Senior Data Engineer

Job Description

Hydrosat is a space and data analytics company building a new Earth Observation constellation and software to unlock the power of thermal infrared imagery. Our mission is to capture and deliver high spatio-temporal resolution thermal infrared data, currently not available from other sources, to provide insights that benefit the environment, enhance food and water security, and serve other critical applications. Our downstream applications team in Luxembourg combines best-in-class remote sensing, machine learning, and cutting-edge fusion approaches to thermal imagery to deliver innovative and scalable solutions to the agri-food industry.

We are looking for bright, creative, and ambitious people who can work in a dynamic and collaborative start-up environment. Hydrosat is determined to change the way people use space imagery and revolutionize agriculture. Join us on this mission and help transform the world.

What You’ll Do

As a Senior Data Engineer you will design and implement state-of-the-art data pipelines using a modern cloud-native tech stack. You will optimize cloud infrastructure and scale data solutions to support real-time analytics and business growth. Beyond hands-on development, you will mentor other data engineers, conduct code reviews and contribute to defining best practices. Your work will include cross-functional collaboration with software engineering and science.

Responsibilities

• Design and implement cloud-native data pipelines.
• Optimize performance and scalability of existing data pipelines.
• Deploy and maintain cloud infrastructure (AWS).
• Take ownership of system components from concept to delivery.
• Mentor team members.
• Collaborate with Data Scientists to bring scientific models to production.
  
  

Job requirements

• 5+ years of combined experience in Data Engineering, Cloud Engineering or similar roles
• Proficiency in designing scalable, efficient, and maintainable data pipelines and architecture.
• Proficiency in deploying workloads on Kubernetes clusters.
• Strong experience with Apache Airflow.
• Experience in building and managing ETL workflows for data extraction, transformation, and loading.
• Experience with software development life cycle: design, development, test, deployment, operations
• Proficiency in Python and Python data stack
• Working knowledge of some infrastructure-as-code framework, preferably Terraform
• Highly self-motivated, keen learner able to solve challenging problems with creative solutions
• Strong team player with demonstrated ability to take ownership and drive execution
  
  

Desired Qualifications

• Expertise with AWS cloud provider
• Understanding of MLOps best practices for monitoring, versioning, and maintaining models in production.
• Experience in Earth observation, AI, geospatial, imaging science, or computer vision fields.
  
  

Benefits

• Attractive compensation package
• Equity through stock option plan – be part of our long-term success
• Fast-paced, dynamic startup environment with real impact and ownership
• Hybrid work model
• Work-from-anywhere flexibility
• EU Visa sponsorship if needed
• Attractive Luxembourg tax breaks upon relocation & relocation bonus
• Meal vouchers