Job Description Farlow is working with a growing Australian business of approximately 500 employees that is investing heavily in improving how data is used across the organisation.
The business has spent the last couple of years building out its cloud data platform and is now looking for a Senior Analytics Engineer to help bridge the gap between the core data engineering team and the analysts and business teams consuming the data.
You will join a data function of approximately 15 people , working across Data Engineering, Analytics and BI.
The workplace is built around Snowflake, dbt and SQL , with a strong focus on creating trusted, well-modelled datasets that can be used across the organisation.
This is not a traditional BI Developer position.
You will spend most of your time working in the transformation layer, taking raw data and turning it into clean, tested and reusable data models.
What you'll be doing Building and maintaining transformation pipelines using dbt Developing scalable dimensional and analytical data models Working extensively with SQL and Snowflake Improving testing,



documentation and data quality Creating trusted datasets for analytics and reporting teams Working with Data Engineers on upstream data requirements Partnering with analysts and business stakeholders to understand how data is being used Helping establish better analytics engineering standards across the team Requirements Requirements We're looking for someone with: Strong commercial SQL experience Hands-on experience with dbt Experience working with Snowflake or a comparable cloud data warehouse Strong understanding of dimensional and data modelling Experience building production-quality transformation pipelines Good understanding of software engineering practices such as Git, testing and CI/CD Ability to translate business requirements into well-designed data models Strong stakeholder management and communication skills Full Australian working rights Experience with Python, Airflow, AWS, Looker or Power BI would be useful, but is not essential.
Benefits Benefits $150,000 to $170,000 + super Hybrid working with approximately 2 days per week in the Sydney office Modern Snowflake and dbt environment Established data team rather than being the first data hire Opportunity to influence analytics engineering standards High visibility across the organisation as its data capability continues to mature Interested?
If you're currently working as an Analytics Engineer, or you're a technically strong Data Analyst or Data Engineer working heavily with SQL, dbt and data modelling, we'd be interested in speaking with you.
Apply through Farlow for a confidential discussion.

📌 Senior Analytics Engineer – Dbt & Snowflake (New South Wales)
🏢 Farlow
📍 New South Wales