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Browse Open JobsData Scientist (near-site, Brussels) - MAIA
Summary by AIEngineer.careers
Data Scientist (near-site, Brussels) - MAIA is a Data Engineer role (full-time). with The White Team. in BRUXELLES - BRUSSEL, BE. Compensation shown: $160K–$160K (est.). Imported listing (source: be.engineering.jobs). Apply on the employer's site (be.engineering.jobs).
Imported listing (source: be.engineering.jobs) · Apply on be.engineering.jobs
BRUXELLES - BRUSSEL · BE
$160K–$160K (est.)
Full-time
MID
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from be.engineering.jobs
Data engineer role supporting the MAIA project, responsible for designing and maintaining data integration processes, ensuring data quality, and managing databases. Requires expertise in SQL, Python, R, and data governance tools.
Responsibilities
- Design, develop, and maintain data integration processes from multiple sources.
- Ensure data quality, accuracy, consistency, and accessibility.
- Implement and enforce data governance policies including security and privacy.
- Design, administer, and optimize relational and non-relational databases.
- Develop and maintain SQL queries, stored procedures, and database objects.
- Support data architecture initiatives and improve data management practices.
Requirements
- Minimum 5 years of professional experience, with 3 years in a similar position.
- Proven experience with Oracle, MySQL, PostgreSQL, and NoSQL databases.
- Strong knowledge of database design, SQL development, and performance tuning.
- Experience with Python and R for data processing and automation.
- Understanding of ETL/ELT processes, data modeling, and data pipelines.
The White Team
Madrid · ES · 66+ employees
The White Team (often referred to as TheWhiteam) is a technology consulting firm founded in 2012 that specializes in digital transformation, including data management, legacy modernization, and the implementation of cloud-native architectures. They aim to help companies optimize business profitability through the efficient use of information technologies.
