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 RichmondWe're REAWith 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 one of Australia’s Best Workplaces 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 inThis 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 aboutDesigning, 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...