Cloud Data Engineer (12-Month Contract) at DeARX Services (Pty) Ltd

• 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