Senior Analytics Engineer

Montu is Australia\'s largest healthtech business with a focus on alternative healthcare. Founded in 2019, it supports patients, doctors and pharmacies through its Alternaleaf clinic, offers accredited healthcare education to clinicians via its SAGED platform, and dispensing solutions to pharmacies across Australia through Leafio. Montu is also the founding member of Cannabis Council Australia, a non-for-profit advocacy body that advances legislative change across the healthcare landscape. Our mission is to make alternative healthcare more affordable and accessible for the millions who could benefit.
This role is an Australia-based, fully work-from-home position, with access to co-working spaces in Sydney, Melbourne and Brisbane.
Job Description
We're driving innovation in the health sector by building a trusted ecosystem of data that empowers patients, practitioners, and decision-makers. Data is at the heart of our mission — enabling better decisions, better care, and better outcomes.
We're looking for multiple
Senior Analytics Engineers
who thrive on building scalable, high-quality data infrastructure. This is a hands-on role with a strong focus on
dbt development
, data modelling, and pipeline optimisation — all in service of delivering reliable and actionable outcomes to our stakeholders.
What you'll do
Own & optimize dbt models
– design, develop, and maintain clean, scalable, and documented transformations.
Build high-performance data pipelines
using modern ELT tools to handle complex healthcare datasets.
Design scalable data infrastructure
in collaboration with Analytics Engineering and Data teams.
Work cross-functionally
with Product, BI, and other teams to ensure analytics solutions meet business needs.
Enforce data quality & governance
through testing, documentation, and best practices.
Optimise our BI platform
(Looker, Tableau) for performance, scalability, and user adoption.
Troubleshoot & improve
— proactively identify data issues, optimise queries, and refine workflows.
Qualifications
Extensive experience with
dbt
in a production environment.
Strong
SQL
skills and hands-on experience with data warehouses (e.g., Redshift, BigQuery, Snowflake).
Experience with
ETL/ELT orchestration tools
(e.g., Airflow, Dagster).
Solid understanding of
data modelling
(relational, dimensional) and performance optimisation.
Proficiency in
Python
for analytics engineering tasks.
Familiarity with
cloud-based architectures
and scalable data solutions.
Bonus: Experience in regulated industries such as healthcare.
Additional Information
You'll be joining a high-performing, fast-paced team where your work drives meaningful impact in a leading tech company at the intersection of healthcare. We take pride in our driven and results-focused culture, where ambitious individuals can push the boundaries of innovation and contribute to better outcomes for Australians.
Benefits
Gaining access to SAGED courses and more through the Greenhouse learning platform, fostering continuous growth and development.
Discounts with over 450 retailers through our Reward and Recognition platform.
The freedom of a full-time, work-from-home role.
Access to co-working spaces in Sydney, Melbourne, Brisbane, and select regional cities.
Mental health support through our wellbeing platform, Unmind.
A private health insurance discount through Medibank.
Up to 8 weeks of paid parental leave.
Swag kits to celebrate key milestones in your journey with us.
Home office equipment allowance to enhance your work-from-home setup.
Being part of one of the fastest-growing industries in Australia, improving the lives of hundreds of thousands of patients.
We are committed to facilitating a barrier-free recruitment process and work environment. If you require any accommodations, we welcome you to let us know so we can work with you to participate fully in our recruitment experience.
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