Cloud Data Engineer (12-month contract)

Are you passionate about cloud technologies, big data, and building modern data platforms? We're looking for an experienced Cloud Data Engineer to join a leading bank in Sandton and help deliver enterprise-scale cloud data solutions that power analytics, AI, and business decision-making.

If you enjoy designing high-performance data pipelines, working with Azure cloud technologies, and transforming complex data into valuable business insights, this opportunity is for you.

As a Cloud Data Engineer, you will be responsible for designing, building, and optimising secure, scalable cloud-based data platforms and pipelines that support the bank's data-driven strategy.

Your responsibilities will include:

• → Designing and developing scalable cloud data pipelines for batch and real-time processing.
• → Building robust ETL/ELT solutions using Azure and modern data engineering technologies.
• → Developing and maintaining enterprise Data Lakes and Data Warehouses.
• → Working with Microsoft Fabric, Azure Data Factory, Databricks and Azure cloud services.
• → Developing data ingestion frameworks for structured, semi-structured and unstructured data.
• → Implementing DataOps practices, CI/CD pipelines and workflow orchestration.
• → Ensuring data quality, governance, lineage and metadata management.
• → Collaborating with Software Engineers, Data Scientists, Architects and business stakeholders to deliver scalable data products.
• → Supporting cloud security, data privacy and POPIA compliance.
• → Monitoring and optimising cloud data platforms for performance, scalability and reliability.
• → Contributing to platform innovation, automation and continuous improvement.

• Bachelor's Degree in Information Technology, Computer Science or a related field.
• 2-5 years' experience in Data Engineering, Business Intelligence or Software Engineering.
• Experience building enterprise cloud data solutions.
• Experience working in Agile delivery environments.

Experience with most of the following technologies:

• Microsoft Azure
• Microsoft Fabric
• Azure Data Factory
• Azure Databricks
• Python
• PySpark
• Apache Spark
• SQL
• Data Warehousing
• Data Lakes
• ETL / ELT Development
• CI/CD
• DataOps
• Infrastructure as Code (IaC)
• Kafka or Azure Event Hub
• Real-time and streaming data processing
• Metadata Management
• Data Quality & Data Governance

Advantageous experience:

• Ab Initio
• Azure Synapse
• SAS
• Denodo
• DB2 Warehouse
• Netezza

If you're ready to engineer the future of cloud data platforms and make an impact in one of South Africa's leading financial institutions, we'd love to hear from you. Apply today!