Junior Data Engineer
Method Recruitment Manual
- Location
- Melbourne, VIC
- Type
- Full-time
About the role
- Building and maintaining data pipelines using Azure Data Factory, Synapse and Microsoft Fabric
- Helping design and implement lakehouse and modern data warehouse solutions, including medallion architecture
- Working with Azure Data Lake, OneLake, Delta tables and notebooks
- Developing data transformations in SQL and Python or PySpark
- Ensuring data quality, reliability and performance across client platforms
- Supporting senior engineers and architects on delivery across multiple client engagements
- Working closely with Power BI consultants to deliver data ready for reporting
- Contributing to documentation, DevOps practices and client handover
- 2 to 5 years of experience in data engineering or a closely related role
- Hands-on experience with the Microsoft Azure data stack, such as Data Factory, Synapse, Data Lake or Databricks
- Exposure to Microsoft Fabric, or a strong interest in getting deep into it
- Strong SQL skills and working knowledge of Python or PySpark
- Understanding of data warehousing and lakehouse concepts, including dimensional modelling
- Familiarity with source control and CI/CD, such as Azure DevOps or GitHub, is a plus
- Strong aptitude, curiosity and a genuine drive to learn
- Good communication skills and comfort working with clients
- Microsoft certifications such as DP-203, DP-600 or DP-700 are well regarded
- $90,000 to $110,000 plus super, depending on experience
- Permanent role based in Melbourne or Sydney
- Variety of client engagements across retail, finance, manufacturing and other industries
- Ongoing training, Microsoft certifications and mentoring from experienced engineers and architects
- Clear career progression in a growing consultancy
- A supportive, collaborative team culture

