Senior Data Engineer

About Dispensed At Dispensed, we are passionate about empowering individuals to reach their full potential by supporting better health outcomes. We believe that access to innovative and alternative therapies can transform lives. Through our telehealth platform, we facilitate patient access to affordable, efficient, and reliable alternative medicine services across Australia, NZ and the UK. About The Role Our data function is growing and we're looking for a Senior Data Engineer to take real ownership of the back-end, the warehouse, pipelines, ETL and reverse ETL, fact tables, and the data dictionary that keeps everything consistent. You won't be handed a pristine setup. There are gaps, there's multi-market complexity, and there's real work to do. You'll be the person who designs the architecture that others build on, and you'll have the scope to shape how data engineering is practised here, the standards, the tooling choices, the modelling patterns. If you want to own something meaningful rather than maintain someone else's decisions, this is worth a look. What You'll Be Doing

• 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.

RequiredWhat You’ll Need

• 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 Have

• Healthcare or regulated industry experience.
• Reverse ETL tooling or data observability experience.
• Experience designing A/B tests or pilots before the fact, not after.

What We Offer

• 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. 💡