Senior Power BI & Fabric Analytics Engineer

About the Role

We are seeking a Senior Power BI & Microsoft Fabric Specialist with strong end-to-end analytics and modern data platform experience.

The successful candidate will be comfortable operating across data engineering, semantic modelling, report development and executive-level analytics, delivering scalable and business-focused solutions within a Microsoft Fabric environment.

This role requires a highly analytical professional who can bridge the gap between business requirements and technical implementation while driving best practices in analytics, reporting and data management.

Minimum Requirements

• Matric / Grade 12 Certificate.
• Microsoft Power BI Certification.
• Bachelor's degree in Mathematics, Statistics, Computer Science, Data Science, Informatics, Information Systems, Data Engineering, Operations Research or a related field.
• Minimum 5 years' experience as a BI Analyst, BI Developer, Data Analyst, SQL Developer, Insights Analyst or similar role.
• Advanced Power BI expertise, including:
  • DAX development
  • Semantic model design
  • Report and dashboard development
  • Performance optimisation
  • Row-Level Security (RLS) and Object-Level Security (OLS)
  • Deployment pipelines
• Strong proficiency in Microsoft Fabric.
• Hands-on experience with:
  • Lakehouses
  • Warehouses
  • OneLake
  • Data Pipelines
  • Dataflows Gen2
  • Notebooks
• Understanding of Direct Lake, DirectQuery and Import connectivity modes.
• Advanced Power BI data modelling skills beyond standard report development and visualisation.
• Strong analytical, problem-solving and communication skills.
• Ability to work independently and collaboratively.
• Strong verbal and written English communication skills.

Additional Requirements

• Clear criminal record.
• Valid driver's licence and own reliable transport.
• Must reside in Gauteng.

Key Performance Areas

Data Platform & Engineering

• Design, develop and maintain scalable Microsoft Fabric and Power BI solutions.
• Apply lakehouse and modern data platform concepts, including Delta Tables, Medallion Architecture, ETL/ELT, schema evolution and analytics solutions built directly on lake storage.
• Develop and support data engineering solutions using SQL, Spark/PySpark, APIs, Azure SQL integrations and data quality controls.

Data Modelling & Performance Optimisation

• Apply database and query engine fundamentals.
• Optimise performance across SQL, DAX, Spark SQL, Power BI and Microsoft Fabric workloads.

Analytics & Business Intelligence

• Translate business requirements into scalable data models and analytical solutions.
• Define and maintain KPIs and business metrics.
• Deliver executive-ready dashboards, reports and insights.
• Ensure solutions align with governance, security and compliance standards.

AI & Innovation

• Leverage Microsoft Copilot and AI capabilities across data ingestion, modelling, analytics and user adoption.
• Evaluate emerging Microsoft Fabric and AI capabilities to drive business value and innovation.

Governance & Platform Administration

• Support data governance initiatives and security best practices.
• Monitor and optimise Fabric capacity utilisation and platform performance.
• Contribute to analytics development standards and best practices.

Advantageous Qualifications

• Microsoft Certified: Fabric Analytics Engineer Associate (DP-600).
• Experience with Azure services and cloud-based data platforms.
• Experience with enterprise data governance frameworks and analytics platform administration.

We reserve the right not to make an appointment to any advertised position.

Whilst preference is given to existing employees at all times and the choice made is purely on merit, Historically Disadvantaged Candidates and Black Female Candidates are encouraged and supported in the FSG team. Whilst black female candidates will be given priority as per our transformation policy subject to the above criteria.

Fidelity Services Group (Pty) Ltd supports global fair practice and business ethics on continuous development of our human capital as the key resource to our success in the markets in which we participate.

Should you not be contacted regarding this position within 10 working days from the closing date, please regard your application as unsuccessful.