Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
JobTailor Logo

See all jobs on JobTailor

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
PropertyMe

Data Platform Engineer

PropertyMe

Data 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.

Posted 8/10/2026full-timeSydney • 🇦🇺 AustraliaMid-LevelSeniorWebsite

Core Competencies

Role fit
Core 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 resume
Applicant 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 & technologies
CloudETLMySQLNoSQLSQL

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