Experience:5+ Years Key Responsibilities · Design and build scalable data solutions using Microsoft Fabric, including Lakehouse, Warehouse and OneLake capabilities.
· Develop and maintain data ingestion, transformation and orchestration pipelines using Fabric Data Factory and related services.
· Build robust dimensional and analytical data models that support enterprise reporting and self-service analytics.
· Develop and optimise Power BI semantic models, reports and dashboards using DAX and Power Query.
· Improve performance, reliability and maintainability across Fabric and Power BI workloads.
· Implement appropriate security, Row-Level Security (RLS), access controls and data governance practices.
· Support CI/CD, deployment pipelines, source control and environment promotion for data and BI assets.
· Work with business stakeholders and analysts to translate reporting and analytics requirements into sustainable technical solutions.
· Troubleshoot complex data, model, refresh and performance issues across the Microsoft data stack.
· Collaborate with architects, engineers and delivery leads to align solutions with the broader data-platform direction.
· Produce clear technical documentation and support knowledge transfer to team members.
Required Skills Experience · 5+ years of data engineering / BI experience with strong recent hands-on Microsoft Fabric and Power BI capability.
· Strong Microsoft Fabric experience across Lakehouse, Warehouse, OneLake, Data Factory/Pipelines and semantic models.




· Advanced Power BI development experience including DAX, Power Query, data modelling and performance optimisation.
· Strong SQL skills and practical experience with data transformation and dimensional modelling.
· Experience designing and operating enterprise-grade data pipelines and analytics solutions.
· Understanding of Microsoft Azure data services and integration patterns.
· Experience implementing security, governance, RLS and controlled access to analytical data.
· Working knowledge of Git, CI/CD and deployment practices for data and BI solutions.
· Ability to work independently on complex engineering tasks while collaborating effectively with business and technical stakeholders.
Desirable Experience · Microsoft Fabric or Power BI certification.
· Experience with Fabric migrations or modernisation from legacy data platforms.
· Experience with Azure Data Factory, ADLS, Synapse, Databricks or Snowflake.
· Experience with medallion architecture and contemporary lakehouse design patterns.
· Experience working with enterprise data governance, lineage, monitoring and cost optimisation.
· Experience in construction, property or operational analytics environments.
Expected Outcomes · Accelerated delivery of immediate Fabric and Power BI backlog.
· Reliable, performant and maintainable data pipelines and analytical models.
· Improved quality, governance and scalability of Microsoft data and analytics environment.
· Effective knowledge transfer and close collaboration with Data, AI, Integration Automation team.

📌 Senior Microsoft Fabric/Power Bi Engineer (Victoria)
🏢 The HR Ally
📍 Victoria