We’re seeking a skilled Data Engineer with strong hands-on experience across Databricks, data modelling and Power BI to join a Melbourne-based team. This is an exciting opportunity for someone who enjoys building scalable data solutions, transforming complex datasets into meaningful insights, and enabling better business decision-making through high-quality data.
You’ll work across the data lifecycle, from ingestion and transformation through to data modelling and reporting, collaborating with technical teams and business stakeholders to deliver reliable, fit-for-purpose data solutions.

In this role, you will:

- Design, develop and maintain scalable data pipelines using Databricks, supporting efficient data ingestion, transformation and processing.
- Build and optimise data solutions using PySpark, Spark SQL and SQL.
- Develop and maintain robust data models to support analytics, reporting and business intelligence requirements.
- Work with data engineers, analysts and business stakeholders to translate requirements into effective technical solutions.
- Support the development of reporting and visualisation solutions using Power BI, ensuring data is accurate, accessible and meaningful.
- Improve data quality, performance and reliability across the data platform.
- Apply best practices in data architecture, modelling, transformation and development.
- Troubleshoot data issues and identify opportunities to improve performance, scalability and efficiency.
- Contribute to the ongoing enhancement of data engineering practices and platform capabilities.





To be successful in this role, you will bring:

- Proven experience as a Data Engineer or in a similar data-focused role.
- Strong hands-on experience with Databricks and modern data engineering practices.
- Solid SQL skills and experience working with complex datasets.
- Strong understanding of data modelling principles, including designing productive models for analytics and reporting.
- Experience developing Power BI reports and dashboards, with an understanding of the underlying data models.
- Experience with PySpark, Spark SQL or similar data transformation technologies.
- A sound understanding of data warehousing, data pipelines and ETL/ELT processes.
- Strong analytical and problem-solving skills, with a focus on data quality and performance.
- Excellent communication skills and the ability to work collaboratively with both technical and non-technical stakeholders.

Why consider this opportunity?

- Work across a modern data technology stack.
- Take ownership of meaningful data engineering and modelling initiatives.
- Combine hands-on engineering with business-facing analytics and reporting.
- Collaborate with a team focused on delivering quality data solutions and actionable insights.
- Be based in Melbourne, with the opportunity to contribute to impactful data initiatives.

Interested? If you’re a hands-on Data Engineer with experience across Databricks, data modelling and Power BI, we’d love to hear from you. Click on the 'Apply' button or email your CV to ••••@fourquarters.com.au

📌 Databricks Data Engineer (Melbourne)
🏢 FourQuarters Recruitment
📍 Melbourne