Global Technology Solutions (GTS) at ResMed is a division dedicated to creating innovative, scalable, and secure platforms and services for patients, providers, and people across ResMed. The primary goal of GTS is to accelerate well-being and growth by transforming the core, enabling patient, people, and partner outcomes, and building future-ready operations.
The strategy of GTS focuses on aligning goals and promoting collaboration across all organizational areas. This includes fostering shared ownership, developing flexible platforms that can easily scale to meet global demands, and implementing global standards for key processes to ensure efficiency and consistency.
We are looking for our future Data Platform Engineer to join our Platform team in Ireland.
The role is offered as hybrid with approximately 1 day per week onsite in our Sandyford, Dublin office.
Let's talk about Who we are :
Resmed is the global leader in connected devices and digital health with over 10,000 talented people globally. We help millions of people sleep, breathe and live better lives. Are you ready to help fuel our growth? As Resmed continues to evolve with the future of healthcare, our customer-centric organization focuses on cloud-connected devices and digital health technologies that are designed to help treat and manage sleep apnoea, COPD, and other chronic respiratory diseases that, together, affect over one billion people worldwide.
Let's talk About the Team and You :
We are looking for a Data Platform Engineer to help build and support ResMed’s growing data ecosystem. This is an individual contributor role for an engineer who enjoys working hands-on with data pipelines, analytics models, and cloud-based data platforms. You will collaborate closely with senior engineers, analytics teams, and product partners to deliver reliable, scalable data platform capabilities that power insights, reporting, and advanced analytics.
If you’re excited about learning, growing your technical depth, and contributing to data systems that operate at global scale, this role offers the opportunity to make a meaningful impact while developing your career in data platform engineering.
As a Data Platform Engineer, you will contribute to the development and operation of ResMed’s data platform. You will:
Build, maintain, and enhance data platform components and pipelines for ingestion, transformation, and delivery using Python, SQL, and cloud-based tools.
Develop and support analytics and data models in Snowflake using dbt or similar transformation frameworks.
Work within established data platform architectures and engineering patterns while learning best practices for scalable and maintainable systems.
Implement basic testing, monitoring, and alerting to help ensure data quality, reliability, and operational health of the platform.
Collaborate with analytics engineers, data scientists, and product teams to understand data requirements and deliver trusted, well-modeled datasets.
Support platform foundations for analytics, reporting, and early-stage ML/AI use cases.
Participate in code reviews, documentation, and continuous improvement of data platform engineering processes.
Bachelor’s degree in a STEM field or equivalent practical experience.
Hands-on experience as a data engineer, data platform engineer, analytics engineer, or software engineer working with data systems (typically 3–6 years).
Working proficiency in SQL and experience building or maintaining data models in a modern analytics platform (Snowflake preferred).
Experience developing data pipelines using Python and cloud-based services.
Familiarity with dbt or similar data transformation frameworks.
Hands-on experience building and operating data systems on AWS, with working knowledge of cloud-native architectures and experience using services such as S3, IAM, EC2/ECS/EKS, Lambda, Glue, EMR, or similar AWS data and compute services.
Experience using Git/GitHub for version control and collaborative development.
Understanding of core software engineering practices, including code reviews, testing, and debugging.
Experience with workflow orchestration tools such as Dagster, Airflow, or similar.
Exposure to streaming or event-driven data systems (Kafka, Kinesis, or similar).
Familiarity with CI/CD pipelines (GitHub Actions or similar).
Exposure to ML/AI workflows or supporting data for machine learning use cases.
Experience working in regulated environments or on large-scale enterprise data platforms.
Let’s talk about what you can expect:
A supportive environment that focuses on people development and best practices.
Opportunity to design, influence and be innovative.
Work with global teams and share new ideas.
Be supported both inside and outside of the work environment.
The opportunity to build something meaningful and see a direct impact on people’s lives
Additional information:
At Resmed, all employees benefit from a bonus plan, the percentage of which depends on your position within the organisation.
Working from home flexibility occasionally
You also have access to a referral bonus and to Resmed's preferred shareholding programme
Competitive benefits (Pension, Long-Term Illness Protection, Health Insurance...)
Gym membership allowance, Cycle to Work Scheme
Internal career opportunity - joining an international fast-pace and massively growing company.
#LI-EU
Joining us is more than saying “yes” to making the world a healthier place. It’s discovering a career that’s challenging, supportive and inspiring. Where a culture driven by excellence helps you not only meet your goals, but also create new ones. We focus on creating a diverse and inclusive culture, encouraging individual expression in the workplace and thrive on the innovative ideas this generates. If this sounds like the workplace for you, apply now! We commit to respond to every applicant.
