Technical Data Modeller

• Amsterdam, Noord-Holland

• Vast

• Voltijds

• 14 uren geleden

As a Technical Data Modeller, you will:

• Design, develop, and maintain conceptual, logical, and physical data models across enterprise data platforms.

• Translate business and regulatory requirements into scalable and robust technical data structures.

• Design and validate dimensional models including fact-dimension models, star schema, and snowflake schema.

• Ensure data quality, lineage, governance, and consistency within Finance and Risk data domains.

• Work closely with Data Engineers, Product Owners, Data Office, and Architecture teams to implement and optimize data models.

• Implement and support data modelling solutions on Azure SQL Database, Azure Databricks, and Azure Data Factory.

• Review and optimize existing data models while providing guidance on data standards and modelling best practices.

• Support data ingestion and transformation teams during the implementation and delivery phases.

• Participate in technical discussions, architecture reviews, and refinement sessions to ensure scalable data solutions.

• Contribute to building compliant, scalable, and high-quality data structures that support analytics and regulatory reporting., * Contribute to architecture discussions and support the continuous improvement of data platform capabilities.

What We Bring to the Table:

• Opportunity to work on large-scale enterprise data platforms within a complex and evolving data environment.

• Exposure to modern cloud-based technologies within the Azure data ecosystem.

• A collaborative working environment alongside experienced data engineers, architects, and domain experts.

• The opportunity to contribute to high-impact data initiatives supporting financial analytics and regulatory reporting.

• 10+ years of experience in Data Modelling, Data Architecture, or related data engineering roles within complex environments.

• Strong expertise in SQL, including complex queries, performance tuning, and relational database design.

• Hands-on experience designing conceptual, logical, and physical data models.

• Proven experience working with the Azure data ecosystem, including Azure SQL Database, Azure Databricks, and Azure Data Factory.

• Strong understanding of financial data domains, including payments, credit, risk, regulatory, and reporting datasets.

• Deep knowledge of data modelling techniques, including normalization and denormalization, star and snowflake schemas, fact-dimension modelling, Slowly Changing Dimensions (SCD), and metadata and lineage management.

• Strong communication skills and the ability to collaborate effectively with both technical and business stakeholders.

• Experience with regulatory reporting environments such as DNB, AFM, IFRS, and Risk & Finance reporting is considered an advantage.

• Familiarity with DevOps practices, including Azure DevOps pipelines and Git.

• Exposure to data governance frameworks and data quality practices.

• Experience working within banking or financial services environments is preferred.

You Should Possess the Ability to:

• Translate complex business and regulatory requirements into scalable technical data models.

• Design and optimize enterprise-level data structures that support analytics and reporting platforms.

• Collaborate effectively with cross-functional teams including engineers, architects, product owners, and business stakeholders.

• Ensure high standards of data quality, governance, compliance, and consistency across data platforms.

• Evaluate and improve existing data models while recommending technical enhancements and best practices.

• Work independently, challenge requirements when necessary, and propose robust technical solutions.