If you are an experienced Azure Data Engineer with strong Databricks, Spark, SQL and ADF expertise, we would like to hear from you.
Role Overview
We are seeking a Senior Data Engineer with strong experience in Microsoft Azure, Databricks, Spark, SQL and Azure Data Factory to design, develop and deliver scalable data engineering solutions.
Key Responsibilities
- Design, develop and implement robust, scalable data engineering solutions on Microsoft Azure.
- Develop and optimise data pipelines using Azure Databricks, Spark and Azure Data Factory.
- Write and optimise complex SQL/T-SQL queries and data transformations.
- Implement robust engineering practices across development, testing, deployment and production support.
- Build and maintain CI/CD pipelines to support automated and reliable deployments.
- Work with stakeholders, architects and development teams to deliver high-quality data solutions.
- Troubleshoot performance, data quality and integration issues.
- Contribute to data platform standards, architecture and continuous improvement.
Essential Skills & Experience
- Degree in Engineering, Computer Science or a related technology discipline.
- 10+ years' experience as a Software Engineer or Data Engineer.
- Strong hands-on experience with Azure Databricks and Apache Spark – Mandatory.
- Strong hands-on experience with Azure Data Factory – Mandatory.
- Strong SQL/T-SQL skills.
- Strong CI/CD experience.
- Strong software/data engineering practices and development standards.
- Azure certification(s) or equivalent experience.
Azure Technologies
Mandatory:
- Azure Databricks / Spark
- Azure Data Factory
Desirable:
- Azure Synapse / Azure SQL Data Warehouse
- Azure Analysis Services
- Azure Cosmos DB
- Azure Event Hubs
- Azure ML
- Power BI
📌 Senior Data Engineer – Melbourne
🏢 The HR Ally
📍 Melbourne
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