Join a global brand on an exciting data transformation journey. This is a hands-on opportunity for a Data Engineer who enjoys solving problems, learning recent technologies, and contributing to a positive, collaborative team environment.

What You'll Be Doing

- Develop and maintain cloud-based data pipelines and workflows.
- Support the adoption and growth of Databricks within the data platform.
- Work across existing and greenfield environments to deliver scalable data solutions.
- Collaborate closely with analysts, engineers, and stakeholders to drive business outcomes.

What We're Looking For

- Around 4-6 years' experience in Data Engineering.
- Exposure to Databricks, or a strong desire to build your capability in the platform.
- Experience with AWS, Azure, or GCP (AWS preferred).
- Strong SQL and Python skills, with experience building ETL/ELT pipelines.
- Familiarity with Spark, data warehousing, lakehouse architectures, and modern data platforms.
- Experience with Git, CI/CD, APIs, and data integrations.





Most Importantly... We're looking for someone who:

- Is a genuine team player and positive contributor.
- Brings a pragmatic, solutions-focused mindset.
- Enjoys collaborating, sharing knowledge, and supporting others.
- Communicates well and builds strong relationships across the business.
- Is adaptable, curious, and eager to learn.

What's on Offer

- 6-month contract with extension potential.
- Hybrid working arrangements.
- Exposure to modern data technologies, including Databricks.
- A collaborative culture where you'll have the opportunity to learn, contribute, and make an impact.

Click APPLY or contact Angela Tan Jenkin at [email protected].

We are committed to fostering diverse and inclusive workplaces and welcome applications from people of all backgrounds, experiences, and identities.

📌 Data Engineer - Databricks (Melbourne)
🏢 Profusion PAC
📍 Melbourne