Top Data Jobs in London

The Data Steward will manage data quality, ensure completeness, accuracy of data across systems, support product launches, and create reports.

Design and maintain advanced test automation frameworks, drive end-to-end test coverage, lead code reviews, mentor engineers, and ensure quality in financial services testing solutions.

The Director of EMEA Head of Investment & Data Operations oversees trade support, investment operations, and risk/control processes while managing team performance and ensuring operational efficiency across multi-asset environments.

The Operations Executive will manage day-to-day operations for the Data Centres team, overseeing financial management, staff development, and operational strategies while ensuring compliance and enhancing productivity.

The HR Data Insights Lead transforms HR data into actionable insights for workforce planning and talent strategies, ensuring data quality and driving analytics literacy.

Data Scientists at G-Research analyze financial datasets, applying mathematical concepts and programming skills to enhance the research platform and collaborate with teams.

The Senior Software Engineer will build data pipelines, work on distributed systems, mentor junior engineers, and innovate solutions in self-driving technologies.

Lead and mentor a team of engineers to develop and maintain data infrastructure for autonomous driving. Interface with stakeholders and ensure engineering excellence in a distributed environment.

The Senior Data Engineer role involves data acquisition, processing, and delivery to enhance the user experience at OnTheMarket. Responsibilities include developing data pipelines, maintaining existing reports, and addressing ad-hoc business needs, utilizing technologies like Python, AWS, and Redshift.

The role involves developing data pipelines and distributed systems to support ML applications for autonomous vehicles while collaborating across teams.

Lead a team of data engineers and analytics engineers on GCP-based Data & AI Platform, focusing on team development, technical stewardship, and effective delivery processes.

The Senior Data Privacy and Protection Analyst monitors data privacy and protection security events, ensuring compliance with regulations and implementing controls to mitigate risks. Responsibilities include monitoring incidents, operating security controls, maintaining documentation, and collaborating across IT and business units.

As a Data Engineer, you will modernize data infrastructure, develop scalable solutions, and collaborate with teams on data-driven projects.

The Senior Data Engineer will design and maintain data pipelines, collaborate with teams for data analysis, ensure data quality, and lead projects utilizing various data technologies.

The Head of Data will lead the firm's trading data ecosystem, ensuring data quality, reliability, and enabling insights across the organization. Responsibilities include defining data strategy, managing data architecture, enforcing governance, and mentoring the Central Data Team.

The Data Scientist will develop and deploy machine learning models, focusing on computer vision, NLP, and recommendation systems, while collaborating with engineering teams and product stakeholders.

The Senior Energy Market Analyst will develop energy market modeling datasets, analyze market dynamics, and enhance PLEXOS models, collaborating with global teams to improve data quality and forecasting accuracy.

As a Data Architect at Kainos, you will provide guidance on data architecture, manage a small team, ensure data solutions fit client needs, and engage with stakeholders. You will also lead technical projects and support junior staff development.

Lead the data strategy at Moss by unifying data infrastructure and analytics, driving growth through insights, and managing a BI team.

Lead data science projects to develop and evaluate marketing tactics using innovative techniques. Collaborate across teams to influence strategic decisions and drive business impact.

You will manage data across its lifecycle, ensure data governance and optimization, and support data-related stakeholder collaboration.

The Senior Data Engineer will develop and manage data pipelines and models, enhance engineering efficiency, and mentor junior engineers while supporting various partner teams.

As a Senior Data Enablement Engineer at Depop, you will architect and scale the data platform, develop microservices, and lead initiatives across teams to promote data governance and observability practices.

The Staff Backend Engineer will lead the technical vision for Depop's data platform, focusing on data ingestion, scalability, observability, and architecting data solutions while mentoring team members.

Join Lendable as a Data Scientist to develop credit risk models for US unsecured loans and credit cards, utilizing machine learning and extensive data sources.