Job Description
Location: Melbourne, VIC
n Role Type: Permanent
n Work Rights: Australian PR / Citizens preferred
n Experience: 10+ years
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If you are an experienced Azure Data Engineer with strong Databricks, Spark, SQL and ADF expertise, we would like to hear from you.
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Role Overview
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We are seeking a Senior Data Engineer with solid experience in Microsoft Azure, Databricks, Spark, SQL and Azure Data Factory to design, develop and deliver scalable data engineering solutions.
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Key Responsibilities
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Design, develop and implement robust, scalable data engineering solutions on Microsoft Azure.
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Develop and optimise data pipelines using Azure Databricks, Spark and Azure Data Factory.
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Write and optimise complex SQL/T-SQL queries and data transformations.
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Implement strong engineering practices across development, testing, deployment and production support.
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Build and maintain CI/CD pipelines to support automated and reliable deployments.
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Work with stakeholders, architects and development teams to deliver high-quality data solutions.
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Troubleshoot performance,



data quality and integration issues.
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Contribute to data platform standards, architecture and continuous improvement.
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Essential Skills & Experience
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Degree in Engineering, Computer Science or a related technology discipline.
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10+ years' experience as a Software Engineer or Data Engineer.
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Strong hands‐on experience with Azure Databricks and Apache Spark - Mandatory.
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Strong hands‐on experience with Azure Data Factory - Mandatory.
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Strong SQL/T-SQL skills.
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Strong CI/CD experience.
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Strong software/data engineering practices and development standards.
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Azure certification(s) or equivalent experience.
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Azure Technologies
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Mandatory:
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Azure Databricks / Spark
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Azure Data Factory
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Desirable:
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Azure Synapse / Azure SQL Data Warehouse
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Azure Analysis Services
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Azure Cosmos DB
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Azure Event Hubs
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Azure ML
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Power BI
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📌 Senior Data Engineer - Melbourne (Victoria)
🏢 The HR Ally
📍 Victoria