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Senior Data Engineer – Melbourne
Job Location:
Monthly Salary:
Posted:
14 August 2026 (5 hours ago)
Posted:
Application Deadline:
11 November 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
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.
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 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.
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
