2 Permanent Information technology found

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    • london, greater london
    • permanent
    • £80,000 - £90,000 per year
    Data Modeler - Banking and Financial Services (BFS) DomainLocation: Canary Wharf, LondonType: Full-Time Mode: Hybrid (3 days onsite) Join a top financial institution as a Data Modeler specializing in Banking and Financial Services. We're seeking a professional with 15+ years of experience in BFS data modeling and taxonomy. In this role, you'll define enterprise information architectures, controlled vocabularies, and data governance frameworks to support
    Data Modeler - Banking and Financial Services (BFS) DomainLocation: Canary Wharf, LondonType: Full-Time Mode: Hybrid (3 days onsite) Join a top financial institution as a Data Modeler specializing in Banking and Financial Services. We're seeking a professional with 15+ years of experience in BFS data modeling and taxonomy. In this role, you'll define enterprise information architectures, controlled vocabularies, and data governance frameworks to support
    • birmingham, west midlands
    • permanent
    • £55,000 - £65,000 per year
    Role: Data ModelerLocation: Birmingham Work Model: HybridMy finance sector client are looking for a skilled data modeler with a finance background, strong in UML, and passionate about creating scalable, compliant data solutions. As a Data Modeler you will help shape the client's enterprise data architecture and support critical business functions.In this role you will: Design and maintain conceptual and logical data models for financial services, focusing
    Role: Data ModelerLocation: Birmingham Work Model: HybridMy finance sector client are looking for a skilled data modeler with a finance background, strong in UML, and passionate about creating scalable, compliant data solutions. As a Data Modeler you will help shape the client's enterprise data architecture and support critical business functions.In this role you will: Design and maintain conceptual and logical data models for financial services, focusing

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