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. Their mission centers on delivering high spatio-temporal resolution thermal infrared data, filling a crucial gap in current capabilities. The Luxembourg-based downstream applications team combines advanced remote sensing, machine learning, and innovative fusion approaches to thermal imagery to create scalable 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 cutting-edge technologies like Kubernetes, Terraform, and AWS. The role involves creating sophisticated CI/CD pipelines and implementing large-scale data processing and machine learning pipelines. You'll work in a dynamic startup environment where cross-functional collaboration with software engineering and science teams is essential.

The ideal candidate brings 5+ years of experience in Data Engineering, Cloud Engineering, or DevOps, with strong expertise in cloud infrastructure, data pipelines, and Kubernetes. You'll need proficiency in Python and infrastructure-as-code frameworks, particularly Terraform. The role offers opportunities to lead technical discussions, mentor team members, and drive system components from conception to delivery.

Join Hydrosat to be part of a mission-driven team that's revolutionizing agriculture through space imagery. The company offers attractive compensation, including a stock option plan, and the chance to work in a fast-paced, dynamic startup environment where your contributions can have a significant impact on global food and water security.