COSMOTE Global Solutions, a part of the OTE Group of Companies, is a leading ICT Systems Integrator that provides a wide array of ICT Solutions and Services.
CGS specializes in offering services across several domains, including Cloud computing, Data Centre operations, Networking, Cybersecurity, BI and Data Warehousing, Big Data solutions, and more.
Responsibilities:
- 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.
Requirements
- 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
