Lead Data Analytics & AI Engineer at ResMed

Setup: Remote, Hybrid
Location: Dublin
Type: Full-time
Level: Lead

Description

ResMed is seeking a Lead Data Analytics & AI Engineer to join their Global Technology Solutions (GTS) team in Ireland. This hybrid role involves setting architectural strategy, leading analytics engineering, building data pipelines, collaborating cross-functionally, and driving advanced analytics and ML capabilities. The ideal candidate will have extensive experience in data engineering, strong SQL and data modeling skills, proficiency in dbt, Git/GitHub workflows, CI/CD pipelines, and familiarity with cloud platforms.

Required Skills

data engineering
analytics engineering
data architecture
SQL
data modeling
Python
cloud services
modern data stack tools
dbt
Git/GitHub workflows
branching strategies
collaborative development
CI/CD pipelines in GitHub Actions
automated testing
secure deployments
cloud platforms
AWS
GCP
Dagster
Airflow

Additional Information

Required Previous Experiences: extensive hands-on experience as a senior IC in data engineering, analytics engineering, or data architecture (typically 8+ years)
Preferred Qualifications: Bachelor’s degree in a STEM field or equivalent experience or Master’s degree in a computer science or engineer field.
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.
Experience working with Consumer or Marketing Data Systems
Prior experience as a Staff or Senior Staff-level engineer.