Project Manager overseeing payroll system implementation with global outsourcing partner. Leading cross - functional teams and stakeholder engagement for project success.
About the role
- Data Engineer at CBTW handling data pipelines and ETL processes using SAS. Collaborating with business stakeholders and ensuring data governance within SAS environments.
Responsibilities
- 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
- 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
- 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
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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