Job Title: Cloud Data Engineer
Location: Luxembourg, Luxembourg
Job Type: Permanent, Full-time
Working Setup: On-site 4 days per week, 1 remote
Language: English
Package: €100,000 – €120,000 + Stock options + Relocation package
Industry Sector: New Space, Earth Observation, Satellite Imagery
Introduction:
Talent-Relay has partnered with a pioneering space and data analytics company, to onboard an experienced Cloud Data Engineer into their growing team. My client is building a new Earth Observation constellation and leveraging advanced software to unlock the potential of thermal infrared imagery. Their mission is to deliver high spatio-temporal resolution thermal infrared data to enhance food and water security, benefit the environment, and support critical applications across industries.
The Cloud Data Engineer will play a key role in provisioning and maintaining highly scalable (petabyte-scale) data infrastructure using modern cloud technologies such as AWS, Kubernetes, and Terraform. This position requires an experienced, hands-on professional who can lead technical discussions, optimize data pipelines, and collaborate cross-functionally with software engineers and data scientists to implement scalable solutions. If you’re passionate about cloud infrastructure, data engineering, and machine learning applications in Earth observation, this role is for you.
Skills & Requirements:
- 5+ years of combined experience in Data Engineering, Cloud Engineering, or DevOps roles.
- Strong experience with deploying and managing cloud infrastructure (AWS, preferred).
- Expertise in designing, deploying, and maintaining data pipelines in the cloud.
- Strong experience of Python and Python data stack.
- Hands-on experience provisioning and maintaining clusters – Kubernetes, Docker
- Experience with infrastructure-as-code frameworks (e.g., Terraform).
- Familiarity with CI/CD pipeline development and implementation.
- Understanding of the software development lifecycle, from design to deployment.
- Strong problem-solving skills with a keen interest in optimizing system performance.
- Highly self-motivated with the ability to work independently and in a collaborative team.
Responsibilities:
- Deploy and manage cloud infrastructure using AWS.
- Optimize performance and scalability of existing data pipelines.
- Design, deploy, and maintain robust data pipelines in the cloud.
- Lead technical and architectural discussions to drive innovation.
- Take ownership of system components from concept to delivery.
- Collaborate closely with software engineering and data science teams to implement scalable solutions.
- Mentor and guide junior team members where needed.
Preferred Skills:
- Expertise in AWS cloud services.
- Experience with MLOps best practices, including monitoring, versioning, and maintaining models in production.
- Experience in Earth observation, AI, geospatial analysis, imaging science, or computer vision.
Personality Profile:
- Passionate about cloud technology, automation, and scalability.
- A hands-on, individual contributor who thrives in a fast-paced environment.
- Research and engineering mindset, capable of bringing new ideas to the team.
- Pragmatic and solution-oriented, with a focus on long-term impact.
- Strong collaboration skills with the ability to mentor team members and drive execution.