GCP Data Engineer — Scalable ETL/AI Pipelines (Hybrid)
Summary
Hybrid Data Engineer role in Barcelona designing scalable ETL/ELT pipelines on Google Cloud Platform for analytics and AI use cases, with a focus on data quality and governance in enterprise environments. Core stack includes SQL, Python, dbt, Spark, Kafka, Terraform, and Docker.
Kyndryl is seeking a Data Engineer to join its ADAI practice, focusing on cloud-native data platforms on Google Cloud Platform. You will design scalable ETL/ELT pipelines, ingest and transform data for analytics and AI use cases, and ensure data quality and governance in enterprise environments.
Ideal candidates have 3+ years of experience, strong SQL/Python skills, and familiarity with tools like dbt, Spark, Kafka, Terraform, and Docker, with bilingual Spanish/English proficiency.