We are looking for a Data-warehouse & reporting developer for a key client based in Brussels.
Task:
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.
(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:
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.
Minimum experience:
Minimum 5 years of hands-on experience in the tasks.
Specific Expertise:
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.
Education:
Bachelor's degree of 3 years.
Master's Degree nice to have.
Language:
English C1
Location:
Near-site, within a maximum of 2h by car from Brussels, Belgium