Logical Data Model Jobs in Glasgow

2 of 2 Logical Data Model Jobs in Glasgow

Consultant/Senior Consultant - Data Modelling

Glasgow, United Kingdom
Hybrid / WFH Options
Capgemini
validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. Your Role Join our fast-growing & collaborative Data-Driven Financial Risk & Compliance (DFRC) team and shape the future of risk and finance! We harness cutting-edge technology, AI-powered models, and cloud … first data platforms to transform risk management from a reactive function into a strategic powerhouse-driving growth, resilience, and competitive edge. Be part of a dynamic and inclusive team that's redefining how businesses anticipate, manage, and capitalize on risk. In this role you will have the opportunity to … demonstrate the following: Data Model Development: Design, develop and maintain conceptual, logical and physical data models to provide structured view of data domains, entities, and their relationships. Data Documentation: Create and update data dictionaries, entity-relationship diagrams (ERDs), and metadata to ensure clarity More ❯
Employment Type: Permanent
Salary: GBP Annual
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Financial Crime Data Modeler

Glasgow, Scotland, United Kingdom
Hybrid / WFH Options
Be-IT
Be-IT are working with a well known Organization to recruit a Financial Crime Data Modeler on a full-time, permanent basis. This role can be worked through a hybrid model and is based in Glasgow. This is an Assistant Vice President level role (AVP). As a … Financial Crime Data Modeller you will be instrumental in designing, implementing, and maintaining conceptual, logical, and physical data models that align with business processes, regulatory requirements, and technology strategies. You’ll collaborate with cross-functional teams to develop advanced data strategies and modelling frameworks across a … variety of platforms to support the detection and mitigation of financial crime. Key Responsibilities: Translate business and regulatory requirements into robust data models that support organisational goals. Develop and maintain data dictionaries and glossaries to ensure consistent definitions and usage of data elements. Collaborate with the Database More ❯
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