Senior Data Engineer

Bridgit; Sydney; On-site; AUD 140,000 - 190,000; Full time

Benefits offered by this job

Birthday leave and Kudos leave

Two weeks remote per year

Learning & development budget

Generous parental leave

Gym membership discount

Catered team lunches and events

Dog-friendly Sydney HQ

Job summary

Bridgit in Sydney seeks a Senior Data Engineer to design, build and maintain scalable data pipelines using Python, SQL, AWS and Databricks. You’ll shape the data architecture, implement Medallion patterns and ensure data quality across the enterprise.

You’ll work closely with data scientists, analysts and stakeholders, drive best practices, CI/CD in Git, and help deliver reliable analytics and reporting solutions in a fast-growing fintech environment.

Qualifications

• 5+ years of experience in data engineering with batch and streaming workloads.
• Proficient in Python with NumPy and Pandas.
• Strong SQL skills for production-grade transformations and analytics.
• AWS + Databricks experience, Delta Lake/Lakehouse environments.
• Knowledge of Medallion architecture and data modeling.

Responsibilities

• Design, develop, and optimize data pipelines for batch and streaming workloads.
• Implement data models, transformations, and ingestion frameworks (Bronze–Silver–Gold).
• Manage and maintain ETL/ELT processes (Azure Data Factory, Fabric Pipelines or equivalent).
• Develop high-performance SQL queries and analytical models for reporting.
• Ensure data quality, reliability, and lineage through testing and monitoring.
• Collaborate with data scientists, analysts, and stakeholders to translate requirements into scalable solutions.
• Manage version control, branching, and CI/CD processes using Git.
• Drive engineering best practices, including modular code design and automation.

Skills

5+ years data engineering

Python (NumPy and Pandas)

SQL proficiency

AWS + Databricks

Medallion architecture

ETL/ELT orchestration

Git & CI/CD

Communication & collaboration

Tools

Azure Data Factory

Fabric Pipelines

Delta Lake

Job description

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 old and making huge strides. We've 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 including Best Growth Story at the 2025 Fintech Awards, the 2025 Finder People's Choice Award for Lending Innovation, Deloitte's Tech Fast 50 2025, and a place among LinkedIn's Top 20 Startups in Australia 2025 & 2026.

The difference you’ll make

We’re looking for a Senior 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–Silver–Gold).
• Manage and maintain ETL/ELT processes using Azure Data Factory, Fabric Pipelines, or equivalent tools.
• Develop and maintain high-performance SQL queries and analytical models for reporting and analytics.
• Ensure data quality, reliability, and lineage through testing, monitoring, and documentation.
• Collaborate with data scientists, analysts, and business stakeholders to translate requirements into scalable technical solutions.
• Manage version control, branching, and CI/CD processes using Git.
• Drive adoption of engineering best practices, including modular code design, testing, and automation.

What We Are Looking For

Must-Have Skills

• 5+ years of experience in data engineering projects spanning batch and streaming data workloads.
• Strong Python proficiency, including a strong command of NumPy, Pandas, and related data-processing libraries.
• Strong SQL skills — capable of building efficient, production-grade transformations and analytical models.
• Proven experience with AWS + Databricks, particularly in Delta Lake or Lakehouse environments.
• Strong understanding of data modeling (Star/Snowflake), Medallion architecture (Bronze–Silver–Gold), and incremental/CDC design patterns.
• Hands‑on experience with ETL/ELT orchestration (Azure Data Factory, Fabric Pipelines, or equivalent).
• Proficient with Git for version control, branching strategies, and CI/CD integration — this is essential.
• Excellent communication, documentation, and stakeholder collaboration skills.

Good-to-Have Skills

• Familiarity with AI-assisted development tools such as Cursor, GitHub Claude, or similar productivity-enhancing environments.
• Exposure to Power BI, Fabric Data Warehouse, and Semantic Models (DAX).
• Knowledge of data governance, lineage, and data quality frameworks.
• Experience with data platforms built in AWS.Understanding of DevOps principles and cloud cost optimization for data workloads.
• Experience integrating machine learning models or LLM-based workflows into data pipelines.

Why join us?

• Extra days off: birthday leave, Kudos leave + an additional day of paid leave to be used for life events, celebrations or just a mental health reset.
• Two weeks from anywhere: swap your desk for a change of scenery and work remotely for two weeks every year.
• Training & development budget: a dedicated budget for courses, conferences and learning, plus internal learning programmes.
• Generous parental leave: time to focus on what matters most when your family grows.
• Discounted gym membership: we’ll help cover the cost.
• Catered team lunches and a social calendar packed with events all year round.
• Dog-friendly Sydney HQ office with a rooftop for lunch breaks and team catch-ups.

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. A heads-up that because we operate in the financial services space, any offer made will be subject to successful pre-employment screening, including reference checks and a standard police check.