Senior Data Engineer/DataOps Engineer - Revenue Management

TL;DR

Senior Data Engineer/DataOps Engineer (Revenue Management): Building and operating production data pipelines and ML model serving infrastructure for dynamic pricing strategies in vacation rentals with an accent on reliability, scalability, and data quality. Focus on deploying pricing models, ensuring operational excellence, and migrating prototypes to production-ready Python systems.

Location: Munich, Germany (hybrid setup with 50% in-office time)

Company

hirify.global is one of the world’s fastest-growing vacation rental technology companies, helping hosts generate more bookings and guests find ideal holiday homes.

What you will do

• Support model deployment and serving by building APIs and infrastructure for pricing and demand models.
• Build and operate production pipelines with monitoring, alerting, and reliable data flows.
• Collaborate with Data Scientists, Analysts, and Engineering teams to productionize prototypes.
• Own infrastructure, CI/CD pipelines, environments, and tooling for the team.
• Implement monitoring, automated testing, observability, and data quality measures.
• Migrate experimental code into robust, maintainable Python applications.

Requirements

• 4+ years in Software Engineering, Data Engineering, DevOps, or MLOps
• Strong Python skills for clean, production-quality code
• Experience with CI/CD, Docker, and infrastructure-as-code (Terraform)
• Familiarity with cloud platforms (AWS preferred) and production deployments
• Proactive mindset with ownership and problem-solving

Nice to have

• Exposure to ML model deployment (MLflow, SageMaker)
• Interest in LLM tools like Claude, Copilot for productivity

Culture & Benefits

• Hybrid flexibility with 50% in-office and up to 8 weeks/year remote from other locations
• Learning budgets, mentorship, and focus on AI tools
• International team of 700 from 60+ nations with collaborative culture
• Travel benefits, gym discounts, and events across 30 offices
• Impactful work in a scale-up with modern tech stack