Job Title: Senior Data Engineer
Location: Hybrid out of Luxembourg
Salary: Competitive Salary + Package
About the Role
As a Senior Data Engineer, you will design, build, and scale cloud-native data pipelines that power real-time analytics and business growth. You’ll optimize data infrastructure, take ownership of key systems end-to-end, and work closely with Software Engineers and Data Scientists to bring data products and models into production. You’ll also mentor team members and help define engineering best practices.
Responsibilities
- Design and implement scalable, cloud-native data pipelines
- Optimize performance and reliability of existing data workflows
- Deploy and maintain AWS infrastructure and Kubernetes workloads
- Own data system components from design through production
- Mentor engineers and participate in code reviews
- Collaborate with Data Scientists to productionize ML and scientific models
What you need
- 5+ years of experience in Data Engineering, Cloud Engineering, or similar roles
- Strong experience with Apache Airflow and ETL pipeline development
- Proficiency with Kubernetes and cloud-native architectures
- Strong Python skills and familiarity with the Python data stack
- Experience with infrastructure-as-code (preferably Terraform)
- Solid understanding of the software development lifecycle
- Self-driven team player with strong ownership and problem-solving skills
Beneficial
- Deep AWS expertise
- Knowledge of MLOps best practices
- Experience in geospatial, earth observation, imaging science, AI, or computer vision is a huge bonus
Key Skills
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- Posted
- Jan 29, 2026
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Luxembourg
- Company
- GTS Group Ltd
Industries
Categories
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