Top Data Jobs in London

The Data Scientist will lead innovative solutions by leveraging machine learning algorithms, defining data pipelines in MS Azure, and collaborating with design teams to integrate data insights into the design process, all while supporting a data-driven community within the firm.

As a Senior Data Engineer, you'll design, build, and maintain data infrastructure, ensuring data pipeline reliability and efficiency. Collaborate with cross-functional teams, enhance data quality, implement automation, and manage data transformation workflows to deliver high-quality data solutions.

The SAP Data and Integration Analyst at Royal Canin will support the EOS business transformation by designing integrations for SAP S/4 related to the Make to Deliver template, focusing on master-data and transactional integrations. The role requires collaboration with various technical teams and creating interface specifications and test plans.

The Senior Data Engineer will lead the data engineering function, work on a modern data platform, and create data-as-product solutions. Responsibilities include assembling complex data sets, building ETL infrastructure, maintaining the Data Warehouse platform, and ensuring the platform adheres to financial models. The role requires strong leadership in coaching and mentoring along with effective communication skills.

The Data Engineer will develop databases and data pipelines, create end-to-end data solutions, and maintain scalable data solutions while collaborating with various stakeholders to ensure data security and project success.

The role involves leading and managing data strategy for Private Markets at Aviva Investors. Responsibilities include developing and implementing strategies for data optimisation, ensuring data-driven decision-making, and improving data management practices while collaborating with various teams.

The Senior Market Data Analyst will manage market data sourcing, transformations, and models while analyzing large datasets and enhancing reporting tools. Responsibilities include collaborating with teams to support market risk initiatives and ensuring high data quality standards. The candidate will also coordinate agile projects and resolve market data queries from stakeholders.

As a Senior Data Engineer at Notabene, you'll build and maintain scalable ETL pipelines, drive a data-driven culture, and collaborate with cross-functional teams to extract actionable insights from data. You'll promote data governance and security practices while ensuring the performance and scalability of data infrastructure.

The Senior Data Analyst will work closely with stakeholders to translate business requirements into data solutions, analyze large datasets for insights, validate data accuracy during migration, and ensure data quality. Responsibilities include collaborating with Data Engineers, creating data validation processes, providing ad-hoc analyses, and documenting methodologies.

As Manager of Data Operations, you will lead the Data Operations support team to develop a world-class data supply chain, oversee operational health, define service level objectives, and collaborate across various business and technical teams to ensure the quality, timeliness, security, and accuracy of data assets.

As a Data Activation Analyst, you will leverage customer data to design and execute targeted marketing campaigns. Responsibilities include managing customer data in a new Customer Data Platform (CDP), conducting data analysis, A/B testing, and collaborating with marketing teams to develop data-driven strategies.

The DDF Engineering Lead will oversee a team of data engineers and DevOps engineers, driving the delivery of data products and implementing DataOps practices. Responsibilities include collaborating with cross-functional teams, optimizing data pipelines, ensuring adherence to governance policies, and promoting data quality. This role requires significant technical leadership and stakeholder engagement to maximize data utilization for business value.

As a Senior Data Scientist at RevenueCat, you will create data models, dashboards, and reports to help developers make informed decisions. You'll collaborate with product and data teams to enhance data features, build predictive models, and contribute to the data tech stack, ultimately shipping features that drive customer value.

As a Senior Data Scientist at Kobalt, you will develop production-grade ML solutions for the music industry, focusing on royalty collection, talent scouting, forecasting, and anomaly detection while collaborating with cross-functional teams.