Experteer Overview 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 / Incentivos
- 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 pipelinesResponsabilidades
- 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 levelRequisitos 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 (Barcelona)
🏢 Kyndryl
📍 Barcelona