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Data Modeler

East FlandersHybrid40 hours/week<3months

This assignment is for an experienced Data Modeler for a challenging project within an international and data-driven organization. In this role, you will play a key part in building and maintaining a consistent, scalable, and high-quality enterprise data model within a modern Unified Data Platform environment. You will work at the intersection of business, data, and technology and contribute to building a future-proof data architecture.

What you will do.

  • Design, develop, and maintain logical and physical data models
  • Support the further evolution of the enterprise data model
  • Define and promote data modeling standards, guidelines, and best practices
  • Collaborate with business stakeholders, data product teams
  • Translate business concepts and source systems into standardized data structures
  • Review and integrate changes within existing data models
  • Monitor consistency, data quality
  • Align the enterprise data model with the business glossary and governance framework
  • Monitor the adoption and impact of data models within the organization
  • Actively contribute to the further development of a data-driven enterprise

Profile

  • At least 5 years of experience as a Data Modeler or in a similar role
  • Strong knowledge of both normalized and denormalized data models
  • Experience with logical and physical data modeling within enterprise environments
  • Strong analytical skills and experience with data analysis
  • Experience with specific data modeling frameworks
  • Good knowledge of data governance and data quality principles
  • Experience within Agile teams and projects
  • Strong stakeholder management skills
  • Excellent communication skills and the ability to connect business and IT
  • Fluent in English
  • Knowledge of Dutch is a major asset

What they offer.

  • Long-term assignment within an international and innovative environment
  • Strategic role in the further development of an enterprise data platform
  • Collaboration with experienced data architects, engineers, and business stakeholders
  • Working on projects with direct impact on the organization and its data-driven ambitions

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