For a client, we are seeking a highly skilled Data Engineer to join a dynamic HR Data Analytics team. This role is pivotal in a major SAP transformation project, focusing on transitioning the organization from the UNV to UNX environment. The position is set to start on 01/01/2025 and will conclude on 31/12/2025.

Key Responsibilities:

• Lead the migration from UNV to UNX in SAP BO, ensuring efficient and accurate data handling.
• Optimize SAP BW data structures to align with the UNX framework and address challenges arising from IT and data transformation projects.
• Extract, transform, and load (ETL) data from various SAP systems, including SAP HR, SAP BW, and related Oracle and SQL-based databases.
• Implement and maintain robust data pipelines, utilize MS Access and VBA coding for data integration, and perform validation and testing of data structures.
• Collaborate with IT, HR Analytics, and business teams to align the transformation project with organizational goals.
• Provide training and operational support to stakeholders on the UNX environment.
• Act as a subject matter expert for the transformation, identifying potential errors and reporting them to the data hub.
• Gather and translate business requirements into efficient data engineering solutions.
• Support the development and optimization of SAP BO reports and ensure compatibility with analytics and visualization tools such as Power BI.

Required Qualifications and Experience:

• Bachelor’s or Master’s degree in Computer Science, Data Analytics, Information Systems, or a related field.
• Over 5 years of experience with SAP BW, SAP BO, UNV/UNX transformation, SAS EG, Oracle, SQL.

Desired Skills and Certifications:

• Certifications in Power BI, SAP, SAS EG, or related technologies are a plus.
• Knowledge of SAP 4HANA, DAX, Python is preferable.
• Familiarity with HR data environments and HR metrics is beneficial.

Language Proficiency:

• Dutch: Business knowledge
• French: Business knowledge
• English: Business knowledge

Soft Skills:

• Strong analytical and problem-solving abilities.
• Excellent communication skills for cross-functional collaboration.
• Ability to work independently and manage multiple tasks simultaneously.
• Attention to detail and commitment to delivering high-quality work.