Senior DataOps Engineer​/Software Engineer - Revenue Management

Holidu is one of the world’s fastest-growing vacation rental technology companies. Our mission is to make booking and hosting holiday homes free of doubt and full of joy, by helping hosts generate more bookings with less work and helping guests find a holiday home they truly enjoy. Our team of 700 colleagues from 60+ nations shares a passion for tech, an ambition for constant improvement, and a relentless drive to bring the best experience to more than 40k vacation rental hosts and 4 million annual guests.

You’ll be part of our new Dynamic Pricing & Revenue Management team, working alongside a Data Scientist and a Data Analyst. Together, you will work towards one core goal: helping hosts improve occupancy and earnings through a smart, dynamic, and data-driven pricing strategy.
You’ll work with modern tooling, a cross-functional team, and teammates who care deeply about impact, collaboration, and learning together.

• Data Pipelines
  :
  Airflow + dbt-core, powered by Python, for fast, reliable workflows.
• Data Storage & Querying
  : S3, Redshift (with decentralized data sharing), Athena, and DuckDB.
• ML & Model Serving
  : MLflow, Sage Maker, and deployment APIs for model lifecycle management.
• Cloud & Dev Ops
  :
  Terraform, Docker, Jenkins, and AWS EKS (Kubernetes) for scalable, resilient systems.
• Monitoring
  : ELK, Grafana, Looker, Ops Genie, and in-house tools for full visibility.
• Ingestion
  :
  Kafka-based event systems and tools like Airbyte and Fivetran for smooth third-party integrations.
• Automation & AI
  :
  Extensive use of AI tools like Claude, Copilot, and Codex.

As a Data Ops Engineer – Revenue Management, you’ll be the engineering backbone that enables our Data Scientists to move from experimentation to production. You bridge the gap between data science models and reliable, scalable production systems.
You will:

• Support model deployment and serving: help deploy pricing and demand models into production, building and maintaining APIs and serving infrastructure.
• Build and operate production pipelines: ensure data flows reliably from source to model to output, with proper monitoring and alerting.
• Collaborate cross-functionally: work closely with Data Scientists, Analysts, and Engineering teams to turn prototypes into production-ready solutions.
• Own infrastructure and tooling: set up and maintain the environments, CI/CD pipelines, and infrastructure that the team depends on.
• Ensure operational excellence by implementing monitoring, automated testing, and observability across the team’s production systems.
• Migrate and product ionize POC: turn experimental code into robust, maintainable Python applications.
• Ensure data quality, consistency, and documentation across revenue management metrics and datasets.

You don’t need to meet every requirement — we’re looking for strong fundamentals, ownership, and the motivation to grow.

• 4+ years of experience in Software Engineering, Data Engineering, Dev Ops, or MLOps.
• Strong hands‑on skills in Python — you write clean, production-quality code.
• Experience with CI/CD, Docker, and infrastructure-as-code (e.g., Terraform).
• Familiarity with cloud platforms (AWS preferred) and deploying services in production.
• Exposure to or interest in ML model deployment (MLflow, Sage Maker, or similar) is a strong plus.
• Desire to learn and use cutting‑edge LLM tools and agents to improve your and the entire team’s productivity.
• A proactive, hands‑on mindset: you take ownership, spot problems, and drive solutions forward.

• Impact
  :
  Shape the future of travel with products used by millions of guests and thousands of hosts. At Holidu ideas become products, data drives decisions, and iteration fuels fast learning. Your work matters - and you’ll see the impact.
• Learning
  :
  Grow professionally in a culture that thrives on curiosity and feedback. You’ll learn from outstanding colleagues, collaborate across disciplines, and benefit from mentorship, and personal learning budgets - with a strong focus on AI.
• Great People
  :
  Join a team of smart, motivated and international colleagues who challenge and support each other. We…