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
: We don’t just work together - we grow together. What unites us is understanding each other as people and working toward shared goals
Elevate each other
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? 🚀
As a Senior 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. 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 context and stakeholder needs. - Professional proficiency in Python for data processing and pipeline development. - Strong knowledge of cloud database solutions such as BigQuery, Snowflake, or Databricks. - You are a forward-thinking builder who views AI as a core component of modern architecture. You have a proven interest (or experience) in working with LLMs, agentic workflows, or AI-assisted coding tools to ship higher-quality code, faster. - Excellent communication and stakeholder management skills. We welcome
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 mentoring other engineers. Technologies you will work with
Mostly, but not limited to: GCP, Python, BigQuery, Kubernetes, Airflow, dbt, Terraform, Atlan (data governance tool), Soda. Diversity, equity, inclusion, and belonging
Thank you for considering a career with Lighthouse. We are committed to fostering a diverse and inclusive workplace that values equal opportunity for all. We welcome candidates from all backgrounds, regardless of age, gender, race, religion, sexual orientation, and disability. Our commitment to equality is part of our culture. If you require reasonable accommodation at any point during the application or interview process, please notify your recruiter. Not ticking every box? No problem! We value diverse backgrounds and unique skill sets, and we encourage individuals from all walks of life to apply. If your experience looks a little different from what we've described, but you're passionate about what we do and are a quick learner, we'd love to hear from you! ---
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