February 11, 2026 
Melbourne 
Full-time Skills/Experience:
- 8–12 years of hands on experience as a Data Engineer or similar role.
- Strong expertise in Azure Databricks (PySpark, Delta Lake, MLflow).
- Solid working knowledge of Azure Synapse Analytics.
- Proven experience designing and implementing data lakehouse architectures.
- Strong proficiency in SQL, Python, and distributed data processing.
- Experience working with Azure Data Factory, Azure Event Hub, or equivalent ingestion tools.
- Familiarity with DevOps practices, version control, and CI/CD pipelines.
- Experience in Data & AI environments—supporting ML pipelines, feature stores, or model operationalization is a plus.
- Azure certifications (e.g., DP 203: Azure Data Engineer Associate).
- Experience with medallion architecture and cloud-native ETL design patterns.
- Knowledge of real time streaming technologies (Spark Structured Streaming, Kafka).
- Experience collaborating with data scientists and business teams.