About the job 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.
What You’ll Be Doing
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.
What You’ll Need
Minimum Requirements
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.
Technical Skills
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!
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