Data Engineering Team Lead at Lighthouse

Ghent, Flanders, Belgium -

Full Time

Start Date

Immediate

Expiry Date

28 Dec, 25

Salary

0.0

Posted On

29 Sep, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Team Leadership, Data Pipelines, Python, Cloud Database Solutions, Microservice Architectures, Data Streaming Systems, Stakeholder Management, Data Quality, Data Modeling, ETL, ELT, Collaboration, Product Engineering Mindset, Data Analytics, Data Processing

Industry

Hospitality

Description

At 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. Backed 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 700+ teammates span 35 countries and represent 34 nationalities. At Lighthouse, we’re more than just a workplace – we’re a community. Collaborative, fun, and deeply committed, we work hard together to revolutionize the hospitality sector. Are you ready to join us and shine brighter in the industry’s most exciting rocket-ship? 🚀 What you will do As the Team Lead for our new Data Domains team, you will be instrumental in building a team focused on the quality, insight, and business value of our core data assets. You will lead, mentor, and grow a small, dedicated team of data engineers while remaining partially hands-on in designing and building the data pipelines that serve teams across Lighthouse. You will be the bridge between our data and the business, using your technical and product expertise to ensure our data effectively serves our internal consumers. Where you will have impact Build, lead, and mentor a high-performing team of data engineers, supporting their technical and professional growth. Become the expert for key data domains, understanding its lifecycle, quality, and business applications. Lead your team to design, implement, and maintain the streaming and batch data pipelines that power our products and internal analytics. Collaborate directly with data consumers to understand their needs, gather requirements, and deliver robust data solutions. Deliver improvements in data quality, latency, and reliability, ensuring our data is trustworthy and fit for purpose. Drive a product engineering mindset within the team, focusing on delivering value and solving business problems through data. About our team The Data Domains Team is the definitive source of truth for Lighthouse's data, sitting at the foundational layer of our entire data ecosystem. Their 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: Data Modeling & Ownership: Defining and optimizing core data entities for product and analytical use. Pipeline Engineering: Building robust ETL/ELT pipelines to transform raw integrated data into trusted domains. Data Quality: Establishing standards and monitoring the health of all foundational data assets. We are the core of the platform. We take raw data from our Integrations, turn it into usable insights, and provide that clean output to both the Product Engineering and Data Science teams. We rely on the broader Data Platform for infrastructure support. What's in it for you? Flexible working environment: Work from home or at one of our global offices. Flexible time off: Autonomy to manage your work-life balance. Collaborative team: High-bar, friendly, creative, and passionate colleagues. Career development: Workshops, frameworks, tools, training, and processes to realize your full potential. Impactful work: Shape products relied on by 75,000+ users worldwide. Mobility options: Mobility budget or company car tailored to your needs. Comprehensive health insurance: Extensive coverage for you and your dependents. Private pension funding: Group insurance to secure your future. Competitive compensation: Proactively maintained to value your work. Referral bonuses: Earn rewards for bringing in new talent. Who you are Relevant experience in a data engineering role, with a proven track record building scalable data pipelines. At least 1 year of experience in a people management role. A product engineering mindset, with a focus on understanding business context and working closely with stakeholders to solve their data challenges. Professional proficiency in Python for data processing and pipeline development. Strong knowledge of cloud database solutions such as BigQuery, Snowflake, or BigTable. Experience with microservice architectures and data streaming systems like Kafka or Google Cloud Pub/Sub. Fluency in English, with excellent communication and stakeholder management skills. Technologies you will work with Google Cloud Pub/Sub, BigTable, BigQuery, Dataflow, Kubernetes, Python. #LI-Hybrid 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. 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. If you share our passion for innovation and teamwork, we invite you to join us in shaping the future of the hospitality industry. At Lighthouse, our guiding light is to be an equal opportunity employer, and we encourage individuals from all walks of life to apply. Not ticking every box? No problem! We value diverse backgrounds and unique skill sets. 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. We value the unique perspective and talents that you bring, and we're excited to see how your light can shine within our team. We can't wait to meet you and explore how we can grow and succeed together, illuminating the path towards a brighter future for the industry. #LI-Hybrid

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Responsibilities

Lead and mentor a team of data engineers while being hands-on in designing and building data pipelines. Collaborate with data consumers to understand their needs and deliver robust data solutions.