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.
Acerca de Cognizant
Cognizant (Nasdaq: CTSH) es un creador de soluciones de IA y proveedor de servicios tecnológicos que conecta la inversión en IA con el valor empresarial mediante el desarrollo de soluciones de IA full‑stack para sus clientes. Su profundo conocimiento de la industria, junto con su experiencia en procesos e ingeniería, permite incorporar el contexto único de cada organización en sistemas tecnológicos que amplifican el potencial humano, generan resultados tangibles y mantienen a las empresas a la vanguardia en un entorno en constante cambio. Más información en cognizant.ai o @cognizant.
Información adicional sobre el empleo
La información sobre la compensación es exacta en la fecha de publicación de este anuncio. Cognizant se reserva el derecho de modificar esta información en cualquier momento, de conformidad con la legislación aplicable.
Es posible que se solicite a los solicitantes que asistan a entrevistas de forma presencial o mediante videoconferencia. Asimismo, durante cada entrevista, los candidatos podrán estar obligados a presentar un documento de identidad válido emitido por el estado o por el gobierno.
Cognizant es un empleador que ofrece igualdad de oportunidades. Su solicitud y candidatura no se evaluarán en función de la raza, el color, el sexo, la religión, el credo, la orientación sexual, la identidad de género, el origen nacional, la discapacidad, la información genética, el embarazo, la condición de veterano ni cualquier otra característica protegida por las leyes federales, estatales o locales.
