Data-warehouse & reporting developer (Brussels, Near-site) - European Commission

• 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 t ime. 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 centralised 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 anonymisation.

• Data authorisation / 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 practises: develop and disseminate best practices for data management and governance within the organisation. Conduct trainings and workshops to promote a data driven culture.
• Act on AI governance, with a special concern on: o 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 organisational compliance with the AI Act and other relevant regulations.
• Active involvement in the Data & AI Risk management.
• Participation in meetings with other project teams.
• EU27 citizenship only.

Do you have experience in SQL?, * Minimum 5 years of hands-on experience in the fields listed below.

• Excellent experience in data governance, data management or related.
• Proficiency in data governance tools, data quality tools, data lineage tools and metadata management solutions.
• Familiarity with data security standards and technologies.
• Knowledge of GDPR, data protection laws, and AI regulations such as the AI Act.
• Extensive knowledge of data warehouse design & architecture.
• Extensive knowledge of SQL, PostgreSQL and NoSQL.
• Very good knowledge of ETL tools.
• Good knowledge of modelling tools.
• Very good knowledge of online analytical data processing (OLAP) and data mining tools.
• Experience in data quality, data control and monitoring techniques.
• Ability to work in English.
• Excellent communication and interpersonal skills to collaborate with cross-functional teams, conduct training sessions, and promote data governance best practices.

Non-technical skills:

• Capability of integration in an international/multicultural environment, rapid self-starting capability and experience in working in team.
• Ability to participate in multilingual meetings.
• Ability to work in multi-cultural environment, on multiple large projects.
• Excellent Team Player.
• Ability to understand, speak and write English CI.