Data Engineer: Build Scalable ETL Pipelines on GCP
Summary
Designs and builds scalable ETL pipelines on GCP to enable analytics and AI use cases using BigQuery, Dataflow, and Pub/Sub.
Kyndryl España, S.A.U. is seeking a Data Engineer to join its Applications, Data & AI (ADAI) practice in Madrid, focusing on cloud-native data platforms on Google Cloud Platform.
You will design scalable data pipelines, enable analytics and AI use cases, and deliver high-quality data solutions in enterprise environments. The role requires strong SQL and Python skills, 3+ years of experience, and hands-on work with GCP services such as BigQuery, Dataflow, and Pub/Sub.