Data Engineer (Cloud/AWS)

TL;DR

Data Engineer (Cloud/AWS): Implementing and optimizing cloud-native data pipelines for a space and data analytics company with an accent on real-time analytics and business growth. Focus on cross-functional collaboration with software engineering and data science.

Location: Hybrid work model with work-from-anywhere flexibility

Company

hirify.global is a space and data analytics company focused on Earth Observation and thermal infrared imagery.

What you will do

• Develop and maintain cloud-native data pipelines.
• Optimize performance of existing data pipelines.
• Deploy and maintain cloud infrastructure (AWS).
• Participate in design and code reviews.
• Collaborate with Data Scientists to bring scientific models to production.

Requirements

• 3+ years of experience in Data Engineering or similar roles.
• Experience with implementing and maintaining data pipelines.
• Experience deploying workloads on Kubernetes clusters.
• Proficiency in Python and Python data stack.
• Working knowledge of infrastructure-as-code frameworks, preferably Terraform.
• Strong team player with demonstrated ability to take ownership.

Nice to have

• Expertise with AWS cloud provider.
• Understanding of MLOps best practices.
• Experience in Earth observation, AI, or computer vision fields.

Culture & Benefits

• Attractive compensation package.
• Equity through stock option plan.
• Fast-paced, dynamic startup environment.
• EU Visa sponsorship if needed.
• Attractive Luxembourg tax breaks upon relocation.
• Meal vouchers.