Data Modeler

• Design and develop data models that support business processes and analytical requirements.
• Analyze and understand business needs and processes to create effective data models that enhance data usability.
• Create and maintain conceptual, logical, and physical data models, ensuring alignment with the overall enterprise architecture.
• Collaborate with IT and business stakeholders to gather requirements and ensure the data model serves its intended purpose effectively.
• Implement best practices for data modeling, ensuring compliance with data governance standards and data quality metrics.
• Conduct data profiling and data analysis to support data model designs and determine the impact of potential changes.
• Participate in data integration efforts and support the implementation of data management practices.
• Develop and document data definitions, metadata, and data lineage information for operational and reporting systems.
• Work with ETL developers and data engineers to ensure seamless integration and data flow into data warehouses and other analytical platforms.
• Support data governance initiatives by providing expertise on data modeling standards and practices.
• Continuous learning and keeping up to date with industry trends and advancements in data modeling and management.

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Strong experience designing and implementing layered data warehouse architectures (staging, raw, business vault, data marts) aligned with BI and analytics needs
• Proven hands-on experience implementing Data Vault 2.0 (Hubs, Links, Satellites, historization, auditability, traceability)
• Capability to translate business requirements into conceptual, logical, and physical data models
• Strong knowledge of dimensional modeling (star and snowflake schemas)
• Strong understanding of metadata management, data lineage, and data quality principles embedded in modeling design
• Advanced SQL proficiency and hands-on experience with data modeling tools
• Ability to work closely with BI analysts and business stakeholders to support reporting needs
• Ability to contribute to documentation and modeling standards
• Familiarity with BI/reporting tools such as Microsoft Power BI, Tableau, and Looker from a data engineering perspective
• Familiarity with automation frameworks supporting Data Vault generation
• Knowledge of data validation, reconciliation, and quality monitoring techniques
• Exposure to AI-assisted modeling accelerators or metadata-driven automation
• Familiarity with the court of justice domain
• Experience designing models in cloud platforms

Cosmote Global Solutions