Data Engineer: Architect AI-Ready Data Lakes & Pipelines
Summary
Design and implement a unified data warehouse/data lake supporting analytics and AI workloads: build ETL/ELT pipelines, ensure data quality and governance, and collaborate with data scientists and BI analysts in an agile setting. Core stack centers on SQL, Databricks, and enterprise-scale data modeling.
GEA is seeking a Data Engineer to design and implement a unified data warehouse/data lake architecture supporting analytics and AI workloads. You will build ETL/ELT pipelines, ensure data quality and governance, and collaborate with data scientists, BI analysts and developers in an agile environment.
The role requires strong SQL, Databricks experience, and proficiency with data modeling and enterprise-scale solutions; Spanish is required, English is a plus.