Data Engineer
About Staycation
For most people, hotels are places you only visit when you travel.
But we see something different.
Behind their doors, hotels hide some of the most extraordinary spaces cities have to offer: breathtaking rooftops with skyline views, world-class spas and pools, bars and restaurants led by visionary chefs, interiors that spark the imagination, and beds so perfect you never want to leave them.
Yet, most of these spaces remain invisible to the people who live just a few streets away.
Staycation was born from a simple belief: the most inspiring places in your city shouldn’t be reserved for tourists. They should be part of your everyday life, an alternative to a dinner‑date at a restaurant, a spontaneous midweek escape, or a unique way to celebrate a special moment.
Our mission is transform hotels into a new form of urban entertainment.
Places people turn to when they want to feel, connect or recharge. Whether it’s 24 hours, 48 hours, or just a few hours, we’re reinventing the way people experience the cities they call home.
Today, Staycation means:
4 million users in France, Belgium and Switzerland (soon in the UK and Spain)
2,000+ partner hotels among the best 4★, 5★ and iconic palaces
⭐️ 9.3/10 average rating for our experiences
Joining Staycation means becoming part of a passionate, creative, and ambitious team on a quest to redefine what hospitality and city life can be.
✨ The role
As Staycation continues to grow, data has become a strategic asset powering decision‑making, scalability, and future innovation across the company.
We’re now looking for our first Data Engineer to lay the foundations of a scalable, reliable, and future‑proof data platform.
This is a key, structuring role : you’ll take ownership of our data infrastructure, support the analytics team, and enable Staycation’s next growth phase, including new market launches and AI‑driven features.
You’ll report directly to Hélène, our Data Lead , and work closely with a Data Analyst, as well as Product and Engineering teams.
Key responsibilities
️ Scale and strengthen our data infrastructure
Lead the evolution of our data stack to ensure scalability, reliability, and cost efficiency.
Anticipate growth in data volume, complexity, and use cases, and design systems that scale accordingly.
Define and implement long‑term technical standards for the data platform.
Design and maintain robust data pipelines
Build and maintain reliable data pipelines to ingest data from internal systems, APIs, and external tools.
Centralize and factorize pipelines within an orchestration tool, ensuring clear dependencies and monitoring.
Ensure pipelines are resilient, observable, and easy to maintain.
Enable scalable analytics and data modeling
Support Data Analysts by improving dbt project structure, factorizing models, and strengthening transformation quality.
Ensure data models are scalable, maintainable, and aligned with analytics and business needs.
✅ Ensure data quality, reliability & observability
Implement data testing, monitoring, alerting, and freshness checks.
Own the reliability of data used by stakeholders, ensuring trust in dashboards and analyses.
Proactively identify and resolve data issues in production.