Senior Data Engineering Manager - Ingestion and Transformation at Scale

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  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.

• 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?

As Team Lead for Data Engineering
, you will lead an engineering team that owns end-to-end a set of data domains within our large-scale ingestion and transformation engine, unifying the world's hospitality data into a strategic high-fidelity semantic layer. Your team builds and maintains complex data pipelines handling large data streams. This is a high-impact role where you will see your team's work directly translate into real-world applications that impact hotels worldwide.

The role requires you to combine strong technical experience with operational and people management excellence.

• Lead, coach, and mentor a team of data engineers, fostering a culture of technical excellence and long-term career growth.
• Be the technical guide the team can lean on for growing their technical careers and for collaborating on their technical work, while at the same time being strong with people, organization, structure, planning and driving delivery.
• Drive the architecture, design, implementation, maintenance, improvements and scaling of the streaming and batch data pipelines that ingest and transform the massive volume of data powering our products.
• You are at the forefront of AI evolution, helping to embed intelligence into our organization, way of working and platform. You'll champion an AI-first development culture within the engineering team.
• Identify, estimate, plan and deliver continuous improvements with the team in data quality, system stability, observability, data pipeline performance, latency, and reliability.
• Collaborate closely with product, other engineering teams, support and business teams.

You’ll be leading a skilled team of data engineers who own a number of data domains and integration types that feed our platform. You are responsible end-to-end for the ingestion and complex transformations for these domains, that turn massive streams of structured and less structured data into data products with actionable insights for the hospitality industry.

• You are an experienced people leader with a track record of managing engineering teams, with a passion for coaching and mentoring engineers and driving their technical and professional growth.
• You come from a strong hands‑on background in data engineering, with deep experience in ETL/ELT, batch and streaming pipelines, complex data transformations, and data modelling.
• You have a proactive, "can-do" attitude, viewing challenges as opportunities and inspiring a positive,…