Overview
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As a Senior Cloud Engineer in Bunge’s Global Data Platform, you will design and implement scalable cloud solutions that power data products and analytics. You’ll collaborate with DevOps, Data Engineers, and Data Scientists to automate deployments, ensure security, and maintain platform reliability. You’ll lead infrastructure design and IaC work, shaping a data-focused platform used across a global organization. This role offers a chance to impact core business decisions through robust cloud-native data platforms and observability.
Compensaciones / Beneficios
strong compensation and benefits package
generous paid time off
versátil work arrangements
hybrid work environment
Responsabilidades
Consult with the Data Platform team to enable data platform foundations and new capabilities
Collaborate with Cloud CoE, DevOps CoE, Data Engineers, and Data Scientists to build well-architected automated solutions (CI/CD, data pipelines, observability) on Google Cloud
Develop and maintain infrastructure-as-code templates with Terraform to provision resources and ensure consistent cloud use cases
Architect and maintain Cloud Platform configurations (ingestion pipelines, lake-house, observability tools) and secure integration with applications




Design and implement a platform PKI and observability dashboards using native cloud tools while ensuring high availability with DRs and backup plans
Stay current with cloud tech and DevOps practices and recommend continuous improvements
Mentor and coach DevOps and Cloud Engineers on automation and cloud standards
Foster reuse, scalable design, and a Platform Engineering mindset
Requisitos principales
Post graduate degree in STEM field with 5 years experience as DevOps or Data Engineer
5+ years hands-on DevOps experience with major public clouds (GCP) including Compute Engine, GKE, BigQuery, Cloud Run, Cloud Composer
2+ years of experience creating and maintaining CI/CD pipelines
Google Cloud Professional certifications (Architect, Data Engineer, or DevOps) a plus
Demonstrable Terraform IaC experience for cloud automation
Experience managing large cloud solutions (GCP/AWS/Azure) xqbhyrx
Experience with Kubernetes and Docker
Experience with large-scale monitoring (Google Cloud Monitoring, Datadog, Sentry, Prometheus, Grafana, Splunk)
Proficient in Python and scripting (e.g., Bash)
Knowledge of data mesh and lake-house architecture; agile product team experience
Experience with pipelines using Azure Dev, GitLab, or GitHub suites
Ability to communicate complex concepts to executives and sponsors
Experience with data platform products and big data technologies like Spark (a plus)
strong communication skills
collaboration and teamwork
adaptability and resilience
Google Cloud Platform (GCP): Compute Engine, GKE, BigQuery, Cloud Run, Cloud Composer
Terraform
CI/CD tooling

📌 Senior Cloud Engineer (Barcelona)
🏢 Bunge
📍 Barcelona