Data Scientist (near-site, Brussels) - MAIA

TheWhiteam; Brussel; Sur place; EUR 90 967 - 119 362; Plein temps

Résumé du poste

TheWhiteam is seeking a Data Engineer to join a near-site Brussels-based team. You will design and maintain data integration pipelines, ensure data quality and governance, and optimize both relational and NoSQL databases.

Proficiency in Python or R and strong SQL skills are essential for this role. Responsibilities include metadata management, data modelling, and implementing security and privacy controls across data platforms within a European market context.

Qualifications

• 3+ years of post-secondary education and a diploma.
• Experience in data integration and governance is required.
• Strong SQL, Python or R skills and experience with ETL/ELT.

Responsabilités

• 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.

Connaissances

Python

R

Data governance

Data modelling

SQL

ETL/ELT

Performance tuning

Database administration

Formation

Diploma or degree with at least 3 years of studies

Outils

Oracle

MySQL

PostgreSQL

NoSQL databases

Description du poste

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‑secondary 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.