Senior Cloud Engineer – Data Platform (GCP, Terraform)

Bunge Iberica SA; Sant Just Desvern; Híbrido; EUR 70.000 - 100.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flexible work arrangements

Hybrid work environment

Competitive compensation

Descripción de la vacante

Bunge is seeking a Senior Cloud Engineer to join the Global Data Platform team. You will design, implement, and optimize cloud-based data infrastructure using GCP, Terraform, and CI/CD practices to deliver scalable data solutions.

You will collaborate with DevOps, Data Engineers, and Data Scientists to build robust pipelines, secure configurations, and observability across a global data platform, driving innovation and best practices in a dynamic, hybrid work environment.

Formación

• Post graduate degree in STEM with 5+ years DevOps or Data Engineer experience.
• Strong hands-on experience with major public cloud services, especially GCP.
• Proven Terraform IaC experience and CI/CD pipeline development.

Responsabilidades

• Collaborate with Data Platform team to build and improve cloud foundations.
• Design and maintain IaC templates using Terraform to provision resources.
• Lead cloud platform configurations, ingestion pipelines, and lake-house architecture.
• Develop platform PKI and observability dashboards with cloud-native tools.
• Mentor DevOps/Cloud Engineers and promote scalable, repeatable patterns.
• Stay current with cloud tech and DevOps practices to drive improvement.

Conocimientos

GCP

Terraform

CI/CD

Python

Docker

Kubernetes

BigQuery

Cloud Data Platforms

GKE

Compute Engine

Cloud Run

Cloud Composer

Educación

Post graduate degree in STEM

Google Cloud Professional certifications

Herramientas

Datadog

Grafana

Sentry

Descripción del empleo

Bunge is seeking a Senior Cloud Engineer to join the Global Data Platform team. You will design, implement, and optimize cloud-based data infrastructure using GCP, Terraform, and CI/CD practices to deliver scalable data solutions.

You will collaborate with DevOps, Data Engineers, and Data Scientists to build robust pipelines, secure configurations, and observability across a global data platform, driving innovation and best practices in a dynamic, hybrid work environment.