[Hiring] Data Engineering Manager @Lighthouse

Role Description

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.

What you will do

• 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.
• 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.

Who you are

• 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 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.

Requirements

• Experience building integrations with third-party APIs and external data sources.
• Experience within the hospitality technology sector or similar industries (e.g. airline industry).

Technologies you will work with

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

Benefits

• Flexible time off: Autonomy to manage your work-life balance.
• Alan Flex benefits: 160€/month for food or nursery.
• Flexible retribution: Optional benefits through tax-free payroll deductions for food, transportation and/or nursery.
• Wellbeing support: Subsidized ClassPass subscription.
• Comprehensive health insurance: 100% Alan coverage for you, your spouse, and dependents.
• Impactful work: Shape products relied on by 85,000+ users worldwide.
• Referral bonuses: Earn rewards for bringing in new talent.

Diversity, equity, inclusion, and belonging

Thank you for considering a career with Lighthouse. We are committed to fostering a diverse and inclusive workplace that values equal opportunity for all. We welcome candidates from all backgrounds, regardless of age, gender, race, religion, sexual orientation, and disability. Our commitment to equality is part of our culture. If you require reasonable accommodation at any point during the application or interview process, please notify your recruiter.