Experteer Overview In this role you will help build and operate data products on the ODE platform. You work within Technik Value Stream teams to deploy and manage cloud infrastructure, implement data processing, and support secure, multi-environment deployments. You will collaborate across data ingestion, transformation, and AI model deployment using Google Cloud tools. This is an opportunity to contribute to scalable data solutions and secure cloud operations in a hands-on environment.Compensaciones / Ventajas
- Infrastructure deployment and management on GCP (networking, security, DNS, VPN, load balancing)
- Data processing and transformation using Hadoop/Hive and PySpark
- Orchestrating jobs with Airflow and managing CI/CD pipelines with GitLab Magenta
- Developing Python applications for GCP services and automation via Terraform
- Security and IAM policy management,



Secret Manager usage, and policy enforcement
- Data integration from CDI, Datendrehscheibe FTP, TARDIS APIs, and GCS
- Multi-environment deployment across DEV, TEST, PROD
- AI solutions development with Vertex AI for model build/deployResponsabilidades
- Certified GCP Cloud Architect or Data Engineer
- Experience with GKE, Cloud Run, BigQuery, Compute Engine, Composer
- Proficiency in PySpark and Hive for data processing
- Familiarity with Terraform and GitLab Magenta CI/CD
- Knowledge of IAM, Secret Manager, IAP, secret handling
- Data integration experience from multiple sources and GCS
- Python development for GCP servicesRequisitos principales
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📌 Data Engineer (M/F/D) (Reus)
🏢 Deutsche Telekom
📍 Reus