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.

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