Dispensed
Senior Data Engineer
Remote Data Engineering role with clear candidate location fit.
PostedJun 14, 2026
Eligible countries1 accepted country
Seniority signalSenior
Work settingRemote
Accepted candidate locations
Australia
Role overview
Senior Data Engineer
Requirements and responsibilities
Readable role content extracted into sections for faster review.
Details
- Designing and implementing data architecture for new capability areas - modelling approaches in dbt, pipeline reliability decisions, the works.
- Owning our ETL and reverse ETL processes, warehouse structure, authoritative fact tables, and data dictionary definitions.
- Finding and fixing data quality and coverage gaps across markets, and building the monitoring infrastructure to catch them earlier next time.
- Leading data initiatives end-to-end across Product, Analytics, and Clinical teams - managing competing priorities without losing momentum.
- Presenting your work and decisions to senior stakeholders, and being comfortable pushing back when the data doesn't support what's being assumed.
- Working with our analysts and engineers and gradually lifting the standard of how the team works.
- 6+ years in Data Engineering with genuine end-to-end ownership, pipelines, warehouse, the lot.
- Solid experience with BigQuery, dbt or equivalent, and AWS.
- Someone who can deliver under ambiguity and doesn't need a perfect brief to get started.
- Good communication, you'll be talking to non-technical stakeholders regularly and need to make it land.
Nice to haves
- Healthcare or regulated industry experience.
- Reverse ETL tooling or data observability experience.
- Experience designing A/B tests or pilots before the fact, not after.
Nice to haves
- Work From Anywhere. 🌍
- A competitive salary and awesome benefits package. 💰
- A supportive and positive work environment. 🌟
- Opportunities to grow and develop your career. 📈
- Opportunity to transform lives through alternative medicine. 💡
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