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Senior Data Engineer - Flinders University
Data Engineer
Senior Data Engineer leading enterprise data and analytics solutions on Azure, designing and deploying pipelines with Azure Data Factory, Databricks, and Power BI, while ensuring robust data architecture, governance, and performance across the full data lifecycle.
About the role
Key Responsibilities
- Design, develop, and maintain scalable data pipelines using Azure Data Factory and Databricks to ingest, transform, and load enterprise data.
- Architect and optimize data models and warehouses, ensuring high performance and data quality for analytics and reporting.
- Build and maintain interactive Power BI dashboards and reports, translating business requirements into actionable insights.
- Collaborate with cross‑functional teams to define data governance, security, and compliance standards.
- Provide technical leadership, mentoring junior engineers, and driving best practices across the data engineering team.
Requirements
- 5+ years of experience in data engineering with a strong focus on Azure services.
- Proficiency in Azure Data Factory, Databricks (Spark), and Power BI.
- Solid SQL skills and experience with data modeling and warehousing concepts.
- Strong analytical, problem‑solving, and communication skills.
- Experience with data governance, security, and compliance frameworks is a plus.
Skills
databrickspower bisql