Senior Data Engineer – Melbourne

Location: Melbourne VIC
Role Type: Permanent
Work Rights: Australian PR / Citizens preferred
Experience: 10 years

If you are an experienced Azure Data Engineer with strong Databricks Spark SQL and ADF expertise we would like to hear from you.

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.

• 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 strong 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.

• 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.

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