At Magentus , our goal is to create a healthier
society through technology. We do that by delivering smart
workflows that connect people, systems, and data - making care more
intelligent, efficient, and accessible. Whether it’s supporting
clinicians, streamlining operations, or improving patient outcomes,
we’re here to make a real difference in healthcare through digital
innovation. About the Role As a Data Engineer , you'll take
ownership of the reliability, quality and governance of our
internal data platform. You'll design, build and improve data
pipelines, introduce observability and automation, and help create
a trusted, self-service data environment that scales with the
business. This is a hands-on engineering role suited to someone who
enjoys solving root-cause problems, improving systems, and
delivering practical outcomes that make a measurable difference.
You'll work closely with product engineers, delivery teams and data
specialists, helping establish the foundations of a growing data
capability within a purpose-driven healthcare technology
organisation. What you'll own: Pipeline reliability. Data lands
where it should, when it should, and you know before anyone else
when it doesn't. Manual intervention becomes the exception, not the
routine. Data quality and consistency. Validation, reconciliation
and testing built into the pipeline rather than bolted on
afterwards, so the numbers hold up under scrutiny. Observability
and documentation. Monitoring, alerting and lineage that make it
possible to diagnose an issue quickly, plus documentation of what
exists, where it came from and how it should be used. Self-service
enablement. Reducing the support load by giving analysts and




product teams the access, tooling and documentation to answer their
own questions. AI-driven uplift. You use agentic tooling, including
Claude, as a normal part of how you build and fix, and you actively
help lift the rest of the data function to work the same wa What
we're looking for: You're a practical, hands-on engineer who enjoys
improving systems and building solutions that last. You combine
solid technical capability with a continuous improvement mindset
and are comfortable working with both technical and non-technical
stakeholders. You’ll bring: 3-5+ years' experience in Data
Engineering or a related software engineering role with significant
data responsibility. Strong SQL and Python skills, with experience
building and supporting production data pipelines. Hands-on
experience working with Databricks in a production environment.
Experience delivering end-to-end data integrations from source
systems through to reporting or analytics platforms. Knowledge of
data quality, testing, validation and reconciliation practices.
Experience using GitHub, CI/CD pipelines and version-controlled
development workflows. Experience using AI-assisted development
tools to improve the way you design, build or troubleshoot
solutions. Strong communication skills and a proactive,
problem-solving approach. Our Tech Stack Data platform:



Databricks,
SQL, Python Cloud and infrastructure: AWS, infrastructure as code
Engineering practice: GitHub, CI/CD pipelines, automated testing,
observability tooling Broader environment: Ruby on Rails,
TypeScript and Node.js, React, PostgreSQL What’s in it for you:
Real impact. The data you make trustworthy shapes decisions about
products used by thousands of clinicians every day. Genuine scope.
This is a capability being stood up, not a seat being backfilled.
You will have real influence over how it is built. A mature
engineering environment. You will work alongside established
product engineering, architecture, security and platform functions,
with the delivery practices and regulatory obligations of a global
health technology group. Building with AI. We actively develop
agentic coding harnesses to accelerate delivery, and this role is
one of the places we expect to drive that forward for data work,
not just adopt what others build. Flexibility that is real.
Brisbane-anchored and hybrid, with genuine flexibility in where and
how you work. Professional growth. We support ongoing learning,
conference attendance and certification relevant to your
discipline. A values led organisation. Our values - We Care, Make a
Difference, Resilience, One Team, Constant Evolution, and Trust -
describe how we work with each other and with our customers.
Brisbane preferred, with hybrid and flexible working arrangements.
Strong candidates elsewhere in Australia will also be considered.
Ready to bring your energy and organisation to a team that cares?
Apply now and help us make a difference at Magentus!

📌 Data Engineer (Queensland)
🏢 Magentus
📍 Queensland