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Data Scientist (near-site, Brussels) - MAIA

The White Team -
Bruxelles

Soumettre votre candidature

Détails de l'emploi

570 € par jour

Qualifications

Optimisation des performances
Power BI
Azure
Oracle
R
NoSQL
Tableau
Sécurité des informations
Bases de données
SQL
Conception de bases de données
AWS
PostgreSQL
Scripting
Talend
ETL
Python
MySQL

Description complète du poste

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.

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