Power BI Engineer

Key Responsibilities

• Capture and analyse
  business requirements for BI solution design.
  
• Develop solution
  designs for BI and reporting products aligned with business needs.
  
• Ensure data accuracy
  and integrity through rigorous testing processes.
  
• Implement and maintain
  CI/CD processes to support BI and reporting product development.
  
• Produce and maintain
  high -quality internal and customer -facing documentation.
  
• Train and support
  users in transforming data into actionable insights.
  
• Collaborate and
  communicate effectively with internal and external stakeholders.
  
• Provide expert input
  into metric development and reporting design to monitor and improve data
  quality.
  
• Develop Power BI
  reports and dashboards for the Payments team, ensuring alignment with
  internal branding standards and seamless integration with Oracle
  databases, Microsoft Fabric OneLake, and data warehouse–sourced data.
  

Essential Requirements

• Proven experience
  designing scalable data models and semantic models in Power BI and Microsoft
  Fabric (including star schema, relationships, calculation groups, and
  model optimization).
  
• Experience working
  with Fabric OneLake and similar cloud -based data platforms.
  
• Demonstrated expertise
  in Power BI, including Power BI Desktop, Power Query (M), DAX, Tabular
  Editor, AML toolkit, Power Pivot, and Power BI Service.
  
• Strong knowledge of
  SQL for data manipulation, cleansing, transformation, and validation;
  experience with BigQuery is preferred.
  
• Familiarity with data
  warehousing concepts, ETL processes, and dimensional modelling is
  preferred.
  
• Ability to build
  insightful dashboards and reporting solutions in Power BI, including
  reports from non -SQL data sources (e.g., API, Microsoft Excel, Microsoft
  Dynamics).
  
• Knowledge of payment
  processes and systems such as SWIFT and FGPP would be a bonus
  
• Experience documenting
  data products and managing changes and service impacts.
  
• Strong analytical,
  communication, and stakeholder engagement skills.