Fabric Data Engineer

5 days ago

Norwest New South Wales, Australia DATAIQ Full time $80,000 - $160,000 per year

About the role

Join DataIQ as we expand our Data & AI practice to build modern data products on Microsoft Fabric. You'll own ingestion, orchestration and transformation using Data Factory in Fabric and Spark, delivering a variety of services to clients that power enterprise semantic models and reports.

Australian work rights are required for this position.

What you'll do

  • Lead, build and manage the Microsoft Fabric platform for client engagements, including governance, capacity planning, and performance optimisation.
  • Build and Oversee the Reporting function, ensuring timely delivery of semantic models and Power BI reports aligned with business needs.
  • Ingest and transform data using Fabric Data Factory, pipelines, and Spark notebooks (PySpark).
  • Model curated Delta tables and medallion layers optimized for Direct Lake and semantic models.
  • Automate reliability: parameterized pipelines, scheduling, monitoring, alerting; build runbooks for recovery.
  • Tune performance and cost (partitioning strategies, incremental refresh, capacity awareness).
  • Own performance, cost, and reliability decisions (capacity planning, refresh patterns, incremental strategies, observability).
  • Support pre-sales: scope, estimates, SoWs, and executive briefings; contribute to POVs and demos.
  • Mentor and manage team members; uplift delivery standards and reusable assets (templates, pipelines, model patterns).
  • Collaborate with stakeholders to align data products with strategic goals and reporting requirements.

What you'll bring

  • Hands-on experience with Microsoft Fabric (Data Factory, Synapse Data Engineering) and Spark/PySpark, with a minimum of 5 years' experience with Data Factory.
  • A minimum of 2 years hands-on Microsoft Fabric experience is required.
  • Strong SQL and Delta Lake experience; medallion architecture patterns.
  • Deep knowledge of OneLake, Data Factory in Fabric, Synapse Data Engineering/Spark, Real-Time Analytics, and Power BI (Service, Desktop).
  • Experience managing enterprise reporting functions and aligning data models with business KPIs.
  • CI/CD and deployment pipelines knowledge; Git familiarity.
  • Nice to have: KQL, streaming/Eventstreams, Databricks/Azure background, Purview lineage.
  • Certification preferred: Fabric Data Engineer Associate (or DP-203 legacy) and PL-300 familiarity.

How to apply

Apply with your CV and a short cover letter highlighting recent Fabric/Spark projects. Portfolio or Git links welcome.

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