Senior Data Engineer

• Translate business requirements into technical data solutions
  
• Understanding and practical experience in the Data Warehouse Life Cycle.
  
• Participate in and contribute to architectural forums within WCG BI team
  
• Data modelling (Dimensional, multi -dimensional and Relational)
  
• ETL/Data Pipeline Architecture and implementation.
  
• Process Automation and Architecture.
  
• Understanding of DAX queries and Cubes (semantic models).
  
• Data integration between legacy and modern systems.
  
• Interface with users to understand and agree on specifications
  
• Ad -hoc scripts to facilitate user queries
  
• Cloud Platforms: Deploy and manage data solutions on cloud platforms such as Azure
  
• Batch support
  
• Batch scheduling
  
• TSQL (for database management and querying)
  
• Documentation: Create and maintain technical documentation, including data architecture diagrams, ETL workflows, and system documentation, to facilitate understanding and maintainability of data solutions.
  
• Participate in design, peer and code reviews
  
• Daily technical, functional and operation support for existing Business Intelligence solutions.
  
• Monitoring, Optimization and Troubleshooting: Monitor data pipelines and infrastructure performance, identify bottlenecks and optimize for scalability, reliability, and cost -efficiency. Troubleshoot and fix data -related issues.
  
• Contribute to the ideology and growth of moving the architecture to modern platforms, on -premise and/or cloud.
  
• Working knowledge of PowerBI reporting.
  
• Ensure technical skills remain relevant to emerging industry or organisational technical strategies e.g. Azure Cloud Solutions, Artificial Intelligence initiatives.
  

Requirements

• Bachelor’s degree in Computer Science, Information Systems, Engineering, Data Science, or a related field
  
• Relevant postgraduate qualification (Honours or Master’s) will be advantageous
  
• Microsoft Azure certifications such as:
  
• Azure Data Engineer Associate (DP -203)
  
• Azure Fundamentals (AZ -900)
  
• Strong practical experience with Azure Data Factory and Power BI Fabric