Senior Data Engineer Location: Sydney (Hybrid / Office-based) Contract: 6 Months (Initial with view to extend) Rate: Up to $1,025/day inc. Super About the Role We're searching for a Senior Data Engineer to join a high-performing data team on a 6-month contract for a major enterprise transformation. This is an opportunity to make a real impact in a modern cloud-first environment, driving scalable and reliable data pipelines that support data-driven decision making. You'll be working with Azure, Databricks, SQL, and PySpark , building next-generation data solutions with the backing of a collaborative team and cutting-edge tech. Tech You'll Work With Cloud : Azure (Data Factory, Data Lake, Synapse Analytics, etc.) Compute & Processing : Databricks, PySpark Database & Storage : SQL (Azure SQL, SQL Server, etc.) Workflow & ORC : ETL/ELT, CI/CD pipelines, Git What You'll Be Doing Deliver end-to-end data pipelines using PySpark, Databricks, and Azure resources. Design, build, and optimise scalable data lake and data warehouse environments. Enable analytics and data insights through high-quality data modelling and transformation. Work closely with business and technical stakeholders to understand and deliver requirements. Follow best practices in cloud, data ops, and automation. About You 4 years in data engineering with strong expertise in Azure , Databricks , PySpark , and SQL . Proven experience with ETL pipelines, data lake architecture, and large-scale processing. Excellent collaboration, documentation, and stakeholder communication skills. Available to start within the next few weeks and based in Sydney. Why You'll Love This Contract Competitive day rate up to $1,025/day inc. Super Work on a leading cloud-first data environment with modern technologies Join a highly skilled, collaborative team working on critical business transformation Potential for contract extension and long-term engagement If you feel you possess the relevant skills to the above, apply now with most updated CV!
