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. 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 general chains and thousands of independent hotels that consistently outperform their markets. Our shared values keep us on a collaborative path fostering a cultural and customer centric environment
We're innovators who care deeply about our customers' success. We make every moment count by knowing what to deliver, why it matters, and how it drives Lighthouse forward
Collaborative, fun, and deeply committed, we work hard together to revolutionize the hospitality sector. 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.
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.
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.
Building robust ETL/ELT pipelines to transform raw integrated data into trusted domains.
Data Quality: Establishing standards and monitoring the health of our foundational property data assets.
We take raw data from many sources, turn it into usable data products, and provide that clean output to serve Engineering and Commercial teams. What's in it for you?
Alan Flex benefits: 160€/month for food or nursery.
Optional benefits through tax-free payroll deductions for food, transportation and/or nursery.
Comprehensive health insurance: Experience in a data engineering role, with a proven track record of building scalable data pipelines.
Professional proficiency in Python for data processing and pipeline development.
Strong knowledge of cloud database solutions such as BigQuery, Snowflake, or Databricks.
Hands‑on experience with dbt or a similar data transformation framework.
You have a proven interest (or experience) in working with LLMs, agentic workflows, or AI‑assisted coding tools to ship higher‑quality code, faster.
Experience with microservice architectures and data streaming systems like Kafka or Google Cloud Pub/Sub.
Familiarity with data governance or data quality tools such as Atlan or Soda.
Experience with entity resolution, fuzzy matching, or data deduplication.
Mostly, but not limited to: GCP, Python, BigQuery, Kubernetes, Airflow, dbt, Terraform, Atlan (data governance tool), Soda.

📌 Senior Engineer, Data Engineering (Madrid)
🏢 Lighthouse Io
📍 Madrid