Who We AreAt Kyndryl, we run and reimagine the mission-critical technology systems that drive advantage for the world's leading businesses. We are at the heart of progress; with proven expertise and a continuous flow of AI-powered insight, enabling smarter decisions, faster innovation, and a lasting competitive edge. Dé el siguiente paso en su carrera profesional ahora: desplácese hacia abajo para leer la descripción completa del puesto y envíe su solicitud. For our people—Kyndryls—that means doing purposeful work that powers human progress. Join us and experience a adaptable, supportive environment where your well-being is prioritized and your potential can thrive. The RoleWe are looking for a Data Engineer to join Kyndryl's Applications, Data & AI (ADAI) practice, supporting the implementation of modern cloud-native data platforms on Google Cloud Platform (GCP).The ideal candidate is passionate about building scalable and reliable data pipelines, enabling analytics and AI use cases, and delivering high-quality data solutions in enterprise environments. Key Responsibilities:



- 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. Who You AreRequired Experience: - 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 programming skills. - Experience developing ETL/ELT pipelines and distributed data processing solutions. - Knowledg

📌 Data Engineer (España)
🏢 Kyndryl
📍 España