Data Scientist (near-site, Brussels) - MAIA

Data Scientist (near-site, Brussels) - MAIA

Position: Data engineer.
Location: Near-site (Brussels).
Rate: 570€/day.
Start date: To be confirmed (ASAP).
Language: Services will be provided in English. Consultants must have at least a B2 level, in accordance with the Common European Framework of Reference for Languages (CEFR).

Minimum post-secundary education required: at least 3 years of studies attested by a diploma.

Minimum professional experience required: a minimum of 5 years of professional experience, 3 of them in a similar position.

Responsibilities:

• Design, develop, and maintain data integration processes that consolidate information from multiple sources for use by business systems and services.
• Ensure the quality, accuracy, consistency, and accessibility of data across the organisation.
• Implement and enforce data governance policies, including data access, integrity, security, and privacy controls.
• Maintain and manage metadata repositories to support effective data governance and data lifecycle management.
• Design, administer, and optimise relational and non-relational databases to ensure performance, scalability, and reliability.
• Develop, optimise, and maintain SQL queries, stored procedures, and other database objects.
• Manage database change processes, including deployment, version control, and documentation.
• Define and administer database access rights and security permissions in accordance with organisational policies.
• Support data architecture initiatives and contribute to the continuous improvement of data management practices and standards.

Specific expertise:

• Proven experience with relational and non-relational database technologies, including Oracle, MySQL, PostgreSQL, and NoSQL databases.
• Strong knowledge of database design, SQL development, performance tuning, and database administration.
• Experience with programming and scripting languages for data processing and automation, such as Python and R.
• Solid understanding of data engineering principles, including ETL/ELT processes, data modelling, and data pipeline development.
• Experience with data governance and data management platforms such as Talend, Collibra, Microsoft Purview, Databricks, and Oracle data management solutions.
• Proficiency in data visualisation and reporting tools, including Power BI, Qlik, and Tableau.
• Experience working with cloud-based data platforms and services, such as Azure Synapse Analytics and AWS DataZone.
• Good understanding of data governance, metadata management, data quality, and information security best practices.