analyst will engage with African Ministries of Health, build data management solutions, develop dashboards, and support public health decision-making.

As a Lead Data Scientist, you will set technical direction, ensure project delivery, manage client relationships, and mentor data scientists.

Lead the development of backend services for government clients, focusing on high availability and scalability, while collaborating in agile teams and maintaining deployment pipelines.

The Lead Data Architect will shape data strategy, design secure data architectures on AWS, mentor teams, and ensure compliance with regulations.

As a Curriculum Manager, you will manage the content development lifecycle, collaborate with instructors, and improve data science curriculum, ensuring technical accuracy and pedagogical effectiveness.

Build, optimise and stabilise AWS-based data pipelines (S3, Glue, Redshift, Lake Formation). Resolve technical debt, support the Architect on target-state design, collaborate with client engineering teams to transfer knowledge, and deliver production-ready platforms in regulated, high-volume gaming environments.