Data Engineer
Summary
Data Engineer in Melbourne building and maintaining data models with SQL, dbt, and Streamlit, integrating new data sources into a broader revenue modelling platform. Works across data engineering and application development alongside senior engineers.
Salary: negotiable - paying. market rate
Data Engineer – SQL, dbt & Streamlit
We’re looking for a Data Engineer to join a growing team, working closely with senior engineering stakeholders to build and enhance data models that support key business functions.
This role will involve developing and implementing data models, integrating new data sources, and contributing to the ongoing development of a broader revenue modelling platform. You’ll have the opportunity to work across data engineering and application development, helping translate complex datasets into meaningful business insights.
Key Skills & Experience:
- Strong SQL skills and experience building and maintaining data models.
- Hands-on experience with dbt for data transformation and modelling.
- Experience with Streamlit, ideally building data-driven applications or internal tools.
- Experience integrating data models into wider data platforms or full-stack applications.
- Strong communication skills and the ability to work closely with senior engineers and wider technical teams.
Nice to Have:
- Experience working with payments data, payment processing platforms, or financial transaction datasets.
- Exposure to revenue modelling or financial data analytics.
This is a great opportunity for a hands-on Data Engineer who enjoys building scalable data solutions and working across both data modelling and application development.