We are seeking an experienced Data Engineer to join our iOCO Digital team. The ideal candidate will have at least 5 years of proven expertise in the Microsoft stack, with strong skills in Azure Data Services and Microsoft Fabric. This role offers the opportunity to work across diverse industries, designing and delivering scalable data solutions that enable advanced analytics and business insights. What you’ll do: Design, build, and maintain robust data pipelines using the Microsoft data ecosystem. Implement and optimize data solutions on Azure Data Lake, Azure Data Factory, Synapse Analytics, and Fabric. Develop and maintain ETL/ELT processes to ensure data quality, consistency, and reliability. Collaborate with architects, data scientists, and business analysts to deliver data models that support analytics and reporting. Ensure solutions follow best practices in performance, scalability, governance, and security. Support the migration of legacy systems to Azure and Microsoft Fabric environments. Stay up to date with new technologies within the Microsoft ecosystem and recommend innovative approaches. Your expertise: Minimum of 5 years’ experience as a Data Engineer. Strong experience with the Microsoft stack, including: SQL Server / T-SQL SSIS, SSRS, SSAS Power BI (nice to have for reporting support) Hands-on experience with Azure Data Services: Data Factory, Synapse Analytics, Data Lake, Databricks (advantageous). Proven working knowledge of Microsoft Fabric. Solid understanding of data modeling, warehousing, and integration principles. Experience working in Agile environments. Excellent problem-solving skills with a strong focus on delivery. Other information applicable to the opportunity: Contract position (OnSite) Location: Cape Town

PBT Group is seeking an experienced Data Engineer to join our client’s dynamic data team. The successful candidate will work closely with senior stakeholders to design, develop, and maintain robust data pipelines and cloud-based solutions. This role requires a strong understanding of data engineering principles , data lake management , and cloud technologies (preferably GCP , but Azure or AWS experience will also be considered). Key Skills & Experience 4–8 years’ experience in Data Engineering . Strong SQL skills and experience with data pipeline development . Hands-on experience with GCP (BigQuery, Dataplex) or equivalent cloud platforms ( Azure / AWS ). Experience managing Data Lakes , messaging queues , and pub/sub models . Proven ability to optimise, maintain, and scale cloud-based data environments. Strong analytical and problem-solving skills. Advantageous Exposure to data orchestration tools and real-time data streaming . Experience with ETL design and data modelling best practices. Familiarity with Python or other scripting languages. Additional Information The role can be based in either Cape Town or Johannesburg . Candidates with strong Azure experience are encouraged to apply — skills are easily transferable to GCP. Immediate availability will be advantageous.