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Data Engineer

Lighthouse
CompanyLighthouse
CategoryEngineering
LocationGreater Madrid Metropolitan Area
RemoteOn-site (inferred)
EmploymentNot stated
LevelNot stated
SalaryNot stated by the employer
Posted5 Nov 2025
Last verified30 Jul 2026
SourceEmployer career page (greenhouse)
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Description
Our Mission: Why Lighthouse?  At Lighthouse, we’re on a mission to revolutionize commercial strategy as hospitality’s most powerful AI platform. We take the world's largest hotel data network and transform it into real-time intelligence that drives action. We don't just deliver insights; we empower businesses to make decisions that move revenue.  With $370M in Series C funding and over $100M in ARR, we are scaling at lightspeed. Our 850+ teammates across 35 countries aren't just building software—they are leveraging cutting-edge AI to help hoteliers be the first to act. Tens of thousands of hotels across 185 countries trust Lighthouse to execute their commercial strategy, including every one of the top 15 global chains and thousands of independent hotels that consistently outperform their markets. With Lighthouse AI, the intelligence gets deeper. Decisions get smarter. Actions get faster. We help hoteliers be first to act. Lighthouse Values: Our guiding light We are  Lumineers . Our shared values keep us on a collaborative path fostering a cultural and customer centric environment Pursuit of greatness : We’re innovators who care deeply about our customers’ success. Our team brings their best work, stays curious, and delivers excellence through attention to detail Meaningful work matters : We make every moment count by knowing what to deliver, why it matters, and how it drives Lighthouse forward Elevate each other : We don’t just work together - we grow together. What unites us is understanding each other as people and working toward shared goals We’re more than just a workplace – we’re a community. Collaborative, fun, and deeply committed, we work hard together to revolutionize the hospitality sector. Are you ready to join us and shine brighter in the industry’s most exciting rocket-ship? 🚀 Job details ● 💼 Engineering Team ● 📍 Belgium - Ghent ● 🕜 Full-Time/Hybrid As a Data Engineer in our new Accommodation Facts team, you will play a key role in shaping the quality and business value of our hotel and short term rental property data in close collaboration with our data scientists.. You will be hands-on in designing, building, and maintaining the data pipelines that serve ML models and other parts of the business.  You will act as a bridge between our data and the business, collaborating with stakeholders and ensuring our data effectively enables its consumers. Where you will have impact Become the expert for our hotel and short term rental property data, understanding the full data lifecycle, quality, and business applications. Design, implement, and maintain the streaming and batch data pipelines that power our products and internal analytics. Collaborate directly with data consumers to understand their needs, gather requirements, and deliver data solutions. Deliver improvements in data quality, latency, and reliability. Show a product engineering mindset, focusing on delivering value and solving business problems through data. You will be at the forefront of our AI evolution, helping to embed intelligence into our platform. You’ll not only build AI features for our customers but also champion an AI-first development culture within the engineering team. About our team The Accommodation Facts Team owns the single source of truth for hotel and short term rental property data at Lighthouse, sitting at the foundational layer of our data ecosystem. Our core mission is to model and deliver high-quality, foundational data products that are essential ingredients for all downstream product features, machine learning models, and data science initiatives across the company: Data Modeling & Ownership: Defining and optimizing core hotel and short term rental data entities for product, analytics and commercial teams. Pipeline Engineering: Building robust ETL/E
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