AI Data Engineer / Snowflake Cortex Engineer
Accountabilities: The role focuses on enabling AI capabilities through modern data engineering practices, ensuring that data platforms are prepared for intelligent applications while maintaining quality, governance, and scalability.
Enable AI capabilities on enterprise data platforms using Snowflake Cortex and related AI technologies.
Build and maintain AI-ready datasets and semantic-ready data products that support advanced analytics use cases.
Develop solutions for use cases such as metric intelligence, anomaly detection, and AI-assisted analysis.
Define reusable implementation patterns and best practices for Snowflake Cortex-based solutions.
Collaborate with Analytics Engineering teams to expose trusted metrics and governed datasets for AI applications.
Support the development of future AI and agentic capabilities, including monitoring agents, recommended actions, and personalized insights.
Document implementation approaches, technical assumptions, platform considerations, and solution guidelines.
Ensure AI enablement initiatives follow data quality standards, access controls, governance practices, and responsible AI principles.
Work closely with platform, analytics engineering, and business stakeholders to align technical solutions with organizational goals.
Requirements:
The ideal candidate has strong experience in data engineering, Snowflake environments, and AI-enabled data solutions, with the ability to collaborate across technical and business teams.
Strong hands-on experience with Snowflake data platforms.
Experience or strong knowledge of Snowflake Cortex and Snowflake AI capabilities.
Advanced SQL and solid data engineering skills.
Experience preparing AI-ready datasets and semantic-ready data products.
Understanding of data modeling, metrics frameworks, and business-oriented data layers.
Experience with Python is desirable.
Familiarity with AI-assisted analytics, metric intelligence, or agentic AI use cases is a plus.
Awareness of data governance, access management, and responsible AI practices.
Ability to collaborate effectively with platform teams, analytics engineers, and data stakeholders.
Strong analytical mindset with the ability to translate business needs into scalable data solutions.
Benefits:
Health insurance.
Dental insurance.
Meal allowance.
Food allowance.
Childcare assistance.
Extended paternity leave.
Gym and wellness partnerships through health and fitness platforms.
Profit Sharing and Results Participation (PLR).
Life insurance.
Continuous learning opportunities through internal learning platforms.
Access to online learning platforms and professional development resources.
Discount club partnerships.
Free online platform focused on physical, mental, and overall well-being.
Pregnancy and responsible parenting courses.
Language learning platform.
Inclusive work environment with dedicated support for accessibility and employee well-being.
Opportunities to work with innovative AI and data technologies.
How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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