Experteer Overview In this role you will contribute to data ingestion and product development on ODE, while ensuring reliable operations of data products. You’ll work with GCP services, Terraform, and data processing tools to build scalable pipelines and secure, compliant deployments. You will collaborate with cross-functional teams to integrate diverse data sources and enable AI-enabled solutions. This is a hands-on, technically rich role with exposure to cloud infrastructure, data engineering, and ML deployment on Vertex AI.Compensaciones / Ventajas
- Data ingestion and development of data products on ODE
- Operate and maintain data products on ODE
- Deploy and manage cloud infrastructure on GCP (VPC, security, DNS, VPN, load balancing)




- Process data using Hadoop/Hive and PySpark; orchestrate jobs with Airflow
- Manage GCP services via Terraform (GKE, Cloud Run, BigQuery, Compute Engine, Composer)
- Develop Python applications for GCP services
- Implement CI/CD pipelines with GitLab Magenta for cloud deployment and testing
- Enforce security and compliance (IAM, Secret Manager, policy enforcement)
- Integrate data sources (CDI, Datendrehscheibe FTP, TARDIS APIs, GCS)
- Deploy workloads across DEV/TEST/PROD
- Implement AI solutions using Vertex AIResponsabilidades
- Must be a certified GCP Cloud Architect or Data EngineerRequisitos principales
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📌 Data Engineer (M/F/D) (Granada)
🏢 Deutsche Telekom
📍 Granada