About the role
At Heidi AI, the data team is central to advancing healthcare through AI-driven solutions. The Senior Analytics Engineer will collaborate with analysts, data engineers, and AI specialists to develop scalable data models, pipelines, and product event tracking, ensuring data accuracy and trustworthiness. The role involves working on cloud platforms like AWS and Azure, emphasizing data quality, governance, and supporting customer-facing data products in a sensitive health data environment.
The ideal candidate has 3-5 years of experience in analytics or data engineering, with strong SQL skills and familiarity with Python, PySpark, and modern data tools such as dbt, Databricks, and Airflow. They should be adept at translating complex data into actionable insights, supporting AI workloads, and maintaining data integrity, especially concerning PHI and PII. Clear communication and a proactive mindset are essential.
This full-time, on-site position is based in Sydney or Melbourne. The company values building impactful healthcare solutions, emphasizing innovation, ownership, and continuous improvement. The environment encourages leading initiatives, rapid iteration, and working in a high-growth setting focused on real-world impact.