If Azure Data Factory, Databricks and PySpark are part of your daily toolkit, I think you'll be interested in this one. I'm hiring an Azure Data Engineer in Sydney for a permanent role, building and maintaining scalable data pipelines and integration solutions on the Microsoft Azure data platform.

Location:
Sydney [hybrid/onsite] Type: Permanent, full time

Experience:
6
- 12 years What the role involves:
• Designing, developing and maintaining scalable data pipelines and data integration solutions
• Working across Azure Data Factory, Azure Databricks, Azure Data Lake Storage, Azure Synapse Analytics and Azure SQL
• SQL, data modelling, performance tuning and database optimisation
• Supporting data quality, validation, monitoring and troubleshooting
• Developing solutions in Python, PySpark or Scala
• Working within data governance, security, privacy and compliance requirements

Experience:




• 5+ years of hands-on experience in Data Engineering, Data Warehousing, or a related data-focused role
• Proven experience designing, developing, and maintaining scalable data pipelines and data integration solutions.
• Hands-on experience with Microsoft Azure data platform services, including Azure Data Factory (ADF), Azure Databricks, Azure Data Lake Storage (ADLS), Azure Synapse Analytics, and Azure SQL.
• Experience with SQL, data modelling, performance tuning, and database optimisation.
• Experience supporting data quality, validation, monitoring, and troubleshooting activities
• Experience developing solutions using Python, PySpark, or Scala.
• Experience with data governance, security, privacy and compliance requirements.

📌 Azure Data Engineer (Melbourne)
🏢 Zentact Systems
📍 Melbourne