12 ago
|
3530 Kyndryl España
|
España
12 ago
3530 Kyndryl España
España
At Kyndryl, we run and reimagine the mission-critical technology systems that drive advantage for the world’s leading businesses. with proven expertise and a continuous flow of AI-powered insight, enabling smarter decisions, faster innovation, and a lasting competitive edge. 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 adecuado 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.
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.
Support orchestration, automation, and operationalization of data pipelines.
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.
Experience with dbt, Spark, Kafka, Terraform, or Docker.
Exposure to analytics and BI tools such as Looker or Power BI.
Knowledge of AI/ML data pipelines and MLOps concepts is a plus.
Your career with us isn’t just a job—it’s an adventure with purpose. We offer a dynamic, hybrid‑friendly culture that supports your well‑being and empowers you to grow. Our Be Well programs are thoughtfully designed to support your financial, mental, physical, and social health- because we know that w
📌 Data Engineer (España)
🏢 3530 Kyndryl España
📍 España