Job Description
We're looking for a Snowflake Cortex Engineer for a project working in the financial services sector to help build their AI Enablement on their data platform using Snowflake Cortex.
In this role you'll
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
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
The skills we need:
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
#LI-BM2
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