Senior Data Engineer

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