2 of 2 Physical Data Model Jobs in West London

Data Architect (Customer Domain) Location: 3 days onsite - London Salary: Up to £107,500 per annum About the Role: We are seeking an experienced Data Architect with a strong customer data background to help shape and mature our data capabilities. As a strategic advisor and technical expert, you’ll be at the heart of our Commercial … data transformation, supporting everything from CRM integration to GDPR-compliant architecture. Key Responsibilities: Define and maintain scalable, secure, and business-aligned data architecture Champion data governance (GDPR/DPIA) and promote high standards in data quality and compliance Lead the design of conceptual, logical, and physical data models Collaborate with business and IT to … align data strategy with business outcomes Integrate CRM platforms (ideally Salesforce) into architectural frameworks Provide documentation of data flows, interfaces, and models Empower self-service analytics and ad hoc data access for stakeholders Influence data architecture maturity and drive adoption of best practices What We’re Looking For: Must-Have Experience: Solid Data Architecture background More ❯

Senior Azure Data Engineer Remote Working - UK Home-based with occasional travel into the office £39,784 - £49,477 (National) £45,456- £55,149 (London within the M25) Additional allowance for exceptional candidates - Max Salary - £62,000 (National) and £67,000 (London within the M25) Homeworking allowance of £581 per annum Job Ref: J12964 A Senior Azure Data Engineer is required to design, build, test and maintain data on the enterprise data platform, allowing accessibility of the data that meets business and end user needs. The successful individual will be responsible for maximising the automations, scalability, reliability and security of data services, focusing on opportunities for re-use, adaptation and efficient engineering. Additionally … you will support the team but knowledge sharing and mentoring more junior members of the team. Accountabilities: Design, build and test data pipelines and services, based on feeds from multiple systems using a range of different storage technologies and/or access methods provided by the Enterprise Data Platform, with a focus on creating repeatable and reusable components More ❯