275 George St, Sydney NSW ****, AustraliaPosted Thursday 20 August **** at 2:00 pmSydney CBD | Full-Time | On-Site (5 Days)WHO WE AREFounded in **** as Scape Australia, leaders in student housing, we've since grown into a vertically integrated living platform known as The Living Company; managing $17B in assets across Student Living (Scape), Rent to Live – Affordable Housing (RTL Co.), and Retirement Living (Aveo); spanning site origination, investment, planning, design, development, construction, and operations.The Living Company is reshaping the way Australians live by delivering sustainable, community-driven, and high-quality spaces across the country.THE ROLEReady to build the data foundation that powers decisions for 10,000+ retirement living residents across Australia?
As our new Analytics Engineer, you'll be at the centre of a greenfield Snowflake deployment, designing and building the pipelines, models and data products the whole business will run on.This isn't a maintenance role.
You'll shape how data flows from source systems through to Finance, Sales, Marketing and Operations reporting, working directly with stakeholders to understand what they need and translating that into clean, reliable, well-documented dbt models.Day-to-day you will be (but not limited to):Contributing to the Snowflake data platform deployment, building out infrastructure from the ground upMigrating legacy data infrastructure into Snowflake across multiple business domainsBuilding and maintaining dbt models across bronze, silver, gold and platinum layers, writing clean, tested and well-documented SQLBuilding and maintaining data ingestion into Snowflake via Fivetran and Snowpark-based pipelinesTurning raw source data into trusted, analytics-ready data products the business can rely onWorking directly with Finance, CRM and operational teams to gather and refine data requirementsTranslating business problems and ambiguous requirements into clear,



scalable data solutionsMonitoring and maintaining data pipeline health, troubleshooting issues and ensuring reliabilityContributing to emerging AI data initiatives as the platform maturesStaying close to evolving best practice in the modern data stack (Snowflake, dbt, Fivetran) and bringing new ideas back to the teamWHAT YOU'LL BRING3–5 years in an Analytics Engineering or similar data engineering roleBackground in consulting, professional services, startup or scaleup environments, comfortable moving rapid across multiple business domainsStrong SQL and dbt experience, having built and maintained production data modelsHands‐on experience with SnowflakeExperience with Fivetran or similar ingestion toolingPython proficiency, comfortable building scripts and pipelines including Snowpark-based workloadsComfortable with CI/CD fundamentals, including version control, pull request workflows and automated deploymentFamiliarity with data pipeline monitoring and troubleshootingSelf‐directed, able to take a brief and drive it to completion without handholdingExperience with data visualisation tools (Power BI, Tableau or similar), exposure to AI/ML data initiatives, or experience in property, retirement living or similar complex operational environments will be highly regardedWHY SHOULD YOU JOIN?
Be part of a purpose‐led organisation shaping how Australians liveExposure to a large, diversified living platform with real scale and complexityStrong focus on well‐being, growth, and inclusive cultureCompetitive rewards, recognition programs, and lifestyle benefitsAt The Living Company, we honour and welcome the rich heritage and contributions of First Nations and Indigenous peoples.
Our workplace embraces diversity and strives to create an inclusive environment that respects and values your culture, traditions, and perspectives.
Join us in building a harmonious and empowered community where everyone's voice is heard and celebrated.275
George St, Sydney NSW ****, Australia
#J-*****-Ljbffr

📌 Analytics Engineer (New South Wales)
🏢 Scape Australia
📍 New South Wales