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About the Role

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. 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.

Responsibilities

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

Requirements

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

Skills

SQL
dbt
Snowflake
Fivetran
Python
CI/CD
Power BI
Tableau

Location

Sydney CBD

Work Type

Full-Time
On-Site (5 Days)

Experience Level

3-5 years

Benefits

Competitive rewards
Recognition programs
Lifestyle benefits

About the Company

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.

Equal Opportunity

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.