Senior Cloud Data Engineer

As a Senior Cloud Data Engineer, you will be responsible for designing, building, and maintaining robust, scalable data pipelines within a Cloud environment; 482 Visa sponsorship is available for the right candidate. You will bridge the gap between raw data collection and high-level business intelligence, ensuring that data is "AI-ready" for advanced analytics teams. This role requires a "hands-on" developer who understands the nuances of Perth’s large-scale industrial data sets.

• Pipeline Development: Build and automate complex ETL/ELT pipelines using Azure Data Factory, Synapse, or Databricks.
• Data Architecture: Implement "Lakehouse" architectures (Medallion: Bronze/Silver/Gold) to manage structured and unstructured data.

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• Infrastructure as Code (IaC): Deploy and manage cloud data infrastructure using Terraform or Bicep.
• Code Quality: Write production-grade Python (PySpark) and SQL code, ensuring all pipelines are version-controlled via Git/Azure DevOps.
• Data Modelling: Design scalable data models (Star Schema/Data Vault) optimized for Snowflake or Power BI consumption.
• Security & Compliance: Ensure all data solutions adhere to Australian data sovereignty and security standards (AES/IRAP).

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• Cloud Platform: 3+ years of expert-level experience in Microsoft Azure (highly preferred in Perth) or AWS.
• Processing: Deep experience with Apache Spark and Databricks.

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• Languages: Mastery of SQL and Python.
• Transformation: Proficiency with dbt (data build tool) for modular SQL modeling.
• Storage: Extensive experience with Data Lake Storage (ADLS Gen2) and Snowflake.
• CI/CD: Practical experience with Azure DevOps or GitHub Actions for automated deployments.