GCP Data Engineer — Scalable ETL/AI Pipelines (Hybrid)
Summary
Hybrid Data Engineer in Barcelona building cloud-native data platforms on Google Cloud for enterprise clients — designing scalable ETL/ELT pipelines for analytics and AI use cases while ensuring data quality and governance. Core stack: SQL, Python, dbt, Spark, Kafka, Terraform, Docker; requires bilingual Spanish/English.
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.