**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.