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# Data Engineer

- **Company:** T-mobile
- **Location:** A Coruña, Spain
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, BigQuery, Data Integration, Domain Name System (DNS), Apache Hadoop, Apache Hive, Identity and Access Management, Virtual Private Networks (VPN), Python (Programming Language), Machine Learning, Network Architecture, Systems Integration, Data Processing, Google Cloud, File Transfer Protocol (FTP), Load Balancing, Firewalls (Computer Science), Amazon Virtual Private Cloud (VPC), Gitlab, Fastapi, Pyspark, Gitlab-ci, Kubernetes, Terraform, Data Pipelines, Web Api
- **Published:** October 16, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=d7f67d42e2310a55

## About the Role

* Familiarity with Google Cloud Platform (GCP)
 * Familiarity with Terraform for infrastructure management
 * Python programming for application implementation
 * Familiarity with GitLab CI/CD for automation
 * Familiarity with network architectures
 * Familiarity with security implementations
 * Familiarity with management of core GCP services
 * Knowledge in employing data processing tools like Hive
 * Knowledge in employing data processing tools like PySpark
 * Knowledge in data orchestration tools like Airflow
 * Familiarity with managing and integrating diverse data sources

## Description

We are looking for a skilled Junior Data Engineer to join our team in DBIZ. The Technik Value Stream teams are responsible for Data Ingest on ODE, development of the relevant data products on ODE, and Operations of the data products on ODE., * Infrastructure Deployment & Management: Efficiently deploy and manage infrastructure on Google Cloud Platform (GCP) including network architectures (Shared VPC, Hub-and-Spoke), security implementations (IAM, Secret Manager, firewalls, Identity-Aware Proxy), DNS configuration, VPN, and Load Balancing.

 * Data Processing & Transformation: Utilize Hadoop cluster with Hive for querying data, and PySpark for data transformations. Implement job orchestration using Airflow.
 * Core GCP Services Management: Work extensively with services like Google Kubernetes Engine (GKE), Cloud Run, BigQuery, Compute Engine, and Composer, all managed through Terraform.
 * Application Implementation: Develop and implement Python applications for various GCP services.
 * CI/CD Pipelines: Integrate and manage GitLab Magenta CI/CD pipelines for automating cloud deployment, testing, and configuration of diverse data pipelines.
 * Security & Compliance: Implement comprehensive security measures, manage IAM policies, secrets using Secret Manager, and enforce identity-aware policies.
 * Data Integration: Handle integration of data sources from CDI, Datendrehscheibe (FTP servers), TARDIS API's and Google Cloud Storage (GCS).
 * Multi-environment Deployment: Create and deploy workloads across Development (DEV), Testing (TEST), and Production (PROD) environments.
 * AI Solutions: Implement AI solutions using Google's Vertex AI for building and deploying machine learning models.