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.

Engineering

Full-Time/Remote As a Data Engineering Manager, 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.

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 '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 teamof 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. 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: 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 excel at seeing the bigger picture, breaking down large architectural projects into clear, manageable tasks, and accurately estimating effort.

You have a proven interest (or experience) in working with LLMs, agentic workflows, or AI-assisted coding tools to ship higher-quality code, faster. You get energized from optimizing technical architectures, structure, tooling, support and other processes. Professional proficiency in Python for large-scale data processing and pipeline development.

Strong knowledge of data cloud technologies, data streaming systems (like Google Cloud Pub/Sub or Kafka), and cloud database solutions (like BigQuery, Spanner, Snowflake, or Databricks). Fluency in English, with excellent communication and stakeholder management skills.

Experience building integrations with third-party APIs and external data sources. Python, Google Cloud Platform (GCP), BigQuery, Spanner, Pub/Sub, Kubernetes. Learn more about our careers and recruitment process | Our company and leadership team | Beware of recruitment scams

📌 Manager data engineering (Madrid)
🏢 The Hotels Network
📍 Madrid