Data Cloud Engineer

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    "description": "<p><span style=\"font-size: 12pt; font-weight: bold\">Join the National Leader in Cloud-Based Property Management</span><br></p>\n<p><span style=\"font-weight: bold\"><img width=\"20\" height=\"20\" src=\"https://a.slack-edge.com/production-standard-emoji-assets/14.0/apple-medium/[email protected]\" alt=\":house_with_garden:\"><span style=\"font-size: 12pt\"> </span>Our Story</span><br></p>\n<p><br><br></p>\n<p>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.</p>\n<p>Your work will shape the day-to-day experience of real estate professionals, tenants, and owners across Australia and New Zealand.</p>\n<p><br></p>\n<p><span style=\"font-weight: bold\">What you bring</span></p>\n<p><br></p>\n<p>You bring strong experience in building modern data platforms in a collaborative environment with solid commercial experience in data engineering and strong expertise in:</p>\n<p><br></p>\n<ul>\n<li>Cloud-based data architectures and scalable data platform design </li>\n<li>SQL (MySQL Aurora / TiDB) and data modelling</li>\n<li>Designing and building high-throughput ELT/ETL pipelines</li>\n<li>Working with NoSQL technologies and distributed data systems</li>\n<li>Monitoring and operating data processing pipelines at scale</li>\n<li>Exposure to AI/ML and data analytics tools</li>\n<li>Understanding of data governance, security, and compliance</li>\n</ul>\n<p><br></p>\n<p><span style=\"font-weight: bold\">How you work</span></p>\n<p><br></p>\n<p>You take ownership beyond implementation—working closely with Product, Engineering, and business stakeholders to design and deliver reliable data solutions into production.</p>\n<p><br></p>\n<p>You balance performance, scalability, and maintainability, design clean and efficient data systems, communicate clearly, and continuously improve workflows and data practices.<br></p>\n<p><br></p>\n<p><span style=\"font-weight: bold\">Nice to have</span></p>\n<p><br></p>\n<ul>\n<li>Experience working with large-scale or multi-petabyte data environments</li>\n<li>Experience supporting AI/ML initiatives with data pipelines and architecture</li>\n<li>Familiarity with cloud-native data tooling and modern platforms</li>\n<li>Experience improving database performance and scalability in production</li>\n</ul>\n<p><br></p>\n<p><span style=\"font-weight: bold\"><img width=\"20\" height=\"20\" src=\"https://a.slack-edge.com/production-standard-emoji-assets/14.0/apple-medium/[email protected]\" alt=\":office:\"><span style=\"font-size: 12pt; font-weight: bold\"> </span>Responsibilities</span><br></p>\n<p><br><br></p>\n<ul>\n<li>Design, develop, and maintain scalable data architecture and infrastructure</li>\n<li>Build and optimise high-throughput ELT/ETL pipelines across multiple data sources</li>\n<li>Work closely with engineering and business teams to deliver data solutions</li>\n<li>Ensure data quality, reliability, security, and privacy across systems</li>\n<li>Troubleshoot and resolve data-related issues in a timely manner</li>\n<li>Create and maintain clear documentation of data systems and processes</li>\n<li>Support AI initiatives through robust and scalable data solutions<br></li>\n<li>Improve database performance, scalability, and overall platform efficiency<br></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-weight: bold\"><img width=\"20\" height=\"20\" src=\"https://a.slack-edge.com/production-standard-emoji-assets/14.0/apple-medium/[email protected]\" alt=\":potted_plant:\"><span style=\"font-size: 12pt; font-weight: bold\"><span> </span></span>The benefits and perks</span></p>\n<p><br><br></p>\n<ul>\n<li>3 days WFH (Hybrid work)</li>\n<li>Your whole team will be with you in one location (Sydney)</li>\n<li>Small Scrum teams with a lot of autonomy</li>\n<li>No on-call duty - you focus on delivering solutions</li>\n<li>Free onsite snacks, breakfast, and lunch</li>\n<li>Beautiful office in Sydney CBD with great views of Darling Harbour</li>\n<li>Regular milestone parties and events</li>\n</ul>",
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