Data Engineering Manager

• 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, solution-oriented mindset within your team.
• You excel at seeing the bigger picture, breaking down large architectural projects into clear, manageable tasks, and accurately estimating effort.
• 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.
• 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.
• Experience within the hospitality technology sector or similar industries (e.g. airline industry).

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.

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. 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.

Job details
● 💼 Engineering
● 📍Spain
● 🕜 Full-Time/Remote

Python, Google Cloud Platform (GCP), BigQuery, Spanner, Pub/Sub, Kubernetes.