Data BI Engineer

We are seeking a Mid/Senior Data Engineer to design build and optimize scalable data solutions that support business intelligence analytics and strategic decision-making. This is a hands-on role focused on developing modern data pipelines data warehouses and Power BI solutions while ensuring data quality performance and reliability.

Working closely with business and technical teams you will translate business requirements into robust data solutions and contribute to the ongoing evolution of the organizations data platform and architecture.

• Translate business requirements into technical data solutions.
  
• Participate in and contribute to architectural forums within the Business Intelligence (BI) team.
  
• Design and implement ETL/data pipeline architectures using tools like ADF (Azure data factory).
  
• Automate processes and design system architectures.
  
• Develop and manage Power BI semantic models including understanding DAX queries and cubes.
  
• Visualisation and Dashboarding: translate metrics into visual Power BI reports
  
• Integrate data between legacy and modern systems.
  
• Create ad-hoc SQL scripts to support user queries.
  
• Deploy and manage data solutions on cloud platforms like Azure.
  

• Understanding of Data Warehouse modeling and Techniques: Data schemas Facts dimensions and building data warehouses.
  
• Writing complex SQL queries joins views and stored procedures to extract and manipulate data.
  
• Apply knowledge and practical experience in the Data Warehouse Life Cycle.
  
• Perform data modeling including dimensional multi-dimensional and relational models.
  
• Utilize TSQL for database management and querying.
  
• Support batch processing and scheduling tasks.
  

• Create and maintain technical documentation such as data architecture diagrams ETL workflows and system documentation to ensure maintainability.
  
• Participate in design peer and code reviews.
  
• Provide daily technical functional and operational support for existing BI solutions.
  

• Monitor data pipeline and infrastructure performance.
  
• Identify bottlenecks and optimize for scalability reliability and cost-efficiency.
  
• Troubleshoot and resolve data-related issues.
  

• Contribute to evolving the architecture towards modern platforms whether on-premise or cloud-based.
  
• Maintain working knowledge of Power BI reporting.
  
• Ensure technical skills stay relevant to emerging industry trends and organizational strategies including Azure Cloud Solutions and Artificial Intelligence initiatives.