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Overview
Mid-Level

Data Engineer

Confirmed live in the last 24 hours

Lighthouse

Lighthouse

Greater Madrid Metropolitan Area
On-site
Posted April 3, 2026

Job Description

At Lighthouse, we’re on a mission to disrupt commercial strategy for the hospitality industry. Our innovative commercial platform takes the complexity out of data, empowering businesses with actionable insights, advanced pricing tools, and cutting-edge business intelligence to unlock their full revenue potential.

Backed by $370 million in series C funding and driven by an unwavering passion for growth, we’ve welcomed five companies into our journey and have surpassed $100 million in ARR in 2024. Our 850+ teammates span 35 countries and represent 34 nationalities.

At Lighthouse, 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?

What you will do

As a Data Engineer in our new Data Products team, you will play a key role in shaping the quality and business value of our core data assets. You will be hands-on in designing, building, and maintaining the data pipelines that serve teams across Lighthouse. 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 key data products, 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.
  • Mentor other engineers, sharing your expertise and contributing to their growth.

About our team

The Data Products Team is the definitive source of truth for Lighthouse's data, sitting at the foundational layer of our entire data ecosystem.

Their 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 data entities for product and analytical use.
  • Pipeline Engineering: Building robust ETL/ELT pipelines to transform raw integrated data into trusted domains.
  • Data Quality: Establishing standards and monitoring the health of all foundational data assets. 

We are the core of the Lighthouse platform. We take ingested data from our Integrations teams, turn it into usable data products, and provide that clean output to both the Product Engineering and Data Science & Analytics teams. We rely on the Data Platform team for infrastructure support and tooling.

Lighthouse Office Photo

What's in it for you?

  • Flexible time off: Autonomy to manage your work-life balance.
  • Alan Flex benefits: 160€/month for food or nursery.
  • Flexible retribution: Optional benefits through tax-free payroll deductions for food, transportation and/or nursery. 
  • Wellbeing support: Subsidized ClassPass subscription.
  • Comprehensive health insurance: 100% Alan coverage for you, your spouse, and dependents.
  • Impactful work: Shape products relied on by 85,000+ users worldwide.
  • Referral bonuses: Earn rewards for bringing in new talent.

Who you are

  • Experience in a data engineering role, with a proven track record of building scalable data pipelines.
  • A product engineering mindset, with a focus on understanding business
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