Data Engineer (m/f/d)
Primary stack
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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