PpAt Lighthouse, we’re on a mission to disrupt commercial strategy for the hospitality industry. Our innovative commercial platform takes the complexity out of data, empowering businesses with actionable insights, advanced pricing tools, and cutting‑edge business intelligence to unlock their full revenue potential. /p pBacked by $370 million in series C funding and driven by an unwavering passion for growth, we’ve welcomed five companies into our journey and have surpassed $100 million in ARR in 2024. Our 850+ teammates span 35 countries and represent 34 nationalities. /p h3What you will do /h3 pAs our bLead Data Engineer /b, you will be a key contributor in owning our core data assets as products. Acting as the bridge between technical teams and product managers, you will translate business needs into a data roadmap. Blending technical expertise with a product mindset, you will design and implement the scalable data solutions that power our products, ensuring our data effectively empowers its consumers across Lighthouse. /p h3Where you will have impact /h3 ul liTake ownership of key data products, becoming the go‑to expert for its entire lifecycle, quality, and business applications. /li liDesign, implement, and maintain the scalable streaming and batch data pipelines that power our products and internal analytics. /li liYou will be at the forefront of our AI evolution, helping to embed intelligence into our platform. You’ll build AI features for our customers and champion an AI‑first development culture within the engineering team. /li liCollaborate directly with data consumers to understand their needs, gather requirements, and deliver robust data solutions. /li liDeliver improvements in data quality, latency, and reliability. /li liBe driven by a product‑first mindset, focusing on delivering value and solving business problems through data. /li /ul h3About our team /h3 pThe Data Products Team is the definitive source of truth for Lighthouse’s data, sitting at the foundational layer of our entire data ecosystem. /p pTheir core mission is to model and deliver high‑quality, foundational data products that are essential ingredients for all downstream product features, machine learning models, and data science initiatives across the company: /p ul liData Modeling Ownership: Defining and optimizing core data entities for product and analytical use. /li liPipeline Engineering: Building robust ETL/ELT pipelines to transform raw integrated data into trusted domains. /li liData Quality: Establishing standards and monitoring the health of all foundational data assets. /li /ul h3What’s in it for you? /h3 ul liFlexible time off: Autonomy to manage your work‑life balance. /li liCareer development: Workshops, frameworks, and trainings to maximize your professional potential. /li liImpactful work: Shape products relied on by 85,000+ users worldwide. /li liMobility options: Mobility budget or company car (based on your job category). /li liNet allowance: Support for home office related expenses. /li liVouchers: Lunch vouchers Eco vouchers. /li liComprehensive health insurance: Extensive coverage for you and your dependents. /li liPension funding: Group insurance to secure your future. /li liReferral bonuses: Earn rewards for bringing in new talent. /li /ul h3Who you are /h3 ul liExperience in a data engineering role, with a proven track record building scalable data pipelines. /li liA product engineering mindset, with a focus on understanding business context and working closely with stakeholders to solve their data challenges. /li liProfessional proficiency in Python for data processing and pipeline development. /li liStrong knowledge of cloud database solutions such as BigQuery, Snowflake, or Databricks. /li liExperience with microservice architectures and data streaming systems like Kafka or Google Cloud Pub/Sub. /li liYou 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. /li liFluency in English, with excellent communication and stakeholder management skills. /li /ul h3We welcome /h3 ul liHands‑on experience with our data stack, including dbt, Terraform, or Atlan. /li /ul h3Technologies you will work with /h3 pMostly: GCP, Python, BigQuery, Kubernetes, Airflow, dbt, Terraform, Atlan (data governance tool), Soda /p pWe 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. We actively encourage applications from individuals with disabilities and are dedicated to providing reasonable accommodations throughout the recruitment process and during employment to ensure all qualified candidates can participate fully. Our commitment to equality is not just a policy; it's part of our culture. /p /p #J-18808-Ljbffr