Experteer Overview In this role you will design and operate scalable data pipelines on Google Cloud Platform to enable analytics and AI initiatives. You will work within the ADAI practice to translate requirements into robust data solutions, ensuring quality, governance, and reliable processing—from batch to real-time. You’ll collaborate with architects and stakeholders to drive data-driven outcomes in enterprise settings. This is an opportunity to shape cloud-native data platforms and contribute to a culture of belonging and continuous learning.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
- Be Well programs
- hybrid-friendly culture
- certifications with Microsoft, Google, and Amazon
- coaching and hands-on experiences
- personalized development goals
- continuous feedback

📌 Data Engineer - Google Cloud Platform (Madrid)
🏢 Kyndryl
📍 Madrid