OverviewMy client is an established MedTech scale-up with a strong customer base and secured funding.
They are investing in recent product development and expanding their data capabilities.
This is a remote-first position, with candidates based in Sydney or New South Wales who can attend occasional office visits for collaboration and planning sessions.The RoleSenior Data & Software Engineer who is passionate about clean, scalable data engineering—someone who enjoys solving complex problems, building robust data pipelines, and working closely with a small but high-performing engineering team.
You'll work on modernising and expanding a cloud-based data warehouse that underpins a growing insights platform used across the healthcare sector.
This role will focus heavily on Python development, Snowflake pipelines, and data transformation, with the prospect to take ownership as the team expands.What You'll Be DoingDesigning and building data transformation pipelines in Snowflake using Python and dbtWorking closely with the Data Engineering Lead to define data architecture and best practicesDeveloping and maintaining data visualisation dashboards (Metabase, Tableau, or Power BI) for internal and customer-facing insightsSupporting the broader engineering team with backend data integrations and internal analyticsOwning data reliability, performance, and scalability as the platform evolvesWhat We're Looking For5+ years' experience as a Data Engineer or Software Engineer with robust Python coding skillsProven experience building or managing data pipelines and warehouses (ideally in Snowflake)Exposure to cloud-based environments (AWS, GCP, or Azure)Familiarity with data visualisation tools such as Metabase, Tableau, or Power BIWhy JoinWork for a fast-growing, mission-led MedTech scale-up with a meaningful purposeRemote-first role with occasional Sydney-based site visitsChance to own a growing data warehouse function and influence architectural decisionsCollaborative team culture with strong leadership and plenty of autonomy
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