AusShore is currently working with a leading Australian household-name looking to bring on a Senior Data Engineer with strong experience across AWS, Databricks, Python and PySpark to support the delivery of a major data engineering initiative.

This is a genuine opportunity to work on large-scale data engineering projects, building, integrating and optimising modern cloud-based data platforms and delivering scalable data solutions that support critical business operations.

Within the role, you will be working closely with technical and business stakeholders to design, develop and deploy robust data solutions and contribute to the ongoing evolution of the organisation's data platform.

We're looking for someone with strong experience across:

- AWS cloud-based data engineering
- Databricks development and architecture
- Python and PySpark development
- Designing and building scalable ETL/ELT data pipelines
- SQL and up-to-date data platforms
- Data integration, transformation and optimisation




- Building and maintaining production-ready data solutions The role will suit someone who enjoys being hands-on, solving complex data challenges and building scalable, high-performing data solutions that deliver meaningful business outcomes.

What we can offer

- Initial 6-month daily rate contract with a strong likelihood of extension
- Opportunity to work with a leading Australian household-name organisation
- Exposure to large-scale AWS and Databricks projects who are and have used data for competive advantage for many years
- Collaboration with experienced technical and business stakeholders
- Opportunity to contribute to a significant data transformation initiative

If you're an experienced Senior Data Engineer with robust AWS, Databricks, Python and PySpark skills and want to work on meaningful projects with a leading Australian organisation, we'd love to hear from you.

📌 Senior Data Engineer - 6 Month Contract - Daily Rate (Melbourne)
🏢 AusShore
📍 Melbourne