Data Engineer

About UsTebi is creating the first Connected Restaurant Management System that makes hospitality flow. In one seamless platform, Tebi embeds sales, reservations, kitchen prep, payments, and all the data that powers it, creating smooth service and intuitive insights.Founded by Arnout Schuijff, co-founder of Adyen, and backed by €50 million in funding from Index Ventures & CapitalG, Tebi is built in service of hospitality first. Thousands of restaurants, cafés, bars, and coffee shops across the Netherlands, UK, and more countries soon, love running on Tebi.About The RoleWe’re looking for a Data Engineer to help us build the data foundations that power everything from product decisions to personalized customer experiences. You’ll design, maintain, and scale the pipelines that move and transform data across our stack, making it usable, reliable, and accessible for teams across the company.You’ll collaborate closely with product and engineering teams to embed intelligence into the Tebi OS whether it’s aggregating financial data at scale to provide real-time business insights, automating repetitive tasks for restaurant teams, or powering internal tools that help us work more efficiently.This is a high-impact role for someone who loves building clean, scalable systems and gets excited about turning messy data into structured, trustworthy insight.ResponsibilitiesBuild and maintain data pipelines and infrastructure to enable hospitality businesses make sound financial and operational decisionsOwn data infrastructure for real-time and batch processing systemsWork with product teams to identify opportunities where AI/ML can improve user experience or internal workflowsCollaborate with engineers and analysts to collect, label, and structure training data for modelsMonitor and evaluate model performance, and help define feedback loops to keep improving over timeEnsure the ethical, secure, and performant use of data and AI throughout the platformWhat You'll Need5+ years of experience in data engineering, machine learning engineering, or AI infrastructure rolesStrong understanding of data warehousing and data modeling conceptsExperience with data ingestion, transformation, and cleansing conceptStrong SQL skills and experience with data pipeline tools (e.g., Airflow, dbt, ClickHouse) and cloud data platforms (e.g., BigQuery, Snowflake,)Understanding of ML lifecycle from experimentation to deployment and monitoringStrong collaboration and communication skills—you can partner with product teams and explain trade-offs clearlyA product mindset: you care deeply about how your work can be deployed to create powerful user experiences. You are enthusiastic about meeting customers face to face and working with them to understand their needs. Backend engineering experience. For you it's not a problem to develop a new API endpoint that a frontender can use to display the insights in the application. Nice to have:Previous experience in consumer or SaaS products with LLM featuresInterest in hospitality tech and how AI can empower small businessesBenefits:Generous start-up equityCompetitive SalaryLunch provided in the officeTeam building eventsOur ValuesBuild Globally, Execute Locally - We are on a path to evolve an entire industry. We build products globally and we execute our world-class operations locally.Manifest the Win - Changing the world never comes easy. It takes grit. We are playing a team sport and we know winning is a conscious decision.Launch fast and iterate - We believe speed and pragmatism wins the day. We operate with an extreme sense of urgency without compromising on quality.Truth Seeking - We believe in first principles. We get to the heart of a problem and then develop solutions.Dutch Directness - We operate with sophisticated Dutch directness. Open, respectful, and to the point. We create an environment where anyone can say what needs to be said.Evolve - We are in a constant state of change and growth. As a business, as individuals. We embrace change.Owners, not renters - We are all shareholders in Tebi and we act like it. We are drivers, not passengers.What is Restaurant Software?Restaurants and other merchants use various software systems such as Point of Sale (POS), Reservations, Kitchen Display Systems (KDS), Payments, Inventory, Staffing, and the list goes on. These systems all need to speak to each other which they frequently don’t. It’s a mess, and we are fixing it.From buying a croissant at a cafe to having dinner with friends, it’s a €4 Trillion+ global market and a critical part of everyday life in today's economy.