Cloud Data Engineer

Space and data analytics company building an Earth Observation constellation and software to unlock the power of thermal infrared imagery.
Luxembourg
Cloud
Senior Software Engineer
In-Person
11 - 50 Employees
5+ years of experience
Space · AI

Description For Cloud Data Engineer

Hydrosat is an innovative space and data analytics company focused on building an Earth Observation constellation and software platform for thermal infrared imagery analysis. The company's mission centers on delivering high-resolution thermal infrared data to support environmental monitoring, food security, and water management applications. As a Cloud Data Engineer, you'll be working with petabyte-scale data processing using modern technologies including Kubernetes, Terraform, and AWS. The role involves creating and maintaining scalable data processing and machine learning pipelines, while collaborating with software engineering and science teams. The position offers an opportunity to work in Luxembourg, contributing to cutting-edge remote sensing and machine learning applications in the agri-food industry. The ideal candidate will have strong experience in cloud infrastructure, data pipeline development, and DevOps practices, with the ability to mentor team members and drive technical discussions. This role combines technical expertise with leadership responsibilities, making it perfect for someone who wants to make a significant impact in space technology and environmental solutions. The company offers competitive compensation including equity options, making it an attractive opportunity for those interested in joining a dynamic startup environment focused on transformative space technology.

Last updated 8 days ago

Responsibilities For Cloud Data Engineer

  • Deploy and manage cloud infrastructure (AWS)
  • Optimize performance and scalability of existing data pipelines
  • Design, deploy and maintain new data pipelines in the cloud
  • Lead technical and architectural discussions
  • Take ownership of system components from concept to delivery
  • Mentor team members

Requirements For Cloud Data Engineer

Python
Kubernetes
TypeScript
  • 5+ years of combined experience in Data Engineering, Cloud Engineering or DevOps roles
  • Experience with setting up and maintaining cloud infrastructure
  • Experience with implementing and maintaining data pipelines
  • Experience with provisioning and maintaining Kubernetes clusters
  • Experience with software development life cycle
  • Experience building and operating CI/CD pipelines
  • Proficiency in Python and Python data stack
  • Working knowledge of infrastructure-as-code framework, preferably Terraform
  • Highly self-motivated, keen learner able to solve challenging problems
  • Strong team player with demonstrated ability to take ownership

Benefits For Cloud Data Engineer

Equity
  • Attractive salary
  • Stock option plan
  • Fast paced and dynamic startup environment

Interested in this job?

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