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



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