Analytics Engineer

The Living Company; Sydney; Hybrid; AUD 130,000 - 190,000; Full time

Job summary

The Living Company seeks an Analytics Engineer to design and build data pipelines powering insights for 10,000+ retirement living residents across Australia. You will lead a greenfield Snowflake deployment, craft dbt models, and partner with Finance, Sales and Operations to deliver reliable data products.

You will migrate legacy systems, implement Snowpark-based pipelines, and maintain data quality while adopting modern data stack practices and AI initiatives.

Qualifications

• 3–5 years in Analytics Engineering or similar data engineering role.
• Background in consulting, professional services, startup or scaleup environments.
• 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.
• CI/CD fundamentals, including version control 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 visualization tools (Power BI, Tableau) or AI/ML data initiatives, or in property/retirement living environments will be highly regarded

Responsibilities

• Contribute to the Snowflake data platform deployment and build out infrastructure.
• Migrate legacy data infrastructure into Snowflake across multiple business domains.
• Build and maintain dbt models across bronze, silver, gold and platinum layers.
• Ingest data into Snowflake via Fivetran and Snowpark-based pipelines.
• Turn raw source data into analytics-ready datasets for the business.
• Collaborate with Finance, CRM and operations to refine data requirements.
• Translate business problems into scalable data solutions.
• Monitor and maintain data pipeline health and troubleshoot issues.
• Support emerging AI data initiatives as the platform matures.
• Stay current with Snowflake, dbt, Fivetran best practices and bring ideas to the team

Skills

SQL

dbt

Snowflake

Fivetran

Python

CI/CD

Power BI

Tableau

Stakeholder collaboration

Tools

Snowpark

Job description

275 George St, Sydney NSW 2000, Australia

Posted Thursday 20 August 2026 at 2:00 pm

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 maturing
• 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

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.

275 George St, Sydney NSW 2000, Australia