Lead Data Engineer
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 four years old and making huge strides. We have accredited over two-thirds 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
As our Lead Data Engineer, you will be the architect of our data future. You won't just be moving data; you will be responsible for designing and delivering a modern enterprise lakehouse platform primarily on Microsoft Fabric and Azure.
You will blend advanced engineering capabilities with proven team leadership . Your work will transition us from ad-hoc data processing to a robust, scalable Medallion architecture that ensures the integrity and freshness of our most critical business data.
You will own the platform end-to-end while guiding engineers through architecture design, code quality standards, and delivery execution.
What you'll do;
Architecture & Platform Design
Design and implement modern Lakehouse platforms using Microsoft Fabric and Azure Databricks.
Build and maintain a robust Medallion Architecture, managing ingestion and CDC pipelines.
Architect enterprise semantic layers and advanced data models (Star/Snowflake schemas, SCDs).
Engineering & Development
Develop distributed data processing pipelines and reusable frameworks using advanced Python and PySpark.
Execute complex SQL transformations for performance optimisation and analytical views.
Implement end-to-end orchestration using Azure Data Factory or Fabric Pipelines.
Leadership & Governance
Manage and mentor data engineering teams, providing technical guidance, code reviews, and architectural decision-making.
Establish and enforce CI/CD workflows, version control strategies, and deployment automation.
Design data quality, validation, and monitoring frameworks to ensure accuracy of business-critical datasets.
What you’ll bring:
10+ years of professional experience delivering data engineering solutions (batch, streaming, analytics).
5+ years of experience specifically managing and mentoring data engineering teams .
Strong hands-on experience with Microsoft Fabric and/or Azure Databricks (Lakehouse/Delta Lake focus).
Deep understanding of Medallion Architecture implementation.
Technical Skills
Python & PySpark: Advanced proficiency in building production-grade transformations and frameworks.
SQL: Expert-level skills for modelling and performance optimisation.
Orchestration: Experience with Azure Data Factory or Fabric Pipelines.
DevOps: Strong proficiency with Git, CI/CD, and release governance.
Nice to have
Experience with AI-assisted tools (Cursor, GitHub Copilot).
Exposure to Power BI and Fabric Data Warehouse.
Knowledge of cloud cost optimisation strategies.
Critical Soft Skills
Leadership Communication: Capable of supporting both technical delivery and executive stakeholder engagement.
Mentorship: A desire to guide engineers through architectural design and code standards.
Our Culture and Benefits
Bridgit values its team, they are the heart of how we build this business. Along with competitive remuneration, slick offices and the chance to be part of an innovative, agile fintech, we also offer:
Extra Leave – We offer birthday leave + an additional day of paid leave to be used for life events, celebrations, or just a mental health reset.
Two Weeks from Anywhere – We encourage employees to work remotely from a location of their choice for two weeks each year.
Learning and Development – All employees are encouraged and empowered to engage in professional development, including a number of learning initiatives run internally.
Social Events – We have a jam-packed social scene, with events throughout the year to bring the team together!
Ready to Make an Impact?
If you’re excited about reshaping the lending industry and want to be part of a company that values authenticity and innovation, we’d love to chat. Apply now and let’s build the future of finance together! 🚀
- Department
- Tech Team
- Locations
- Sydney
- Remote status
- Hybrid