Johannesburg, South Africa | Posted on 24/03/2026 We are looking for two highly skilled Platform Data Engineers to join a cutting‑edge Customer Save & Open API team . This is not your typical data role — it’s a hybrid of Data Engineering and Azure Platform Engineering , where you will play a key role in building and enhancing a modern, scalable One Data Platform (ODP) aligned to enterprise‑wide data strategy. You’ll be working on high‑impact data products , enabling advanced analytics, real‑time insights, and next‑generation customer experiences. As a Platform Data Engineer, you will: Translate business requirements, architecture, and data models into scalable technical solutions Design and build metadata‑driven data ingestion pipelines using Azure Data Factory and Databricks Develop and maintain the Enterprise Data Warehouse (Kimball methodology) Build data products using Databricks and Microsoft Fabric (Lakehouse, Warehouse, Pipelines, Semantic Models) Implement end‑to‑end data engineering lifecycle within the One Data Platform (ODP) Engineer real‑time streaming solutions using Azure Event Hubs and Stream Analytics Ensure data quality, testing, and performance optimization across pipelines Design reusable Azure templates and deployment components Promote data governance, security, and best practices (Purview, Unity Catalog) Collaborate closely with business stakeholders and cross‑functional teams Contribute to Group Data Engineering standards, frameworks, and best practices Requirements What You Bring Core Experience 6+ years in Data Engineering / Platform Engineering Strong experience in Azure data ecosystem Hands‑on expertise in Microsoft Fabric (Lakehouse, Pipelines, Semantic Models) Proven experience with Apache Spark for large‑scale data processing Strong SQL skills (T‑SQL) and data analysis capability Technical Skills ADLS Gen2 Databricks (including Unity Catalog) Data modelling: Kimball & Data Vault 2.0 Programming: Python, SQL, C# DevOps & Automation Automated deployment pipelines Security & Governance Data governance tools (Microsoft Purview ) Nice to Have Experience in Banking / Financial Services Exposure to Open Banking technologies Knowledge of Data Mesh architectures Qualifications & Certifications Bachelor’s degree in Computer Science or related field (or equivalent experience) AZ‑900 or DP‑203 / DP‑600 / DP‑700 Bonus:Databricks Certifications (Fundamentals / Data Engineer Associate / Architect) #J-18808-Ljbffr