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CBTW

Data Engineer, BI

CBTW

Data Engineer at CBTW handling data pipelines and ETL processes using SAS. Collaborating with business stakeholders and ensuring data governance within SAS environments.

Posted 4/21/2026full-time🇧🇪 BelgiumMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
ETLPythonSQL

About the role

Key responsibilities & impact
  • Design, develop, and maintain data pipelines and ETL processes using SAS Enterprise Guide and SAS Viya
  • Work on data preparation, transformation, and integration to ensure high data quality and consistency
  • Develop and optimize SAS programs and queries for performance and scalability
  • Contribute to the migration or implementation of SAS Viya platforms
  • Design and maintain data models and reporting layers for BI use cases
  • Collaborate with business stakeholders, analysts, and data scientists to translate business needs into technical solutions
  • Ensure data governance, security, and compliance within SAS environments
  • Monitor and troubleshoot data workflows and improve system performance
  • Stay up to date with SAS ecosystem evolutions and BI best practices

Requirements

What you’ll need
  • A degree in computer science, information systems, engineering, or a related field
  • At least 3 years of experience in BI/Data Engineering or a similar role
  • Strong experience with SAS Enterprise Guide
  • Experience or strong interest in SAS Viya platform (migration or implementation is a plus)
  • Solid understanding of ETL processes, data modeling, and data warehousing concepts
  • Good knowledge of SQL and relational databases
  • Experience in data analysis and reporting within a BI context
  • Programming mindset; knowledge of Python or other languages is a plus
  • Familiarity with data governance and data quality practices
  • Fluency in Dutch and/or French and English

Benefits

Comp & perks
  • Evolution: Personal follow-up during your career at CBTW and a buddy program during your first 6 months
  • Access to a wide range of trainings (hard & soft skills), private language courses, and e-learning platforms (Udemy, O’Reilly, …)
  • Opportunity to obtain certifications every year
  • Collaboration: Join our data community and share knowledge with peers
  • Participate in passion communities aligned with your interests
  • Opportunity for international collaboration and mobility
  • Competitive salary with a flexible mobility package (electric car, bike, rent/mortgage contribution, etc.)
  • Dynamic and innovative work environment with a strong focus on the latest technologies
  • A growing team of experts passionate about data and business transformation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
SAS Enterprise GuideSAS ViyaETL processesdata modelingdata warehousingSQLdata analysisreportingPythondata quality
Soft Skills
collaborationcommunicationproblem-solvingorganizational skills