Top Data Jobs in London

The Principal Data Consultant is responsible for designing and delivering enterprise-level data solutions using tools like Azure, Databricks, and Hadoop, focusing on customer requirements and contributing to community efforts. The role involves collaboration, strategic decision-making, and expertise in SQL and Power BI for data visualization.

The Data Architect at Mintel will design and implement data models, establish data architecture standards, and collaborate with various teams to deliver scalable data solutions. Responsibilities include creating data models, supporting data engineering teams, and identifying best practices in data management.

The Data Senior Manager, Growth is responsible for leveraging data to drive growth strategies and optimize decision-making. Key responsibilities include developing attribution models, calculating channel-level CACs, designing experiments, and creating dashboards that provide insights into growth performance.

The Lead Data Engineer will oversee the Gross Margin pipeline, driving technical vision, managing a team of engineers, and ensuring scalable, efficient data processing. Responsibilities include leadership in product design, enhancing team capabilities, and ensuring data quality to support financial analysis and decision-making across the business.

The Lead Data Engineer at Octopus Energy will manage the Gross Margin pipeline, ensuring accurate financial reporting and analysis through high-quality data. Responsibilities include leading a team of engineers in developing scalable technology solutions and fostering a collaborative team environment. The role requires oversight of technical outcomes and best practices, as well as hands-on contributions to coding and design.

The Data Protection & Privacy Manager will lead data compliance initiatives, focusing on embedding data protection and privacy culture across the organization. Responsibilities include developing privacy policies, managing data subject requests, conducting impact assessments, and ensuring compliance with regulations such as GDPR and CCPA. The role requires a collaborative approach to align data privacy practices with business strategy.

The role involves creating high-quality predictive signals by leveraging large datasets to identify statistical patterns. Responsibilities include sharing research results and discussing methodologies with other researchers.

As a Senior Data Engineer at Aircall, you will design, develop, and maintain data infrastructure, build reliable data pipelines, enhance data quality and compliance, mentor junior team members, and collaborate with cross-functional teams to improve operational efficiency and support complex data challenges.