Data Engineer (Business Intelligence Platform)

Join as a Data Engineer II in Central Tech, where you'll play a key role in building and evolving the next-generation BI and AI Analytics Platform. You'll work at the intersection of data platform engineering, semantic modeling, and AI-powered analytics, contributing to the design and implementation of the Semantic Layer foundation and the development of AI-powered analytics capabilities. You'll also collaborate with cross-functional teams, mentor junior engineers, and continuously improve platform capabilities.

• Contribuer à la conception et à la mise en œuvre de la fondation de la couche sémantique, en tirant parti de technologies telles que Snowflake Semantic Views et dbt.
• Participer au développement et à l'exploitation des capacités d'analyse alimentées par l'IA, y compris Snowflake Intelligence, Cortex/Insight Agents, Cortex Search et ThoughtSpot.
• Construire et maintenir des modèles de données évolutifs, réutilisables et gouvernés qui servent de source unique de vérité pour les analyses et les cas d'utilisation BI.

• Hands-on experience with modern data technologies such as Snowflake, dbt, and semantic layer technologies (e.g., Cube or similar)
• Experience with BI and analytics platforms such as ThoughtSpot, Tableau, or similar
• Strong understanding of semantic modeling, metric layers, data governance, and BI consumption patterns
• Proficiency in SQL and at least one programming/scripting language (Python preferred)
• 4–6+ years of experience in data platform engineering, analytics engineering, or BI platform roles
• Experience working with cloud environments (AWS preferred) and modern data infrastructure
• Ability to work cross-functionally, communicate effectively, and navigate ambiguity with a strong sense of ownership
• Experience with AI-powered or conversational analytics, LLM/agent concepts, or agentic systems is a strong plus
• Familiarity with platform integrations through APIs or standards such as MCP is a plus
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (or equivalent experience)
• Strong troubleshooting and problem-solving skills, with the ability to design reliable, scalable, and production-ready platform solutions