Cloud Data Engineers (OVA5720)

We're Hiring: Cloud Data Engineer (Azure) | Banking Industry 12 months contract-Hybrid Are you passionate about building modern cloud-based data platforms that power advanced analytics, AI, and business intelligence? Our client, a leading financial institution, is looking for an experienced Cloud Data Engineer to join their growing data team. About the Role The Cloud Data Engineer is responsible for preparing enterprise-grade data products and driving technical thought leadership to support advanced analytics initiatives. This role involves designing, developing, and maintaining scalable data solutions on Microsoft Azure, ensuring the delivery of clean, reliable, and fit-for-purpose data across the organisation. You will build robust data pipelines, integrate APIs, and leverage Azure services to enable advanced analytics, machine learning, and business intelligence capabilities while supporting the bank's data-driven strategy. Key Responsibilities Design, build, and maintain scalable data pipelines using Azure, Microsoft Fabric, Databricks, Ab Initio, Python, PySpark, and Spark Develop and optimize data ingestion, transformation, and delivery processes across Data Warehouses and Data Lakes Implement DataOps practices, workflow orchestration, automated testing, and CI/CD pipelines Integrate APIs and support real-time data consumption for business applications Enable low-latency and streaming data solutions using Kafka, Azure Event Hub, and related technologies Ensure data quality, governance, lineage, metadata management, and regulatory compliance (POPIA) Manage and optimize cloud and hybrid data platforms for performance, scalability, and reliability Collaborate with Data Scientists, Analysts, Architects, and Business Stakeholders to deliver innovative data solutions Drive continuous improvement, innovation, and technical best practices across the data engineering function Requirements Undergraduate Degree Experience in Data Engineering, Data Platforms, or Business Intelligence environments Strong expertise in Microsoft Azure, Azure Data Factory, Microsoft Fabric, Databricks, Python, and PySpark Experience with DataOps, Infrastructure as Code, workflow orchestration, and CI/CD practices Knowledge of data governance, data quality, metadata management, and enterprise data architectures Experience with API integration and real-time data processing technologies