Senior Data Engineer
Melbourne HQ or Sydney
Heidi Health
Explore Heidi Health's AI medical scribe software tailored for European healthcare providers. Enhance documentation efficiency and patient-focused care with innovative AI.Who are Heidi?
Heidi is on a mission to halve the time it takes to deliver world class care.
We believe that in 2050 every clinician will practice with AI systems that free them from administrative burden and increase the quality and accessibility of care to patients across the world.
Today, we have a suite of tools that modernize documentation. Tomorrow, we’ll equip every healthcare org with AI assistants that undo the tediums of clinical & non clinical work
Our team is a potent mosaic of sage, accomplished leaders & brilliant polymaths hungry to prove it. We achieve in 6 months what it takes our competitors 4 years to do.
We’ve raised our $10M Series A led by Australia's largest VC firm, Blackbird Ventures and in the midst of our next raise, with an ambitious global go-to-market strategy starting with the US & UK.
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)
What do we believe in?
We create unconventional solutions to difficult problems and we build them fast. We want you to set impossible goals and make them happen, think landing a rocket but the medical version.
You'll be surrounded by a world-class team of engineers, medicos and designers to do your best work, inspired by our shared beliefs:
We will stop at nothing to improve patient care across the world.
We design user experiences for joy and ship them fast.
We make decisions in a flat hierarchy that prioritizes the truth over rank.
We provide the resources for people to succeed and give them the freedom to do it.
Why you will flourish with us 🚀?
Flexible hybrid working environment, with 3 days in the office.
Additional paid day off for your birthday and wellness days
Special corporate rates at Anytime Fitness in Melbourne, Sydney tbc.
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!
Help us reimagine primary care and change the face of healthcare in Australia and then around the world.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture AWS Azure BigQuery Data pipelines Data quality Data warehouse dbt ELT Engineering ETL FiveTran GCP GitHub NoSQL Pipelines Privacy Python Redshift Security Snowflake SQL Testing
Perks/benefits: Career development Flat hierarchy Flex hours Flex vacation Startup environment
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