Company Description
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.
Montu has been recognised as Australia’s fastest-growing tech company in the Deloitte TechFast 50 for two consecutive years (#1 in 2022 and 2023), achieving remarkable revenue growth of 26,000% and 9,000%. Named #1 on LinkedIn’s Top Startups Australia 2024, Montu has cemented its position as the largest business of its kind outside North America and continues to evolve on its journey.

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

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 thrives 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 & optimise 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.