Role: Lead Data Engineer

Location: Melbourne

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Must-Have Skills

- Strong expertise in SQL, Python, and PySpark
- Extensive experience with Azure Data Factory (ADF) and Azure Synapse Analytics.
- Hands-on experience with Delta Lake architecture and up-to-date data lakehouse implementations.
- Advanced knowledge of Data Modeling and Data Warehousing concepts.
- Strong exposure to the Microsoft Fabric ecosystem.
- Proven expertise in designing cloud-native data architectures and enterprise-scale solutions.
- Strong design thinking and problem-solving capabilities.
- Working knowledge of CI/CD pipelines and DevOps practices.
- Experience in cloud cost optimization, performance tuning, and resource governance.
- 10+ years of overall IT experience, including 10+ years in Data Engineering.
- Minimum 5+ years of leadership experience managing large-scale Data Engineering programs and teams.




- Proven track record of leading cross-functional teams and delivering complex enterprise data transformation initiatives.
- Experience building, hiring, and scaling high-performing Data Engineering teams.
- Experience working within multi-vendor and globally distributed delivery environments.
- Strong experience in stakeholder management, delivery governance, and executive-level communication.
- Familiarity with MLOps, Data Science, and AI-driven analytics solutions.
- Hands-on experience with Power BI and enterprise reporting platforms.
- Experience leveraging AI and Generative AI capabilities within Data Engineering ecosystems.

Interested Candidates can share their updated resumes on [email protected] or can reach me on +61283195549

📌 Lead Data Engineer (Melbourne)
🏢 CareCone Group
📍 Melbourne