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. For our people-Kyndryls-that means doing purposeful work that powers human progress. Join us and experience a versátil, supportive environment where your well-being is prioritized and your potential can thrive.

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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.
- Knowledge of data warehousing

📌 Data Engineer (Madrid)
🏢 3530 Kyndryl España
📍 Madrid