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Data Modeller (ID: 3873)

Job Description - Data Modeller (ID: 3873)

As a Data Modeller, you will:
  • Design, develop, and maintain conceptual, logical, and physical data models across enterprise data platforms.
  • Translate business, finance, and regulatory requirements into scalable and compliant technical data structures.
  • Design and validate dimensional data models, including fact and dimension models, star schemas, and snowflake schemas.
  • Ensure data quality, consistency, governance, metadata management, and data lineage across Finance and Risk domains.
  • Collaborate with Data Engineers, Product Owners, Architecture teams, and Data Office stakeholders to implement data models using Azure SQL Database, Azure Databricks, and Azure Data Factory.
  • Review and optimize existing data models while establishing modelling standards and best practices.
  • Support data ingestion, transformation, and integration activities throughout project delivery.
  • Participate in technical discussions, architecture reviews, and solution assessments.
What You Bring to the Table:
  • 8+ years of experience as a Technical Data Modeller in complex enterprise environments.
  • Expert -level SQL skills, including complex query development, relational database design, and performance tuning.
  • Strong experience with Azure SQL Database, Azure Databricks, and Azure Data Factory.
  • Extensive knowledge of financial data domains such as payments, credit, risk, regulatory reporting, and finance reporting.
  • Hands -on experience with data modelling techniques including normalization, denormalization, star schemas, snowflake schemas, fact and dimension modelling, Slowly Changing Dimensions (SCD), metadata management, and data lineage.
  • Experience working in Agile environments.
  • Strong communication and stakeholder management skills.
  • Professional proficiency in Dutch and good command of English.
You Should Possess the Ability to:
  • Convert complex business and regulatory requirements into effective technical data models.
  • Work independently and provide technical leadership on data modelling initiatives.
  • Collaborate effectively with both business and technical stakeholders.
  • Analyze, optimize, and maintain large -scale data structures.
  • Identify data quality issues and implement governance best practices.
  • Challenge requirements constructively and recommend robust technical solutions.
  • Support enterprise data architecture and data engineering teams in delivering scalable solutions.
What We Bring to the Table:
  • Opportunity to work on complex data modelling initiatives within Finance and Risk domains.
  • Exposure to modern Azure -based data platforms and technologies.
  • Collaborative environment with cross -functional teams including Data Engineering, Architecture, Product, and Governance teams.
  • Hybrid work model with 2 days onsite and 3 days remote.
  • Opportunity to contribute to large -scale, high -impact data transformation programs.
  • Dynamic and technically challenging projects that promote continuous learning and professional growth.
Let’s Connect

Want to discuss this opportunity in more detail? Feel free to reach out.

Recruiter: Asha Krishnan
Phone: +31 20 369 0609 ; Extn :146


Original job Data Modeller (ID: 3873) posted on GrabJobs ©. To flag any issues with this job please use the Report Job button on GrabJobs.
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