Who We Are
At 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.
The Role
We 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.

Required 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 concepts and dimensional modeling.
- Spanish and English fluid level.

Preferred Technical Skills
- Experience with dbt, Spark, Kafka

📌 Data Engineer (España)
🏢 Kyndryl
📍 España