Experteer Overview No espere a enviar su solicitud después de leer esta descripción; se espera un gran volumen de candidaturas para esta ocasión. As a Data Engineer in Kyndryl's ADAI practice, you will design and operate scalable cloud-native data pipelines on GCP to enable analytics and AI use cases. You will work with cross-functional stakeholders to translate requirements into reliable data solutions, building quality, governed data flows and supporting automation. You will contribute to enterprise-scale data platforms that power decision-making and innovation, in a collaborative, growth-oriented environment.Compensaciones / Beneficios• Design, develop, and maintain scalable ETL/ELT pipelines on Google Cloud Platform• Build and optimize data ingestion, transformation, and processing workflows for batch and real-time data• Develop and maintain data models supporting analytics, reporting, and AI initiatives• Implement data quality validation, monitoring,



and governance controls• Collaborate with architects and business stakeholders to translate requirements into technical solutions• Support orchestration, automation, and operationalization of data pipelinesResponsabilidades• 3+ years of experience as a Data Engineer or similar role• Hands-on experience with Google Cloud Platform services such as BigQuery, Cloud Storage, Dataflow, Pub/Sub, Composer, and Dataproc• Strong SQL and Python xqbhyrx programming skills• Experience developing ETL/ELT pipelines and distributed data processing solutions• Knowledge of data warehousing concepts and dimensional modeling• Spanish and English fluid levelRequisitos principales• hybrid-friendly culture• Be Well programs• certifications with Microsoft, Google, and Amazon• continuous feedback• personalized development goals• impactful, meaningful work

📌 Data Engineer - Google Cloud Platform (GCP) (Barcelona)
🏢 Kyndryl
📍 Barcelona