[Job-30263] AI Data Engineer / Snowflake Cortex Engineer
Summary
Build and maintain AI-ready datasets on Snowflake Cortex for a financial services client, enabling AI-driven analytics like anomaly detection and metric intelligence.
At CI&T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions.
With 30 years of experience in technological transformation, we accelerate innovation with expertise in Agentic SDLC, Application modernization, Data & AI, Martech and Business strategy.
We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact. AI is already part of how we work, evolve, and innovate every day.
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
Our benefits:
-Health and dental insurance
-Meal and food allowance
-Childcare assistance
-Extended paternity leave
-Partnership with gyms and health and wellness professionals via Wellhub (Gympass) TotalPass;
-Profit Sharing and Results Participation (PLR);
-Life insurance
-Continuous learning platform (CI&T University);
-Discount club
-Free online platform dedicated to physical, mental, and overall well-being
-Pregnancy and responsible parenting course
-Partnerships with online learning platforms
-Language learning platform
And many more!
More details about our benefits here:
At CI&T, inclusion starts at the first contact. If you are a person with a disability, it is important to present your assessment during the selection process. See which data needs to be included in the report by clicking here.This way, we can ensure the support and accommodations that you deserve. If you do not yet have the assessment, don't worry: we can support you in obtaining it.
We have a dedicated Health and Well-being team, inclusion specialists, and affinity groups who will be with you at every stage. Count on us to make this journey side by side.