Stellenbosch, South Africa | Posted on 25/03/2026 Are youpassionate about turning data into actionable insights? Do you thrive ondesigning scalable, high-performance data solutions that power businessdecisions? If so, we want you to join our client’s dynamic team as a DataEngineer! 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. Key Responsibilities Workwith business stakeholders and data analysts to understand data requirementsand design scalable data architectures that meet those needs. Developand maintain data pipelines that extract, transform, and load data from varioussources into the data warehouse or data lake. Designand develop data models and schemas that support efficient querying andanalysis. Developand maintain data integration solutions to ensure data consistency and accuracyacross various systems and applications. Ensuredata quality and availability for analysis and reporting by implementing datavalidation, cleansing, and enrichment processes. Conductperformance tuning and optimization of data pipelines and data storagesolutions to ensure optimal performance and scalability. Collaboratewith other teams to integrate data engineering solutions with other systems and applications. Ensurethat data engineering solutions are secure, compliant, and meet data governancerequirements. Providedocumentation and support for data engineering solutions to ensure that theyare maintainable and scalable. Requirements Bachelor’sdegree in Commerce, Computer Science, Data Science, Engineering, or a relatedfield. Minimumof 5 years of experience in data engineering or a related field. Strongunderstanding of data warehousing concepts, ETL processes, and data modelingtechniques. Experiencewith big data technologies. Proficientin SQL and data querying. Experiencewith cloud-based data storage solutions such as AWS S3 or Azure Blob Storage. Experiencewith data integration solutions such as Dell Boomi and Azure Data Factory. Strongunderstanding of SAP BIP architecture, administration, and security. Knowledgeof SAP systems such as SAP ERP, SAP BW, and SAP HANA. Experiencewith integrating SAP BIP with other systems and applications. Experiencewith SAP BusinessObjects Cloud, SAP Lumira, or SAP Analytics Cloud is a plus(formerly SQL Data Warehouse). Experiencewith Azure data services such as Azure Data Factory, Azure Data Lake, and AzureDatabricks. Strongproblem-solving and analytical skills. Excellentcommunication and collaboration skills. If you’re readyto take your data engineering career to the next level, apply today and becomepart of a team that’s transforming how they work with data! #J-18808-Ljbffr