Experteer Overview

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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 pipelines

Responsabilidades
• 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 level

Requisitos 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