Senior Data-Warehouse and Reporting Developer

About the position

For our client, we are looking for a Senior Data-Warehouse and Reporting Developer (minimum 6 years of experience).

Location: Brussels or surroundings

Work model: hybrid (maximum 5 days/month on site)

Type of collaboration: B2B 

ABOUT CLIENT

Our client is a global consultancy company, with a strong focus on digital learning and educational innovation.

Leveraging expertise in cloud infrastructure, learning management systems, and user experience design, among others, they support public sector clients, in building future-ready platforms that enables accessible, scalable, and effective learning.

DESCRIPTION OF THE TASKS 

Following tasks will be performed by external service provider: 

• 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: 

       o 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. 

      o 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. 

     o 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. 

    o Data catalogue / metadata management: establish and manage a comprehensive data catalogue to provide a centralised repository of metadata. 

    o (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. 

    o Data authorisation / access: design and implement data access control mechanisms. Develop role-based access control (RBAC) policies and audit access logs. 

    o 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. 

    o 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. 

     o 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.

KNOWLEDGE AND SKILLS 

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. 

• Knowledge of data warehouse design & architecture. 

• Knowledge of SQL, NoSQL. 

• Good knowledge of ETL tools. 

• Good knowledge of modelling tools. 

• 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. 

• Bachelor's degree. 

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

Place of work