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Data Platform Engineer
PropertyMeData Platform Engineer building scalable cloud data architecture and high-throughput pipelines for PropertyMe, Australia’s leading property management platform. Improving reliability, security, database performance, and AI data solutions.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and optimizing scalable data architectures and ELT/ETL pipelines, ensuring data quality, security, and compliance. Collaborates effectively with engineering and business teams to support AI initiatives and improve database performance.
Highest-signal resume keywords
Data EngineeringCloud-Based Data ArchitecturesSQL Performance OptimizationELT/ETL Pipeline DesignData Governance
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ModellingNoSQL TechnologiesDistributed Data SystemsCloud Data WarehouseData Lake ProductsMonitoring Data Processing PipelinesAI/ML ExposureData Analytics Tools
Soft Skills
Collaboration Skills
Tools & Technologies
MySQL AuroraTiDB
Industry Keywords
Data QualityData SecurityData PrivacyData ArchitectureData Infrastructure
Tech Stack
Tools & technologiesCloudETLMySQLNoSQLSQL
About the role
Key responsibilities & impact- 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
Requirements
What you’ll need- Strong experience building modern data platforms in a collaborative environment
- Solid commercial experience in data engineering
- Strong expertise in cloud-based data architectures and scalable data platform design
- SQL performance and optimisation, including MySQL Aurora / TiDB
- 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 technical and non-technical people
- Experience working with large-scale or multi-petabyte data environments (nice to have)
- Experience supporting AI/ML initiatives with data pipelines and architecture (nice to have)
- Experience improving database performance and scalability in production (nice to have)
Benefits
Comp & 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