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 transparent 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 modern 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