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Lighthouse is an AI-powered commercial strategy platform for the hospitality industry, backed by $370M in Series C funding with over $100M ARR. The company operates globally with 850+ employees across 35 countries and serves tens of thousands of hotels, including all top 15 global chains.
As Manager of Data Engineering, you will lead a team of data engineers responsible for end-to-end ownership of data domains within Lighthouse's large-scale ingestion and transformation engine. Your team builds and maintains complex data pipelines that handle massive data streams, unifying global hospitality data into a strategic, high-fidelity semantic layer that powers AI-driven insights.
Key responsibilities include:
- Lead, coach, and mentor a team of data engineers, fostering technical excellence and long-term career growth
- Serve as a technical guide for the team's technical development while excelling in people management, organization, planning, and delivery
- Drive architecture, design, implementation, maintenance, and scaling of streaming and batch data pipelines handling massive data volumes
- Champion an AI-first development culture within the engineering team
- Identify, estimate, plan, and deliver continuous improvements in data quality, system stability, observability, pipeline performance, latency, and reliability
- Collaborate closely with product, other engineering teams, support, and business teams
You will work with Python, Google Cloud Platform (GCP), BigQuery, Spanner, Pub/Sub, and Kubernetes. The role combines strong technical expertise with operational and people management excellence, positioning you at the forefront of AI evolution within the organization.
Benefits include flexible time off, career development workshops, mobility budget or company car, home office allowance, lunch and eco vouchers, comprehensive health insurance, pension funding, and referral bonuses.
REQUIREMENTS:
- Proven track record managing engineering teams with passion for coaching and mentoring
- Strong hands-on background in data engineering with deep experience in ETL/ELT, batch and streaming pipelines, complex data transformations, and data modeling
- Professional proficiency in Python for large-scale data processing and pipeline development
- Strong knowledge of data cloud technologies, data streaming systems (Google Cloud Pub/Sub, Kafka), and cloud database solutions (BigQuery, Spanner, Snowflake, Databricks)
- Fluency in English with excellent communication and stakeholder management skills
- Proactive, can-do attitude with ability to break down large architectural projects into manageable tasks and accurately estimate effort
- Forward-thinking builder with proven interest or experience in LLMs, agentic workflows, or AI-assisted coding tools
- Ability to optimize technical architectures, structure, tooling, and processes
Welcome (preferred):
- Experience building integrations with third-party APIs and external data sources
- Experience in hospitality technology sector or similar industries (e.g., airline)
