Data Platform Engineer
Property Me Sydney, New South Wales, Australia
Software Development · 51-200 employees
About the role
Design, develop, and maintain scalable data architecture and infrastructure while optimizing high-throughput ELT/ETL pipelines. Collaborate with engineering and business teams to ensure data quality, security, and the successful delivery of data solutions.
What they look for
Requirements
Requires strong experience in building modern data platforms and expertise in cloud-based data architectures and SQL. Candidates should possess solid commercial experience in data engineering and the ability to work collaboratively with technical and non-technical stakeholders.
Benefits
Full description
Join the National Leader in Cloud-Based Property Management
Our Story
PropertyMe is Australia’s #1 real estate agency platform, with 60%+ market share. More than 35,000 real estate professionals use PropertyMe to manage over 1.9 million properties.
Your work will shape the day-to-day experience of real estate professionals, tenants, and owners across Australia and New Zealand.
What you bring
You bring strong experience in building modern data platforms in a collaborative environment with solid commercial experience in data engineering and strong expertise in:
- Cloud-based data architectures and scalable data platform design
- SQL (MySQL Aurora / TiDB) performance and optimisation
- Data modelling
- Cloud data warehouse/data lake products
- Designing and building high-throughput ELT/ETL pipelines
- Working with NoSQL technologies and distributed data systems
- Monitoring and operating data processing pipelines at scale
- Exposure to AI/ML and data analytics tools
- Understanding of data governance, security, and compliance
- Strong collaboration skills with both technical and non-technical people
How you work
You take ownership beyond implementation—working closely with Product, Engineering, and business stakeholders to design and deliver reliable data platforms and data solutions into production.
You balance performance, scalability, security, and maintainability in designing clean and efficient data systems. You communicate clearly, and continuously improve workflows and data practices.
Nice to have
- Experience working with large-scale or multi-petabyte data environments
- Experience supporting AI/ML initiatives with data pipelines and architecture
- Experience improving database performance and scalability in production
Responsibilities
- Design, develop, and maintain scalable data architecture and infrastructure
- Build and optimise high-throughput ELT/ETL pipelines across multiple data sources
- Work closely with engineering and business teams to deliver data solutions
- Ensure data quality, reliability, security, and privacy across systems
- Troubleshoot and resolve data-related issues in a timely manner
- Create and maintain clear documentation of data systems and processes
- Support AI initiatives through robust and scalable data solutions
- Improve database performance, scalability, and overall platform efficiency
The benefits and perks
- 3 days WFH (Hybrid work, Sydney)
- Small Scrum teams with a lot of autonomy
- No on-call duty - you focus on delivering solutions
- Free onsite snacks, breakfast, and lunch
- Beautiful office in Sydney CBD with great views of Darling Harbour
- Regular milestone parties and events
