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Sydney CBD | Full-Time | On-Site (5 Days) WHO WE ARE Founded in 2013 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 ROLE Ready 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 up Migrating legacy data infrastructure into Snowflake across multiple business domains Building and maintaining dbt models across bronze, silver, gold and platinum layers, writing clean, tested and well-documented SQL Building and maintaining data ingestion into Snowflake via Fivetran and Snowpark-based pipelines Turning raw source data into trusted, analytics-ready data products the business can rely on Working directly with Finance, CRM and operational teams to gather and refine data requirements Translating business problems and ambiguous requirements into clear, scalable data solutions Monitoring and maintaining data pipeline health, troubleshooting issues and ensuring reliability Contributing to emerging AI data initiatives as the platform matures Staying close to evolving best practice in the modern data stack (Snowflake, dbt, Fivetran) and bringing new ideas back to the team WHAT YOU'LL BRING 3–5 years in an Analytics Engineering or similar data engineering role Background in consulting, professional services, startup or scaleup environments, comfortable moving fast across multiple business domains Strong SQL and dbt experience, having built and maintained production data models Hands-on experience with Snowflake Experience with Fivetran or similar ingestion tooling Python proficiency, comfortable building scripts and pipelines including Snowpark-based workloads Comfortable with CI/CD fundamentals, including version control, pull request workflows and automated deployment Familiarity with data pipeline monitoring and troubleshooting Self-directed, able to take a brief and drive it to completion without handholding Experience 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 regarded WHY SHOULD YOU JOIN? Be part of a purpose-led organisation shaping how Australians live Exposure to a large, diversified living platform with real scale and complexity Strong focus on wellbeing, growth, and inclusive culture Competitive rewards, recognition programs, and lifestyle benefits INTERESTED? HERE'S HOW TO APPLY If this sounds like your next career move, we'd love to hear from you - apply now with your CV. Please note that we will be reviewing applications and contacting candidates on a rolling basis, so we encourage you to apply as early as possible. No agencies please. At 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.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.
