Data Engineer - Remote

Overview

As a Data Engineer at T-Systems, you will be part of a team that is responsible for data ingestion and the development of relevant data products on Google Cloud Platform, contributing to meaningful projects that advance society.

In Short

• Work with Google Cloud Platform for infrastructure deployment and management.
• Utilize Hadoop and PySpark for data processing and transformation.
• Manage core GCP services using Terraform.
• Develop Python applications for various GCP services.
• Integrate and manage CI/CD pipelines with GitLab.
• Implement security measures and manage IAM policies.
• Handle integration of diverse data sources.
• Create and deploy workloads across multiple environments.
• Implement AI solutions using Google’s Vertex AI.
• Certification as GCP Cloud Architect or Data Engineer is desired.

Requirements

• Strong proficiency in Google Cloud Platform (GCP).
• Expertise in Terraform for infrastructure management.
• Skilled in Python for application implementation.
• Experience with GitLab CI/CD for automation.
• Deep knowledge of network architectures and security implementations.
• Proficiency in data processing tools like Hive and PySpark.
• Familiarity with data orchestration tools like Airflow.
• Certified GCP Cloud Architect and Data Engineer.

Benefits

• International and dynamic work environment.
• Hybrid work model with flexible schedule.
• Continuous training opportunities.
• Flexible compensation plan including medical insurance.
• More than 26 vacation days per year.
• Access to free specialist services.
• 100% salary coverage during medical leave.