GCP Data Engineer: Scalable ETL/ELT & Real-Time Pipelines

Kyndryl; Sevilla; Híbrido; EUR 45.000 - 70.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid-friendly culture

Be Well programs

Certifications with Microsoft, Google,

Certifications with Amazon

Coaching and hands-on experiences

Empowerment to grow and thrive

Descripción de la vacante

Kyndryl in Sevilla is seeking a Data Engineer to build scalable, cloud-native data pipelines on Google Cloud Platform, powering analytics and AI use cases across enterprise environments.

You will collaborate with architects and stakeholders to design data models, ensure data quality, and automate end-to-end data workflows. The role emphasizes hands-on work with GCP services, dbt, Spark, and Kafka in a growth-oriented culture that values learning and belonging.

Formación

• 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.
• Knowledge of data warehousing concepts and dimensional modeling.
• Collaborative and team-oriented mindset.

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.

Conocimientos

SQL

Python

Data Engineer

Analytical thinking

Team collaboration

Herramientas

GCP

BigQuery

Dataflow

Pub/Sub

Composer

Dataproc

dbt

Spark

Kafka

Descripción del empleo

Kyndryl in Sevilla is seeking a Data Engineer to build scalable, cloud-native data pipelines on Google Cloud Platform, powering analytics and AI use cases across enterprise environments.

You will collaborate with architects and stakeholders to design data models, ensure data quality, and automate end-to-end data workflows. The role emphasizes hands-on work with GCP services, dbt, Spark, and Kafka in a growth-oriented culture that values learning and belonging.