Job Title

Location: Melbourne/ Sydney, Australia - Hybrid Eligibility: Candidates must have the right to work in Australia (Citizen, PR, Valid Visa holders). Key Responsibilities Design and develop scalable data pipelines and data platforms on Azure Build and optimize ETL / ELT pipelines using Azure Data Factory and Azure Databricks (Spark) Develop high-performance data models and transformations using SQL / T-SQL Implement CI/CD pipelines and follow strong engineering best practices Work with stakeholders to translate business requirements into technical solutions Optimize data performance, cost, reliability, and security Monitor and troubleshoot data workflows and production issues Ensure data quality, governance, and compliance standards Collaborate with cross-functional engineering and analytics teams Skills 10+ years of experience as a Data Engineer Strong handson experience with Azure Databricks (Spark) Strong experience with Azure Data Factory Advanced proficiency in SQL / T-SQL Excellent engineering practices and cloud architecture knowledge Please drop your CV to [email protected] #J-18808-Ljbffr