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Data Engineer (m/f/d)

T-Systems ITC Ibéria·Salary not specified

Primary stack

GCPTerraformPythonCI/CDAirflow

Job description

About the Position

We are looking for a Junior Data Engineer (m/f/d) to join our team in DBIZ, Germany. The role involves managing infrastructure on Google Cloud Platform (GCP), developing data products, and implementing AI solutions using Vertex AI.

Responsibilities

  • Infrastructure Deployment & Management: Efficiently deploy and manage infrastructure on 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.

Requirements

  • 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 management of core GCP services.
  • Knowledge in employing data processing tools like Hive, PySpark, and data orchestration tools like Airflow.
  • Familiarity with managing and integrating diverse data sources.
  • Certified GCP Cloud Architect and Data Engineer would be beneficial.

We Offer

Work environment & flexibility

  • International, dynamic and collaborative environment.
  • T-Social: social initiatives (sports, community, health,...).
  • Hybrid work model (remote/on-site).
  • Flexible working hours.

Growth & development

  • Customized training: access to Coursera to learn whatever you want, whenever you want.
  • Weekly language classes (English & German).
  • International Mentoring Sessions & Experience Days.

Compensation & benefits

  • Flexible compensation plan (health insurance, meal vouchers, childcare, transport).
  • Telemedicine.
  • Life and accident insurance.
  • Social fund.

Wellbeing & time off

  • 26+ working days of vacation per year.
  • Free access to specialist services (medical, legal, wellness).
  • 100% salary coverage during medical leave.

About the Company

T-Systems is part of the Deutsche Telekom Group, with around 30,000 employees worldwide. We create technology with purpose to generate a positive impact on society. We are looking for curious talent, eager to learn, take on challenges, and contribute ideas that transform our customers’ experience.

We trust people: we offer autonomy, continuous support, and a collaborative environment where you can grow without limits. We are one global team, guided by respect, integrity, and a passion for doing better every day.

If you are looking for a new challenge, do not hesitate to send us your CV! Please send CV in English. Join our team!

T-Systems Iberia will only process the CVs of candidates who meet the requirements specified for each offer.

© T-Systems ITC Ibéria. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.

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