AI Data Engineer – Snowflake Cortex
Responsibilities
- Enable AI capabilities on the Data 4.0 platform using Snowflake Cortex
- Build AI-ready datasets and semantic-ready data products
- Support use cases such as metric intelligence, anomaly detection and AI-assisted analysis
- Help define reusable implementation patterns for Snowflake Cortex use cases
- Work with Analytics Engineering to expose trusted metrics and governed datasets for AI use cases
- Support future AI/agentic capabilities such as monitoring agents, recommended actions and personalised insights
- Document implementation patterns, assumptions and platform considerations
- Ensure AI enablement aligns with data quality, access and governance standards
Requirements
- Strong hands-on experience with Snowflake
- Experience or good working knowledge of Snowflake Cortex / Snowflake AI capabilities
- Strong SQL and data engineering skills
- Experience preparing AI-ready datasets and semantic-ready data products
- Understanding of data modelling, metrics and business-friendly data layers
- Python experience is desirable
- Understanding of AI-assisted analytics, metric intelligence or agentic use cases is desirable
- Awareness of data governance, access control and responsible AI considerations
- Ability to work with platform, analytics engineering and analytics stakeholders
ATS Optimization Keywords
Hard Skills
- Snowflake
- Snowflake Cortex
- SQL
- data engineering
- data modelling
- Python
- AI-ready datasets
- semantic-ready data products
- metric intelligence
- anomaly detection
Soft Skills
- collaboration
- documentation
- communication
- problem-solving
- stakeholder engagement