Hybrid Junior Data Engineer: GCP, PySpark & AI

T-Systems International; Madrid; Híbrido; EUR 32.000 - 52.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work model

Coursera training access

Weekly language classes (English &

German

Descripción de la vacante

T-Systems International seeks a Junior Data Engineer in Madrid to join the DBIZ team. You will deploy and manage GCP infrastructure, develop data products, and operate data pipelines across DEV/TEST/PROD. Emphasis on Python, Hive/PySpark, Airflow, and Vertex AI for ML tasks.

You will collaborate in an international, dynamic environment with flexible hours, hybrid onsite/remote work, and Coursera training opportunities to grow technical and language skills.

Formación

• Familiarity with GCP.
• Familiarity with Terraform for infrastructure management.
• Python for application implementation.
• Familiarity with GitLab CI/CD for automation.
• Familiarity with network architectures, security implementations, and core GCP services.
• Knowledge in Hive, PySpark, and Airflow.
• Certifications in GCP Cloud Architect and/or Data Engineer are beneficial.

Responsabilidades

• Deploy and manage GCP infrastructure and network architectures.
• Process data using Hive and PySpark; orchestrate with Airflow.
• Develop Python applications for GCP services.
• Manage CI/CD pipelines with GitLab Magenta for deployments.
• Implement security policies, IAM, Secrets management and policy enforcement.
• Integrate data from CDI, FTP servers, TARDIS APIs and GCS.
• Deploy workloads across DEV, TEST, PROD environments.
• Leverage Vertex AI for ML projects.

Conocimientos

GCP familiarity

Terraform

Python

GitLab CI/CD

Security & IAM

Data processing (Hive, PySpark)

Airflow

GKE / Cloud Run / BigQuery

CI/CD pipelines

Educación

GCP Certification (Architect / Data Engineer)

Herramientas

Terraform

GitLab CI/CD

GKE

BigQuery

Airflow

Descripción del empleo

T-Systems International seeks a Junior Data Engineer in Madrid to join the DBIZ team. You will deploy and manage GCP infrastructure, develop data products, and operate data pipelines across DEV/TEST/PROD. Emphasis on Python, Hive/PySpark, Airflow, and Vertex AI for ML tasks.

You will collaborate in an international, dynamic environment with flexible hours, hybrid onsite/remote work, and Coursera training opportunities to grow technical and language skills.