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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer (Gcp) - **Company:** Kyndryl - **Location:** Sevilla, Spain - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, BigQuery, Cloud Storage, Data Infrastructure, Extract Transform Load (ETL), Data Warehousing, Dimensional Modeling, Distributed Computing Environment, Data Flow Control, Python (Programming Language), Cloud Services, Standard Sql, Cloudera, Google Cloud, Data Ingestion, Real Time Data, Data Pipelines - **Published:** August 19, 2026 - **Apply:** https://www.buscojobs.com.es/data-engineer-gcp-en-sevilla-ID-368359528 ## About the Role Compensaciones / Beneficios * 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 Responsabilidades * 3+ years of experience 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 Requisitos principales * 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 ## Description Experteer Overview 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 / Beneficios * 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 Responsabilidades * 3+ years of experience 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 Requisitos principales * 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 ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [The Cloud is Calling: Answer with In-Demand Skills](https://www.wearedevelopers.com/videos/945-the-cloud-is-calling-answer-with-in-demand-skills) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Making Data Warehouses fast. 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