Data Engineer (Hybrid 1-day onsite)

About this role

About Us

Bridgit is a leading non-bank lender transforming the way Australians access property equity. Purpose-built to make property transactions faster and easier, we pioneered the Buy Now, Sell Later solution – empowering homeowners to unlock their property equity and move on their terms. With a simple digital application, fast approvals, and flexible loan options, we’re making property finance seamless and stress-free.

We’re now five years in the business and making huge strides. We have accredited over three-quarters of Australia’s broker network, and launched white label solutions with Australia’s largest aggregators – Connective, Aussie Home Loans, Finsure, and Loan Market Group – and we’re just getting started.

Our momentum has been recognised with awards such as Best Growth Story at the 2025 Fintech Awards, 2025 Finder People’s Choice Award for Lending Innovation, the finalist for Excellence in Lending (Business & Consumer) at the 2025 Finnies, Deloitte's tech fast 50 2025 and finally; being recognised as one of LinkedIn’s top 20 Start Up’s in Australia 2025.

The difference you’ll make

We’re looking for a Data Engineer with solid experience in Python, SQL, and modern lakehouse architectures in AWS + Databricks. In this role, you’ll help design, build, and maintain highly scalable batch and streaming data pipelines, optimizing performance and ensuring robust data quality across the enterprise.

You’ll work closely with senior engineers, analysts, and stakeholders to deliver reliable and efficient data solutions.

The ideal candidate will have a solid engineering mindset, hands-on experience across the full data lifecycle, and a passion for modern cloud and AI-driven data ecosystems.

What you'll do:

• Design, develop, and optimize data pipelines for both batch and streaming workloads using AWS + Databricks.
• Implement data models, transformations, and ingestion frameworks following best practices (e.g., Medallion architecture: Bronze–Silve...