Senior Data Engineer

• Collaborate with a talented, passionate team on high-impact property data products!

• Mentor others and help lift data engineering practice in a supportive environment!

• Permanent role based in Richmond

We're REA

With bold and ambitious goals, REA Group (https://www.rea-group.com/about-us/about-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 one of Australia’s Best Workplaces (https://www.rea-group.com/about-us/#our-awards) four times since 2021 — including third place in 2025 — plus Best Workplace for Women in 2023 and Best Workplace in Technology in 2024 and 2025. These listings are testament to every person who helps make REA a great place to work.

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.

Within PropTrack, this Senior Data Engineer role is part of the Core Property Data (CPD) team. CPD is responsible for building and operating property‑centric data platforms and APIs that power a wide range of internal products and external data solutions across REA and PropTrack, with a particular focus on Prime, our next‑generation property data platform.

What the role is all about

• Designing, building and maintaining data pipelines, models and APIs across ingestion, transformation and consumption layers.

• Contribute to and lead technical design and architecture discussions, helping shape how our data, property datasets and APIs evolve to support current and future use cases.

• Working with technologies such as Airflow/Breeze, BigQuery, Kafka and modern backend languages (e.g. TypeScript/Node, Python) 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.

• Provide technical guidance and mentoring to other engineers in your squad, lifting engineering practices and supporting less experienced team members.

Who we’re looking for

• Strong API experience required in owning, building and integrating APIs

• 5+ years of hands on experience in the industry, working in some or all of data engineering, full stack software engineering and platform engineering, with a focus on data intensive systems at scale.

• Strong programming skills in at least one modern language (e.g. TypeScript/Node.js, Python), plus strong SQL capability for analytical and production workloads.

• Proven experience building and maintaining data pipelines and data models using tools such as Airflow/Breeze and BigQuery, or equivalent orchestration and warehouse technologies.

• Solid understanding of data modelling, data quality and data governance practices, and how to apply them in large scale property or transactional data environments.

• Experience working with cloud platforms (GCP and/or AWS) and DevOps concepts such as Docker, CI/CD and infrastructure as code (e.g.Terraform, CDK, CloudFormation).

• Demonstrated ability to diagnose and resolve data quality issues, performance problems and production incidents in distributed data systems.

• Ability to communicate and collaborate effectively with engineers, analysts, product managers and other stakeholders as required.

• A curious, pragmatic mindset with a passion for building reliable, scalable data solutions that deliver real value for customers and internal teams.

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 (https://www.rea-group.com/about-us/news-and-insights/blog/how-we-help-our-people/)

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.

Join our Talent Neighbourhood

Keen to be part of REA but didn't find a perfect match with this opportunity? Perhaps the timing isn't right? You should join our Talent Neighbourhood! (https://rea.to/careers-talentneighbourhood)

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Req ID R0015490