Top Data Jobs in London

As a Frontend Engineer, you'll build internal web apps, maintain dashboards, collaborate with researchers, and contribute to backend services using React and Python.

The Quote Specialist will support sales teams with quote creation, deal execution, renewals management, and process optimization while ensuring accurate pricing and compliance.

As a Data Engineer, you will design and maintain ETL services, collaborate in agile teams, and utilize cloud technologies to build scalable data solutions.

The Data Engineer will develop cloud-based data pipelines, manage integrations, create data services, and ensure data quality using various modern tools and programming languages.

Lead development and enhancement of FactSet's Telecom data offering: manage extraction, cleaning, validation, and integration of complex datasets; translate client needs into product requirements; build dashboards; engage with clients and partners; mentor team members and identify data ownership opportunities.

Lead and grow FactSet's Media data offering by managing extraction, cleaning, transformation, and validation of large datasets; integrate new sources into applications, feeds, and APIs; engage clients and partners to translate workflows into product requirements; collaborate with engineering, QA, and UX; present and train stakeholders; identify partnership/acquisition opportunities; mentor team members and own data collection strategy to reduce third-party dependencies.

As a Data Scientist II, you'll analyze user behavior and content data, refine classification systems, and develop evaluation frameworks to enhance content understanding at Spotify.

The Sales Manager will lead the GIN Account Executives to generate new revenue by acquiring customers in Europe, collaborating with internal teams and tracking sales metrics.

The Senior Learning Programme Designer leads the curriculum design for AI-related learning experiences, ensuring quality, collaboration, and data-driven improvements.

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

The Data Coordinator is responsible for capturing, maintaining, and verifying leasing data for the team, ensuring quality and accuracy for client deliverables. They will collaborate with agents and support data management efforts.

The Senior Substation Engineer will lead the design and execution of electrical substations, collaborate with stakeholders, oversee installations, and ensure compliance with regulations.

Lead the development of an internal web application for computer vision model exploration and data labeling. Collaborate with stakeholders, integrate frontend with existing systems, and ensure maintainable code practices.

The role involves designing scalable data pipelines for 3D, video, and sensor data, optimizing infrastructure, and productionizing ML models with researchers.

Design, implement and maintain infrastructure resilience across cloud and on‑prem environments. Define recovery strategies, automate restore runbooks, run disaster recovery drills, integrate resilience with ServiceNow and CMDB, track resilience metrics, and ensure regulatory compliance (PRA/FCA/DORA).

This role leads data product strategy and governance, ensuring compliance and robust operating models while fostering team development and collaboration across the organization.

The Data Scientist will analyze subscriber behavior, design experiments, define success metrics, and communicate insights to support Spotify's subscription offerings.

The ML Data Engineer will design and manage data pipelines for large-scale unstructured data, primarily images, ensuring efficient ingestion and preprocessing while collaborating with ML engineers for model training.

As a Data Analyst/Consultant, you'll undergo extensive training on data visualization and integration using Tableau and Alteryx, working with renowned clients to build your skills and confidence as a consultant.

Design, build, and optimize data pipelines. Ensure data integrity, performance, and maintainability while collaborating with engineering teams. Act as a point of escalation for data issues.

As a Lead Data Engineer for the Concorde program, you will design and implement scalable data solutions on AWS and Snowflake, lead data engineering teams, and develop automated data pipelines while collaborating with business stakeholders.

The Technical Account Manager at Treasure Data provides advanced platform expertise, guides technical solutions, monitors customer environments, and ensures successful implementations while maintaining technical documentation and communications.

The Business Data Analyst will drive data initiatives, analyze business data, gather requirements, and translate insights into actionable reports while promoting data quality and governance.

The role involves designing and building backend services, UI components, and integrations, while maintaining solid infrastructure practices and contributing to team collaboration.

The Senior Data Engineer will design and build scalable cloud-native solutions on GCP, develop Python services and APIs, and optimize data architectures, while mentoring team members.