Overview
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As a Data Engineer in Kyndryl’s ADAI practice, you will build scalable cloud-native data pipelines on Google Cloud Platform to power analytics and AI use cases across enterprise environments. You will collaborate with architects and business stakeholders to design data models, ensure data quality, and automate end-to-end data workflows. This role offers the chance to work on modern data platforms within a supportive, growth‑oriented culture that values belonging and continuous learning. You will contribute to impactful data initiatives that enable smarter decisions and faster innovation.
Compensaciones / Ventajas
Hybrid-friendly culture
Be Well programs
career development opportunities
certifications with Microsoft, Google, and Amazon
coaching and hands-on experiences
empowerment to grow and thrive
Responsabilidades
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
Requisitos principales
3+ years of experience xqbhyrx as a Data Engineer or similar role
Hands-on experience with GCP services (BigQuery, Cloud Storage, Dataflow, Pub/Sub, Composer, 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 fluent
Strong analytical thinking
Attention to detail
Collaborative and team-oriented mindset
dbt
Spark
Kafka

📌 Data Engineer (GCP) (Sevilla)
🏢 Kyndryl
📍 Sevilla