Data Engineer (GCP) - sevilla
Summary
Data Engineer in Kyndryl's ADAI practice, building scalable cloud-native data pipelines on Google Cloud Platform (BigQuery, Dataflow, Pub/Sub) to power analytics and AI. Day to day: designing data models, ensuring data quality, and automating batch and real-time ETL/ELT workflows with SQL and Python, from Sevilla.
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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 / Beneficios
- 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 as a Data Engineer or similar xqbhyrx 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