Top Data Jobs in London

The Data Architect will lead data architecture designs aligned with client needs and governance frameworks, contributing to projects in financial services. Responsibilities include transforming data management operating models, implementing data systems, and applying data methodologies like DCAM and DAMA DMBoK. The role demands expertise in AI, Business Intelligence, data governance, and knowledge of data technologies and hyperscaler capabilities.

As a Data Analyst at EFG, you will be responsible for understanding customer needs, driving data-driven decisions, and improving data quality and efficiency. You'll encapsulate business logic in the data warehouse, create analytical solutions, and develop visual storytelling through dashboards while inspiring and guiding team members.

The Senior Data Engineer at M3 will design and maintain data pipelines, oversee data architecture and integration processes, and collaborate with teams to meet business intelligence needs. Key responsibilities include enhancing data infrastructure and supporting visualization tools like Power BI while ensuring compliance and best practices in data management.

The Head of Data Quality will oversee the Data Quality Analysts, establishing metrics and ensuring accountability within Data Owners and Stewards. Responsibilities include improving data quality across teams, driving the understanding of data governance, and supporting the Chief Data Office in resolving data issues.

As a Research Data Scientist at dunnhumby, you'll apply machine learning and statistical techniques to solve complex business problems and perform data analysis and model validation. You'll present results to stakeholders and develop science solutions to enhance customer experience based on product needs across retail environments.

As a Senior Trends Analyst at GWI, you'll connect data insights with marketing, sales, and product teams to foster client engagement and inform strategic decisions. This role emphasizes creativity in data interpretation and the ability to communicate trends effectively within a commercial context.

The Senior Data Engineer will design, develop, and maintain scalable data pipelines and architecture, ensuring data integrity and collaborating with teams to support business initiatives. Responsibilities include implementing ELT processes, conducting exploratory data analysis, and driving continuous improvement in data operations while staying updated on industry trends.

The Tech Lead for the Data Platform will be responsible for executing Kobalt's Data Platform Strategy, enhancing business efficiency, and driving innovation using data and AI. Responsibilities include leading data platform projects, engaging with stakeholders, and implementing scalable tooling for data products.