DataWareHouse and Reporting Developer L9 - Deadline 21/01/26

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 centralised repository of metadata.

Data protection (GDPR): ensure compliance with GDPR and other data protection regulations. Develop policies and procedures for handling personal data, including consent management.

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.  o 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: 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.

Following skills and knowledge are required for the performance of the above listed tasks: 

•        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.

•        Excellent communication and interpersonal skills to collaborate with cross-functional teams, conduct training sessions, and promote data governance best practices.

Following specific expertise is mandatory for the performance of tasks: minimum 5 years of hands-on experience in the mentioned tasks and technologies.

 Level : 9

Delivery mode: Near Site (Brussels)

Only EU Citizens