Data Engineering Manager

• 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
• 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

Benefits

• Vision & dental Insurance
• Work from home opportunities
• Health insurance- You get energized from optimizing technical architectures, structure, tooling, support and other processes
• 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
• Professional proficiency in Python for large-scale data processing and pipeline development
• You have a proactive, “can-do” attitude, viewing challenges as opportunities and inspiring a positive, solution-oriented mindset within your team
• Fluency in English, with excellent communication and stakeholder management skills
• 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
• 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)
• Technologies you will work with: Python, Google Cloud Platform (GCP), BigQuery, Spanner, Pub/Sub, Kubernetes
• Not ticking every box? No problem! We value diverse backgrounds and unique skill sets, and we encourage individuals from all walks of life to apply. If your experience looks a little different from what we’ve described, but you’re passionate about what we do and are a quick learner, we’d love to hear from you!
• Experience within the hospitality technology sector or similar industries (e.g. airline industry)
• Experience building integrations with third-party APIs and external data sources