Senior Data Engineer at Heidi Health
Melbourne, Victoria, Australia -
Full Time


Start Date

Immediate

Expiry Date

10 May, 25

Salary

0.0

Posted On

10 Feb, 25

Experience

4 year(s) or above

Remote Job

No

Telecommute

No

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

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.

Responsibilities

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
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