Data Engineer (Ingeniero de Datos)
Core
Build and maintain a multi-region federated lakehouse to enable real-time data consumption for 10 business domains and AI agents.
Role type
Data Engineer (Data Platform & AI Integration)
Builds
A scalable, governed data lakehouse with semantic layers and AI-driven data quality flows.
Domain
SaaS / Data Engineering / AI Operations
Deliverable
production ML models | product features | infrastructure
Required skills
Data modeling at scale, automated testing, data lineage, semantic layer design, data governance, PII classification, data contracts
Preferred skills
AI agent flows (RAG, Feature Stores), Open Source contributions, Cloud certifications
Technologies
Cube.dev, dbt, Lakehouse, AI agents
Responsibilities
Execute developments in the multi-region federated lakehouse ensuring immutability and quality; exploit the semantic layer for autonomous metric consumption; integrate agentic flows with governance for PII classification and cost optimization; monitor and improve freshness, MTTR, and lead time to production.