Lead Data Engineer
Monash Health · Clayton, VIC, AU, 3168 · Australia · On-site
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Monash Health exists to reimagine care, so that people can live their best lives.
We provide safe and equitable care, for every stage of life, delivered with world-leading expertise and over 175 years of experience.
As a leading academic health service, we're committed to providing tomorrow's care today by integrating research, teaching and training into everyday practice.
Our team of 24,000 people are full hearted, open minded and all in. Together, we provide more than 250 integrated services for every stage of life at over 50 locations and in the community across south-east Melbourne, Victoria, serving 1.2 million residents in the South Metro Local Health Service Network.
To see first-hand what our colleagues think about working here, take a look at the following short videos monashhealth.org/careers.
Lead Data Engineer
Help Shape the Future of Digital Healthcare
This is an exciting opportunity for an experienced data engineering professional to help build a new development platform designed to address real clinical and operational challenges using modern data technologies and artificial intelligence.
Working within a small, innovative and driven team, you will contribute to foundational infrastructure and develop trusted data assets and digital products that support frontline staff and patients. You will work in a greenfield environment where you can influence technical direction, establish strong engineering practices and help shape how data and AI are used across healthcare delivery.
Make a Difference Through Data and AI
About the Role
We are seeking a Lead Data Engineer to join our Innovation, Platforms and Partnerships team and help build a greenfield development platform using modern data technologies and AI.
You will design, build and operate secure, enterprise-grade data pipelines and trusted data assets that support clinical and operational teams. Working within a small, innovative team, you will also provide technical leadership across data architecture, modelling, quality, governance and the responsible use of AI.
You will:
design and operate resilient data pipelines using modern engineering and CI/CD practices
contribute to modern data, API management and AI platforms
establish data architecture, modelling and quality standards
use AI and large language models to extract and evaluate information
implement appropriate privacy, security and data governance controls
lead technical discussions and collaborate with delivery and technical teams.
About you
We are looking for an experienced and collaborative data engineer with:
experience designing modern lakehouse architectures and resilient ETL/ELT pipelines
strong Python, SQL, NoSQL and data warehousing skills
cloud platform experience, preferably Microsoft Azure and Fabric
experience with CI/CD, automated testing and production monitoring
experience extracting information from…