data
Posted Apr 17Lead Data Analytics & AI Engineer
at ResMed
Dublin, IrelandOn-site
Responsibilities
- Lead analytics engineering by designing high-quality Snowflake/ dbt models, establishing governance and testing standards, and mentoring engineers in scalable modeling and system design.
- Build and evolve data pipelines using Python, Spark, APIs, connector frameworks, and other ingestion technologies, introducing automation, observability, and resilient design patterns.
- 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
- We are looking for our future Lead Data Analytics & AI Engineer to join our Global Technology Solutions team in Ireland.
- We are looking for someone who can collaborate with peers to solve complex data pipeline , data models, and classical and generative AI challenges.
- If you’re the kind of engineer who thrives at the intersection of architecture, hands-on development, and future-facing analytics— this is a rare opportunity to make a global impact at scale.
- experience as a senior IC in data engineering, analytics engineering, or data architecture (typically 8 + 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.