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
5+ years of experience
Space

Description For Cloud Data Engineer

Hydrosat is a pioneering space and data analytics company focused on building an Earth Observation constellation and software to harness thermal infrared imagery. The company's mission centers on delivering high spatio-temporal resolution thermal infrared data, filling a crucial gap in current capabilities. Their downstream applications team in Luxembourg combines remote sensing, machine learning, and cutting-edge fusion approaches to provide innovative solutions for the agri-food industry.

As a Cloud Data Engineer, you'll be at the forefront of managing petabyte-scale data processing infrastructure using modern technologies like Kubernetes, Terraform, and AWS. The role involves creating robust CI/CD pipelines and implementing scalable data processing and machine learning pipelines. You'll work in a dynamic startup environment where you'll collaborate across teams, lead technical discussions, and have the opportunity to make significant impacts on system architecture.

The ideal candidate brings 5+ years of experience in Data Engineering or Cloud Engineering, with strong expertise in cloud infrastructure, data pipelines, and Kubernetes. You'll need proficiency in Python and infrastructure-as-code frameworks, particularly Terraform. This role offers the chance to work with cutting-edge space technology while contributing to environmental and food security solutions.

The position offers competitive benefits including an attractive salary package and stock options, making it an excellent opportunity for those looking to make their mark in the space technology sector while working in a fast-paced startup environment in Luxembourg.

Last updated 4 hours 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
  • 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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