Senior Analytics Engineer
Lighthouse
| Company | Lighthouse |
| Category | Engineering |
| Location | Ghent |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Senior |
| Salary | Not stated by the employer |
| Posted | 17 Jul 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
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
📍 Belgium - Ghent
🕜 Full-Time/Hybrid
What you will do
We’re looking for a Senior Analytics Engineer to help us build reliable, scalable data products for enterprise customers and internal teams. This is a hands-on role with a strong focus on SQL, dbt, data modeling, data-product development, and practical AI integration—not traditional dashboarding alone.
You’ll own work from a stakeholder question through analysis, modeling, quality assurance, and delivery. You’ll also help strengthen how the team works with dbt and contribute to our shift toward scalable data delivery. You will take on direct customer-facing responsibilities, with support from the team as you build that experience.
Where you will have impact
Design, build, and improve reliable production data models and products using SQL, dbt, Python, and BigQuery.
Turn business and customer questions into scalable solutions, owning delivery from scoping and analysis through modeling, testing, documentation, QA, and actionable insights.
Diagnose and improve data quality, query performance, and cost across large, complex datasets.
Partner with Product, Data Science, Engineering, Commercial, and Account Management to define requirements, explain trade-offs, and manage expectations on feasibility and timelines.
Use AI to accelerate development, analysis, scoping, and documentation, and help explore AI-powered capabilities such as automated quality checks and agentic customer or sales tooling.
Share your dbt expertise, strengthen team development practices, contribute to enterprise and internal initiatives, and eventually join the evolving on-call rotation for enterprise data products.
About our team
Lighthouse is not only a data-driven company, we are a data company. The heart of all our products is data. It enables hotels to make the right decisions and fuel our analytical solutions. Being a growth company enables us to regularly attract new and interesting datasets, which can unl