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Senior Data Analytics & AI Engineer

resmed.com Logo

ResMed

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Location:
Ireland , Dublin

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

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. 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.

Job Responsibility:

  • 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

Requirements:

  • 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 we offer:
  • Bonus plan
  • Working from home flexibility
  • Referral bonus
  • Preferred shareholding programme
  • Competitive benefits (Pension, Long-Term Illness Protection, Health Insurance...)
  • Internal career opportunity

Additional Information:

Job Posted:
February 18, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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