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Global consultancy brand and metro location increase competition, but niche Microsoft Fabric and seniority moderate applicant density.
Core data engineering skills transfer across industries, but Fabric platform and EPCM domain preferences raise specificity.
Mandatory 7-10 years and specific Microsoft Fabric, Power BI, and ETL skills create strict screening.
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Design, build, and maintain end-to-end data engineering pipelines within Microsoft Fabric platform for the Australia Mining team.
Own data ingestion, transformation (Bronze-Silver-Gold layers), and preparation of AI-ready datasets powering reporting and analytics.
Lead platform foundational decisions including standards, capacity management, and cost optimization in a greenfield environment.
7-10 years of relevant experience in data engineering.
Strong hands-on skills in Microsoft Fabric components (Lakehouse, Warehouse, Data Factory, Dataflows Gen2, Notebooks).
Proficiency in Python, SQL, Spark/PySpark, and Power BI semantic modeling with Direct Lake mode.
Experience with ETL pipeline design including REST/OData connectors, incremental loads, and CDC patterns.
Experienced in building scalable, greenfield data platforms within enterprise or engineering/construction domains.
Skilled in advanced data modeling (star schema, slowly changing dimensions) and data quality frameworks.
Able to independently manage platform health, monitoring, and optimize costs while working in ambiguous, fast-evolving environments.