We are looking for an experienced Microsoft Fabric Engineer to design, develop, and implement scalable data engineering solutions using Microsoft Fabric. The ideal candidate should have strong hands-on experience in data pipelines, Lakehouse architecture, data transformation, and modern cloud-based data platforms.

Key Responsibilities

- Design, develop, and maintain end-to-end data engineering solutions using Microsoft Fabric.
- Build and manage data pipelines using Fabric Data Factory and Dataflows Gen2.
- Implement Lakehouse and Data Warehouse solutions using Microsoft Fabric and OneLake.
- Develop data transformation and processing solutions using Python, PySpark, and SQL.
- Implement Medallion Architecture (Bronze, Silver, and Gold layers).
- Perform data ingestion, cleansing, transformation, and integration from multiple sources.
- Develop and optimise SQL queries and PySpark notebooks for large-scale data processing.
- Work with Azure Data Lake Storage, Azure Data Factory, and other Azure data services.




- Collaborate with data architects, analysts, and business stakeholders to deliver data solutions.
- Support CI/CD, version control, and deployment processes using Azure DevOps and Git.

Required Skills & Experience

- Strong hands-on experience in Microsoft Fabric.
- Valuable knowledge of Fabric components such as OneLake, Lakehouse, Warehouse, Data Factory, and Notebooks.
- Strong programming skills in Python, PySpark, and SQL.
- Experience developing ETL/ELT pipelines and data integration solutions.
- Good understanding of Medallion Architecture and modern data engineering practices.
- Experience in data modelling, data warehousing, and dimensional modelling.
- Exposure to Azure Data Lake Storage and Azure Data Factory.
- Experience with Azure DevOps, Git, and CI/CD practices.

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📌 Microsoft Fabric Engineer (Sydney)
🏢 CareCone Group
📍 Sydney