Data Engineer (Freelance) – 6 Months – Brussels
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About the Role
We’re seeking a freelance Data Engineer to join our client’s HR Data Analytics team for a 6-month project based in Brussels. You’ll play a pivotal role in a high-impact SAP transformation, leading the migration from UNV to UNX environments. Your expertise will drive seamless data integration, infrastructure optimization, and empower advanced HR analytics and reporting. This is your opportunity to shape the data backbone of a major organization and deliver real business outcomes.
Why This Role Matters
This role is at the heart of a critical SAP transformation, ensuring the organization’s HR analytics capabilities are future-proofed and aligned with evolving business needs. Your work will directly impact the quality, reliability, and agility of HR data reporting, enabling smarter decision-making and operational excellence. The stakes are high: you’ll be the builder who ensures data flows seamlessly, insights are actionable, and the business stays ahead.
What You’ll Be Doing
- Lead the migration from UNV to UNX in SAP BO, ensuring efficient and accurate data handling throughout the transition.
- Optimize SAP BW data structures to align with the UNX framework and support advanced analytics.
- Extract, transform, and load (ETL) data from SAP HR, SAP BW, Oracle, and SQL-based databases.
- Design, implement, and maintain robust data pipelines to ensure reliable data delivery during the transformation.
- Utilize MS Access and VBA for advanced data integration and manipulation tasks.
- Validate and test data structures rigorously to maintain accuracy and consistency across universes and queries.
- Collaborate with IT, HR Analytics, and business teams to align transformation efforts with organizational goals.
- Provide training and operational support to stakeholders on the new UNX environment, ensuring smooth adoption.
- Act as a subject matter expert, troubleshooting technical issues and reporting potential errors to the Tribe data hub.
- Gather and translate business requirements into efficient data engineering solutions tailored to the UNX framework.
- Support the development and optimization of SAP BO reports in the new environment, ensuring integration with tools like Power BI.
What We’re Looking For
- 6+ years of relevant experience in data engineering, with a strong track record in SAP environments.
- Proven expertise in SAP BW, SAP BO, and UNV/UNX transformation projects.
- Hands-on experience with SAS EG, Oracle, SQL, and ETL processes.
- Advanced skills in MS Access and VBA coding for data integration.
- Experience in banking and data analysis environments is mandatory.
- Familiarity with HR data environments and HR metrics is a plus.
- Preferred: Experience with SAP 4HANA, DAX, Python.
- Strong analytical and problem-solving abilities; you thrive on tackling complex data challenges.
- Excellent communication skills for effective cross-functional collaboration.
- Ability to work independently, manage multiple priorities, and deliver high-quality results under tight deadlines.
- Attention to detail and a commitment to excellence in every deliverable.
Technical Skills
- SAP BW, SAP BO, UNV/UNX transformation
- SAS EG
- Oracle, SQL
- MS Access, VBA
- ETL processes
- Preferred: SAP 4HANA, DAX, Python
- Power BI (integration and reporting support)
Language Proficiency
- Dutch: Business proficiency
- French: Business proficiency
- English: Business proficiency
Other Requirements
- Bachelor’s or Master’s degree in Computer Science, Data Analytics, Information Systems, or a related field.
- Certifications in Power BI, SAP, SAS EG, or related technologies are a plus.
- Availability to work on-site in Brussels as required.
Ready to build what matters? Upload your CV and join a community of elite builders driving real impact with RELYzIT Talent.
#RELYzIT #TechJobs #FreelanceTalent #Brussels #DataEngineering #SAPBW #SAPBO #UNX #ETL #SQL #PowerBI #HRAnalytics
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- Posted
- Jul 22, 2025
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Brussels
- Company
- RELYzIT
Industries
Categories
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