Senior Data Engineer

Senior Data Engineer Join to apply for the Senior Data Engineer role at Heidi Healthcare needs a better rhythm: one that keeps care continuous and deeply human. Heidi is building an AI Care Partner that works alongside clinicians to make that possible. We’re a team of doctors, engineers, designers, researchers, and creatives building tools that help clinicians stay focused on what matters most: their patients. In just 18 months, Heidi has given back more than 18 million hours to healthcare professionals — supporting 73 million patient visits in 116 countries. Today, more than two million patient visits each week are powered by Heidi worldwide. Backed by nearly $100 million in funding, we’re growing in the US, UK, Canada, and Europe, partnering with leading health systems including the NHS, Beth Israel Lahey Health, and Monash Health. The Role You’ll be our first dedicated data hire, responsible for building and maintaining our data infrastructure from the ground up. You’ll work closely with engineering, product, and business teams to create a scalable data warehouse that enables data-driven decision making across the organisation. What you’ll do Design and implement our data warehouse architecture using modern cloud technologies Build and maintain ETL/ELT pipelines to integrate data from multiple sources Operate in a healthcare compliant environment implementing standards to ensure patient privacy and the security of your systems Establish data modeling practices and implement them in our warehouse Create automated data quality monitoring and testing processes Collaborate with engineering to connect and transform the data held in NoSQL production dbs into understandable insights for non-technical teams Collaborate with teams to understand their data needs and implement solutions Set up and maintain BI tools for business users Document data architecture, lineage, and processes What we will look for 4+ years of experience in data engineering or similar role Strong SQL skills and experience with modern data warehouses (Snowflake, BigQuery, or Redshift) Experience with ETL/ELT tools (dbt, Fivetran, Airbyte, or similar) Programming experience in Python or similar language Experience with cloud platforms (AWS, GCP, or Azure) Track record of building data infrastructure from scratch Experience with version control, code review, and testing practices for data pipelines (e.g.: GitHub) The way we work 1. Build to Last We design for safety and reliability so clinicians, patients, and our teams can trust what we build every day. 2. Own Your Practice Ideas rise on merit, not title, and everyone shares responsibility for the standards we set together. 3. Move Fast, Stay Steady We move quickly but never at the cost of trust. Progress only matters if people can depend on what we make. 4. Make Others Better Honest feedback, steady support, and shared growth keep our teams improving together. Why you will flourish with us Flexible hybrid working environment, with 3 days in the office. A generous personal development budget of $500 per annum Learn from some of the best engineers and creatives, joining a diverse team Become an owner, with shares (equity) in the company, if Heidi wins, we all win The rare chance to create a global impact as you immerse yourself in one of Australia’s leading healthtech startups If you have an impact quickly, the opportunity to fast track your startup career Heidi is dedicated to creating an equitable, inclusive, and supportive work environment that brings people together from diverse backgrounds, experiences, and perspectives. Our strength is in our differences. We're proud to be an equal opportunity employer and welcome all applicants as we're committed to promoting a culture of opportunity for all. Seniority level Mid‑Senior level Employment type Full‑time Industries Hospitals and Health Care and Data Infrastructure and Analytics #J-18808-Ljbffr