Data Engineer

Stellenbosch, South Africa | Posted on 25/03/2026

Are you passionate about turning data into actionable insights? Do you thrive on designing scalable, high-performance data solutions that power business decisions? If so, we want you to join our client’s dynamic team as a Data Engineer!

As a key memberof their data team, you’ll play a pivotal role in shaping the infrastructurethat drives our organization forward. You’ll collaborate with multiple teams,tackle complex data challenges, and ensure that our data is accurate,accessible, and ready for analysis.

• Workwith business stakeholders and data analysts to understand data requirement sand design scalable data architectures that meet those needs.
• Develop and maintain data pipelines that extract, transform, and load data from various sources into the data warehouse or data lake.
• Designand develop data models and schemas that support efficient querying andanalysis.
• Develop and maintain data integration solutions to ensure data consistency and accuracy across various systems and applications.
• Ensure data quality and availability for analysis and reporting by implementing data validation, cleansing, and enrichment processes.
• Conduct performance tuning and optimization of data pipelines and data storagesolutions to ensure optimal performance and scalability.
• Collaborate with other teams to integrate data engineering solutions with other systems and applications.
• Ensure that data engineering solutions are secure, compliant, and meet data governance requirements.
• Provide documentation and support for data engineering solutions to ensure that theyare maintainable and scalable.

• Bachelor’sdegree in Commerce, Computer Science, Data Science, Engineering, or a related field.
• Minimumof 5 years of experience in data engineering or a related field.
• Strong understanding of data warehousing concepts, ETL processes, and data modelingtechniques.
• Experience with big data technologies.
• Proficient in SQL and data querying.
• Experience with cloud-based data storage solutions such as AWS S3 or Azure Blob Storage.
• Experience with data integration solutions such as Dell Boomi and Azure Data Factory.
• Strong understanding of SAP BIP architecture, administration, and security.
• Knowledge of SAP systems such as SAP ERP, SAP BW, and SAP HANA.
• Experience with integrating SAP BIP with other systems and applications.
• Experience with SAP Business Objects Cloud, SAP Lumira, or SAP Analytics Cloud is a plus(formerly SQL Data Warehouse).
• Experience with Azure data services such as Azure Data Factory, Azure Data Lake, and Azure Databricks.
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration skills.

If you’re readyto take your data engineering career to the next level, apply today and become part of a team that’s transforming how they work with data!