Senior Data Engineer for AI

IBM Consulting works with leading companies across industries to help shape their hybrid cloud and AI journeys, supported by strategic partners including Red Hat and robust IBM technology.

• 5+ years in data engineering or analytics engineering with a modern data stack focus
• 4+ years of hands-on Snowflake experience, including advanced and platform-specific features
• 3+ years of hands-on dbt cloud experience in production environments
• Solid Python skills for orchestration and transformation use cases
• Strong experience with Azure and Azure Blob Storage integrations
• Exposure to Snowflake Cortex and familiarity with ML lifecycle concepts (training vs inference)
• Excellent communication skills to work smoothly across different vendors and business stakeholders
• Relevant professional certifications in Snowflake and Azure
• Relevant professional education in AI, Data Science, Big Data, ML or similar
• Skills or experience with PowerBI
• Expert level knowledge of dbt

• Leading data engineering initiatives end-to-end, from requirements gathering to production deployment serving AI use cases
• Designing and building ELT pipelines loading data from Azure Blob Storage into Snowflake
• Developing and maintaining dbt transformation models to deliver scalable, reliable analytics datasets
• Writing Python scripts for data orchestration and advanced transformations
• Leveraging Snowflake-specific features and Snowflake Cortex for AI-driven use cases
• Acting as a technical bridge between business users and delivery teams
• Identifying and unblocking delivery bottlenecks before they become problems
• Proposing improvements, new approaches, and solutions