DESCRIPTION OF THE TASKS
Following tasks will be performed by external service provider:
- Design of Data Quality and Health Monitoring
- Writing of technical
- Assistance with deployment and configuration of the
- 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
- 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
- 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 role- based access control (RBAC) 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
- Participation in meetings with other project
- EU citizenship
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
- Proficiency in data governance tools data quality tools data lineage tools and metadata management
- Familiarity with data security standards and
- Knowledge of GDPR data protection laws and AI regulations such as the AI
- Knowledge of data warehouse design &
- Knowledge of SQL
- Good knowledge of ETL
- Good knowledge of modelling
- Good knowledge of online analytical data processing (OLAP) and data mining
- Experience in data quality data control and monitoring
- Ability to work in
- Excellent communication and interpersonal skills to collaborate with cross-functional teams conduct training sessions and promote data governance best practices.
Qualifications :
A minimum educational qualification is: Level of education corresponding to Level 6 of the European Qualification Framework which typically corresponds to a bachelors degree of 3 years.
Remote Work :
No