Data Engineer

Make an impact bringing your ideas and solving complex problems in a collaborative, supportive team!

Work in a platform team impacting key functionality across our business!

Permanent full time role based in Richmond

We're REA

With bold and ambitious goals, REA Group is changing the way the world experiences property. No matter where you're at on your property journey, we're here to help with every step – whether that's finding or financing your next home. Our people are the key to our success. At the heart of everything we do, is a thriving culture centred around high performance and care. We are purpose driven and collaborative, which drives innovation and our ability to make a real impact. As such, we're proud to have been named in Australia's "Top 5" Best Workplaces two years in a row, as well as being recognised as a Best Workplace for Women.

Where the team fits in

This role sits within PropTrack. PropTrack provides property data and technical platform solutions to customers in the financial and government sectors. The Engineering Team within PropTrack works together to deliver solutions to our internal and external customers. It is the core delivery centre for developing solutions to meet customer priorities and align with PropTrack's technology strategy. As a Data Engineer in the Wolf squad at PropTrack, you will build and run Project Prime, a program focused on creating a property-centric data platform that ingests property data from multiple sources, standardises and models it through transformation layers, and serves it via trusted datasets and APIs for analytics and downstream products. You will deliver and improve these pipelines end to end using DBT, Airflow/Breeze, and BigQuery, with a strong focus on data quality, performance, observability, and operational ownership.

What the role is all about

Designing, building and maintaining data pipelines, models and APIs across ingestion, transformation and consumption layers.
Working with technologies such as DBT, Airflow and BigQuery to deliver accurate, timely and reliable property data.
Enhancing existing products, including resolving data quality issues, improving performance and implementing scalable patterns.
Supporting production systems by contributing to monitoring, observability, automation and operational best practices.
Ensuring the reliability, security and resilience of our systems in line with REA's "you build it, you run it" philosophy.
Collaborating with engineers, analysts and product managers to understand requirements and design high-quality, user-centred solutions.
Participating in code reviews, technical design sessions and agile ceremonies to support continuous improvement across the team.

Who we're looking for

Strong programming skills in at least one modern language (Python, Typescript/NodeJS, Scala) and strong SQL capability.
Good understanding of design patterns, modern software development techniques, and continuous delivery strategies.
Experience building and maintaining data pipelines and data models using tools such as Airflow, BigQuery or DBT.
Experience with Kafka or Flink is a nice to have.
Understanding of data modelling and data quality practices
Experience working with cloud platforms (GCP or AWS) and DevOps concepts such as Docker and CI/CD.
Ability to diagnose and resolve data quality issues, performance problems and production incidents.
Ability to communicate and collaborate effectively with business stakeholders.
A curious, pragmatic mindset with a passion for building reliable, scalable data solutions.

The REA experience

The physical, mental, emotional and financial health of our people is something we'll never stop caring about. This is a place to learn and grow. Some of our Perks & Benefits include:

A hybrid and flexible approach to working
Flexible leave options including, birthday leave and purchase additional leave
Flexible parental leave offering for primary and secondary carers
Our Because We Care program offers employees volunteering leave, community grants, matched payroll giving and our Community Café donates 100% of revenue to charity
Hackdays so you can bring your big ideas to life

Our commitment to Diversity, Equity, and Inclusion

We are committed to providing a working environment that embraces and values diversity, equity and inclusion. We believe teams with diverse ideas and experiences are more creative, more eﬀective and fuel disruptive thinking. If you've got the skills, dedication and enthusiasm to learn but don't necessarily meet every single point on the job description, please still get in touch.

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Data Engineer