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 Senior Data Analytics & AI Engineer to join our Global Technology Solutions team in Ireland.
The role is offered as hybrid with 1 day per week onsite in our Sandyford, Dublin office.
We believe technical leadership is strengthened through periodic face-to-face collaboration.
Who We Are
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.
At Resmed, we don’t just build technology, we create solutions that transform lives. As a global leader in connected devices and digital health, we empower millions of people worldwide to sleep, breathe, and live better lives.
We are looking for a high-impact, hands-on Senior Data Analytics & AI Engineer to shape the next generation of Resmed’s data ecosystem.
This is a Senior level technical role for someone who can collaborate with peers to solve complex data pipeline, data models, and classical and generative AI challenges.
What You’ll Do
As a Senior Engineer, you will utilize best practices to deliver data products across ResMed’s data ecosystem. You will:
- Design data and AI products and applications consisting of system integrations, data model transformations and user interfaces while aligning with engineering best practices across teams.
- Build and evolve data pipelines using Python, Spark, APIs, connector frameworks, and other ingestion technologies while considering automation, observability, and resilient design patterns.
- Design high-quality Snowflake/dbt models, implement governance and testing standards, and mentoring less experienced engineers in scalable modeling and system design.
- Collaborate cross-functionally with product, engineering, and data science to shape impactful, scalable solutions.
- Drive future advanced analytics and ML capabilities by defining feature pipelines, supporting classical ML models, and enabling new AI-driven workloads including LLM-based and hybrid ML/AI architectures.
What You Bring
- Extensive hands-on experience as a senior IC in data engineering, analytics engineering, or data architecture (typically 6+ years).
- Expert-level SQL and data modeling skills on large-scale platforms (Snowflake preferred).
- Strong experience building production data pipelines and models using Python, cloud services, and modern data stack tools.
- Proficiency with dbt or similar transformation frameworks.
- Demonstrated ability to set technical direction, define architectural patterns, and establish engineering best practices.
- Solid experience with Git/GitHub workflows, including branching strategies and collaborative development.
- Experience building and maintaining CI/CD pipelines in GitHub Actions, including automated testing and secure deployments.
- Ability to operate across both analytics engineering and data engineering responsibilities.
- Experience with cloud platforms such as AWS or GCP.
Nice-to-Have
- Bachelor’s degree in a STEM field or equivalent experience or Master’s degree in a computer science or engineer field.
- Experience with Dagster, Airflow, or similar orchestration tools.
- Familiarity with streaming or event-based processing (Kafka, Fink, Kinesis).
- Familiarity with IaC such as Terraform.
- Experience with classical machine learning, advanced analytics, and generative AI development
- Experience supporting ML/AI workflows or integrating ML into data products.
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 seeing 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
You also have access to a referral bonus and to Resmed's preferred shareholding programme
Competitive benefits (Pension, Long-Term Illness Protection, Health Insurance...)
Internal career opportunity - joining an international fast-pace and massively growing company
Resmed is an Equal Opportunity Employer
With a 30 year history of innovation as a global leader in health technology, we know those good ideas can come from anywhere at ResMed. Innovation and imagination aren't just something we aspire to; they are integral to the way we work. We work hard to provide the opportunity for every employee to do amazing things every day as we shape the future together. Come play!
#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.
