Data Engineer GCP – Terraform, Python and Airflow

Project overview

We are looking for an experienced Data Engineer with a focus on Google Cloud Platform for an exciting project in the area of cloud-based data solutions.

Responsibilities

You will work on the development, integration, and operation of production-level data solutions. The focus will be on building and further developing data pipelines, infrastructure automation, and optimizing cloud environments. You will actively bring modern working methods and best practices into the team.

Requirements

Framework conditions:

Project start from immediate effect, initially until the end of September 2026 with an option for extension. The position is predominantly remote with flexible utilization by arrangement. Freelance activity, 80% remote possible.

We look forward to your application with your current CV, hourly rate, and availability.

• Extensive experience in Data Engineering on Google Cloud Platform
• Proficient knowledge in Infrastructure as Code (Terraform or OpenTofu)
• Very good Python skills in the data engineering context
• Practical experience with Apache Airflow (setup, operation, further development)
• Familiarity with production-level data solutions
• Ideally: Experience in MLOps environment and cost optimization in cloud environments
• Advantageous: Knowledge in Data Mesh or data product-oriented architectures
• Interest in AI-supported coding in the data engineering environment

Project details

• Start: ab Juli
• Duration: 6 Monate
• Remote: hybrid
• Location: Stuttgart, DE
• Languages: German