Cosmote Global Solutions

Data Engineer

• Design of Data Quality and Health Monitoring processes.
• Writing of technical documentation.
• Assistance with deployment and configuration of the system.
• Elaborate on Data governance topics, considering data quality: implement processes to ensure data accuracy, consistency and reliability across all data sources. Establish data quality metrics and monitoring systems to continuously assess and improve data integrity.
• Data lineage: set up a data lineage system to track the data flow from source to target. Ensure transparency and traceability of transformations and processes to facilitate troubleshooting and compliance.
• Data observability: implement tools and techniques to monitor data pipelines in real time. Develop dashboards and alerts for detecting anomalies, data drift, and pipeline failures to maintain robust data operations.
• Data catalogue / metadata management: establish and manage a comprehensive data catalogue to provide a centralized repository of metadata.
• (Personal) Data protection (GDPR): ensure compliance with GDPR and other data protection regulations. Develop policies and procedures for handling personal data, including consent management and data anonymization.
• Data authorization / access: design and implement data access control mechanisms. Develop attribute- or role-based access control policies and audit access logs.
• Data security: collaborate with the IT security team to develop and implement data security policies. Ensure data encryption and secure data storage.
• Data logging: establish data logging standards and practices to ensure comprehensive logging of data usage and changes. Implement log management solutions to facilitate auditing and compliance.
• Define best practices: develop and disseminate best practices for data management and governance within the organization. Conduct trainings and workshops to promote a data-driven culture.
• Act on AI governance, with a special concern on AI ethics / fairness: develop frameworks and guidelines to ensure our AI applications are ethical and fair.
• AI Act compliance: stay updated on AI regulatory requirements and ensure organizational compliance with the AI Act and other relevant regulations.
• Active involvement in the Data & AI Risk management.
• Participation in meetings with other project teams.

Data Warehouse Developer