Full Time
2000 AUD
40
Sep 23, 2026
If you do not have 5+ years of experience in SQL and Python please do not apply.
About the Role
We are looking for a skilled Data Engineer to design, build, and maintain robust data pipelines on Databricks that support our analytics and business intelligence needs. The ideal candidate will have strong SQL expertise, working knowledge of Python for automation and scripting, and sharp analytical skills to troubleshoot data issues and derive insights.
Key Responsibilities
• Design, develop, and maintain scalable ETL/ELT pipelines in Databricks and across cloud data platforms
• Write complex, optimized SQL queries for data extraction, transformation, and validation
• Build automation scripts and light data processing utilities using Python
• Investigate data quality issues, identify root causes, and implement fixes
• Collaborate with BI/analytics teams to ensure data models meet reporting needs
• Monitor pipeline performance and troubleshoot failures in production environments
• Document data flows, transformations, and pipeline architecture
Required Skills
• 5+ years of experience in a data engineering or similar role
• SQL: Strong hands-on experience writing and optimizing complex queries, stored procedures, joins, window functions, and performance tuning across relational databases / data warehouses
• Python: 5+ years knowledge of Python for scripting, data manipulation (e.g., pandas), and pipeline automation
• Analytical Skills: Strong problem-solving ability, attention to detail, and capacity to interpret data patterns and troubleshoot discrepancies
• Experience with cloud data platforms (e.g., Databricks, Azure, SQL WH)
• Familiarity with version control (Git) and CI/CD practices