Senior Analytics Engineer (Data & Agentic Analytics)
Core
Design, develop, and maintain core data models, data marts, semantic models, and knowledge layers to power AI Agents and enable data-driven decision-making across business functions.
Role type
Senior Analytics Engineer (Data & Agentic Analytics)
Builds
Scalable data foundations, semantic layers, and agentic analytics solutions for Product, Marketing, Logistics, Commercial, and Finance.
Domain
Data Engineering & AI/Agentic Analytics
Deliverable
production ML models
Required skills
Advanced SQL, dimensional modeling, data warehousing, ETL/ELT, data governance, metrics definition, performance optimization, Python, semantic layer design, evaluation framework design
Preferred skills
Data visualization tools (Tableau, Looker), agentic analytics solution design (context layer, tracing), evaluation platforms (Langfuse, Phoenix), project management
Technologies
SQL, Python, Tableau, Looker, Langfuse, Phoenix
Responsibilities
Design and maintain robust data marts and models; establish data quality standards and lineage; define and govern key metrics; develop tools for analyst enablement; curate semantic and knowledge layers for AI agents; optimize data pipelines and queries; collaborate with stakeholders on requirements and delivery.
