Top Data Jobs in London

As a Principal Database Engineer, you will architect scalable PostgreSQL solutions, ensuring data reliability, performance, and collaborating with teams to build a robust data platform for GitLab's growth.

Design, build, and operate a scalable internal database platform, focusing on YugabyteDB components. Lead initiatives and ensure security, reliability, and efficiency in database management.

As a Data Platform Engineer, you will develop and manage a cloud-based database platform, focusing on automation, reliability, and security across multiple environments, particularly using YugabyteDB.

Lead data strategy for the Credit Product team, manage data models, collaborate with stakeholders, and maintain high data quality in a fast-paced environment.

The Product Lead will drive the roadmap and vision for Wolt's payments infrastructure, collaborating with cross-functional teams to deliver scalable financial systems.

The Strategy Director leads the development of global communication and media strategies, advising local markets, and ensuring excellence in brand strategy across all channels.

Drive customer success by selling tailored service offerings, ensuring product adoption and value realization, while collaborating with sales and partners. Manage service sales pipeline and exceed quotas for implementation services and training.

As a Commercial Strategy Lead, you will shape and drive commercial strategies, develop go-to-market approaches, and lead cross-functional initiatives to unlock new growth opportunities.

As Head of Sales UK, lead a sales team, drive growth, mentor sellers, manage pipeline, and ensure strategic engagements in the Data and AI sector.

The Solution Director guides client growth by leveraging technical expertise to advise on solutions, ensuring alignment with business goals and overseeing project delivery.

Lead healthcare account growth with $30M+ portfolio, fostering relationships with NHS England and Life Sciences, driving consulting-led transformations and business development.

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.

The Associate Data Architect will enhance data architecture, support data flow analysis, translate business needs into data requirements, and manage stakeholder collaboration across teams.

The Data Quality & Controls Analyst will develop and maintain data quality solutions, oversee controls, collaborate across teams, and support regulatory compliance.

Lead Boku's transaction data transformation, ensuring enriched transaction lifecycles, compliance, and integration across finance and data platforms. Collaborate with stakeholders to define and deliver product vision and outcomes.

The Senior Data Engineer will design and implement data pipelines for fraud prevention, collaborate with teams, and ensure high quality code while participating in agile methodologies.

The Industry Data Analyst analyzes industry data, develops dashboards, and provides insights for strategic decisions, collaborating with multiple stakeholders.

Design, build and support an electronic FX Options data platform and fast pipelines for quantitative analysis. Collaborate with quants and traders to translate requirements, improve architecture, deployment, testing, and mentor developers.

The Head of Data Science will lead strategy, innovation, and excellence in data science, integrating analytics and econometrics to drive marketing effectiveness and client growth. Responsibilities include developing a Centre of Excellence, overseeing data infrastructure, and influencing C-suite decision-making.

Architect and develop data solutions for MUFG, driving innovation and automation while leading EDM team, ensuring compliance and high-quality deliverables.

The Data Excellence Manager will implement policies and best practices, create data standards, and manage data requirements for Amazon across EMEA.

As a Human Data Operations Strategist, you'll manage data annotation projects, optimize data quality, engage clients, train annotators, and drive product innovation within AI workflows.

The Lead Data Scientist will oversee the data science lifecycle, develop machine learning models, collaborate with teams, and support the evolution of the data science function at Swap.

Lead and mentor data teams, define data strategy, oversee data infrastructure development, drive AI/ML innovations, and ensure data governance.

The Head of Data and AI will build and execute AI strategy, integrating innovative tools to automate and enhance organizational workflows. Responsibilities include strategic planning, deploying AI solutions, ensuring ethical practices, and developing proprietary tools for client engagement.