Senior Power BI Engineer

Job Profile Summary

The Business Intelligence Data Engineer Senior designs and implements secure, scalable data solutions that support enterprise reporting and analytics needs. This role focuses on:

• Optimizing data processes
• Maintaining Business Intelligence (BI) environments
• Enabling self-service analytics through robust:
  • Data models
  • ETL pipelines
  • Metadata/Semantic layers
• Creating and supporting complex visualizations
• Mentoring teams on data design and management best practices

Responsibilities

• Architect, design, develop, and implement secure, scalable data solutions including:

  • Data models
  • Databases
  • BI semantic (metadata) layers
  • ETL processes
  • Integrations

• Enable BI resources to support key business decision-making.

• Optimize reporting and analytics processes to:

  • Automate data availability
  • Simplify self-service analytics for internal and external customers.

• Administer and maintain BI data environments, including:

  • Data connectivity
  • System performance
  • Datamarts
  • Security

• Create and support both simple and complex reports and visualizations.

Must Have skills

• Bachelor's degree or equivalent experience in:

  • Application Development
  • Database Administration (DBA)
  • Data Analytics

• Strong experience with ETL tools such as:

  • SSIS
  • Informatica
  • SAP Data Integration Services (DIS)
  • Similar tools

• Strong communication skills with business and IT stakeholders.

• Strong desire to master modern BI tools.

• API integration and/or development skills preferred.

• Ability to mentor teams in designing data solutions optimized for analytics.

• Minimum 5+ years of overall IT experience.

• Minimum 3+ years in reporting or reporting-data-related roles.

Preferred Nice to have skills

• Experience supporting:

  • WebFOCUS
  • Power BI
  • Similar BI platforms

• Metadata management experience.

• Reporting environment administration.

• Experience translating business requirements into effective data designs.

• Ability to influence teams and champion proper enterprise-wide data management practices.

• Passion for mentoring and enabling BI adoption across the organization.

Key Skills Expected

Based on the JD, the strongest focus areas are:

• Data Modeling
• ETL Development (SSIS/Informatica/SAP DIS)
• Power BI / BI Platforms
• BI Environment Administration
• Metadata Management & Semantic Layers
• API Integrations
• Reporting & Visualization
• Data Warehouse / Datamarts
• Performance Optimization
• Mentoring and Data Governance