Data Modeler
About the Role
We are seeking an experienced Data Modeler to join our Data & Analytics practice. This hybrid role is focused on designing and governing enterprise data models for a global organisation operating within the Banking and Financial Services sector.
The successful candidate will work closely with business Subject Matter Experts (SMEs), governance teams, architects, and engineering squads to create robust conceptual, logical, and physical data models that support analytics, regulatory reporting, operational excellence, and digital transformation initiatives.
This role requires a strong blend of technical expertise, business understanding, and stakeholder collaboration. The ideal candidate will be passionate about delivering high-quality data models, enabling trusted enterprise data assets, and supporting modern data-driven decision-making across the organisation.
Key Responsibilities
• Apply strong proficiency in enterprise data modelling techniques to design and deliver high-quality conceptual, logical, and physical data models
• Create and maintain Conceptual, Logical, and Physical Data Models using PowerDesigner, ERwin, or equivalent modelling tools
• Collaborate with business SMEs, architects, analysts, and data governance teams to gather requirements and translate business concepts into scalable data models
• Apply Banking and Financial Services (BFS) data modelling knowledge to support enterprise data initiatives and business transformation programmes
• Leverage knowledge of Teradata Financial Services Logical Data Model (FSLDM) to align enterprise data structures with industry-standard banking data frameworks
• Resolve data model ambiguities, conflicts, and data definition issues through collaboration with business stakeholders and domain experts
• Ensure regulatory reporting requirements, including COREP, FINREP, and related reporting obligations, are accurately represented and preserved within data models
• Support business validation activities, testing initiatives, and User Acceptance Testing (UAT) processes to confirm data model accuracy and business alignment
Work Model
We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role's business requirements, this is a hybrid position.
Regardless of your working arrangement, we are committed to supporting work-life balance through our wellbeing initiatives and collaborative working culture. Working arrangements may evolve based on business and client requirements.
Required Skills and Qualifications
• Strong expertise in Enterprise Data Modeling
• Strong understanding of Logical and Physical Data Modeling principles and methodologies
• Good knowledge of Banking Data Models and Banking & Financial Services domain processes
• Knowledge of Teradata Financial Services Logical Data Model (FSLDM) is highly desirable
• Good understanding of Mortgage and Lending domain data structures and business processes
• Strong SQL skills for data analysis, validation, and model verification activities
• Experience supporting Metadata Management, data governance, and data lineage initiatives
Preferred Qualifications
• Knowledge of enterprise data governance frameworks and metadata management practices
• Familiarity with regulatory data requirements within Banking and Financial Services organisations
• Understanding of modern cloud-based data platforms and enterprise analytics ecosystems
• Experience supporting large-scale data transformation and modernisation programmes
What We Offer
At Cognizant Netherlands, we invest in talented professionals who help organisations unlock the value of data and drive innovation.
• Competitive salary
• Opportunity to work in a technology-driven organisation
• International working environment with diverse teams and global opportunities
• Continuous learning, professional development, and career growth opportunities
• Exposure to large-scale banking transformation programmes and modern data technologies
Why Join Us
This is an opportunity to play a key role in shaping enterprise data foundations within a leading Banking and Financial Services environment. You will work alongside highly skilled professionals, contribute to strategic data initiatives, and help create trusted, scalable, and business-aligned data assets that support analytics, regulatory compliance, and digital transformation.
We welcome professionals who bring technical depth, business understanding, curiosity, collaboration, and a passion for high-quality data modelling.
Contact the Recruiter
Megha Nagpal
Email: [email protected]
Phone: +31 6 2715 5643
Equal Opportunity Statement
Cognizant is an equal opportunity employer committed to fostering an inclusive and diverse workplace. We consider all qualified applicants based on skills, experience, qualifications, and business requirements, creating an environment where everyone can contribute, grow, and succeed.
Über Cognizant
Cognizant (NASDAQ: CTSH) i ist ein Technologiedienstleister und Entwickler von KI-Lösungen. Wir schlagen die Brücke zwischen KI-Investitionen und echtem unternehmerischem Mehrwert, indem wir ganzheitliche Full-Stack-KI-Lösungen für unsere Kunden entwickeln. Mit unserer fundierten Branchen-, Prozess- und Engineering-Expertise integrieren wir die spezifischen Anforderungen von Unternehmen passgenau in Technologiesysteme. So entfalten wir das menschliche Potenzial, erzielen greifbare Ergebnisse und sichern globalen Unternehmen in einer sich rasant wandelnden Welt den entscheidenden Vorsprung. Erfahren Sie mehr unter cognizant.ai oder @cognizant.
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