Data Engineer

Last month, haddock processed 400,000 documents and our AI workforce consumed +15 billion tokens, all running on data. Clean, structured, reliable data is what makes everything else possible. And we're just getting started. This is a key hire. We're looking for a senior Data Engineer who will own and build our data infrastructure from scratch. Someone ambitious, analytical, and deeply AI-native who moves fast and understands that great data infrastructure is what unlocks great AI. Who are we? haddock is the AI-powered back‑office for restaurants. We started as a system of record (inventories, purchases, invoices, bank reconciliation, P&L reports) and turned it into the harness where our AI workforce lives. They run 24/7, doing the heavy operational work so restaurateurs can focus on what they do best. Our customers don't just save time. They make better decisions, catch problems before they elevate, and run tighter businesses. That's the kind of value we're here to deliver. Our mission is to empower millions of restaurateurs to level up their business. Our vision is to lead the market through innovation, strong relationships, and by becoming the go‑to tech partner for restaurant success. haddock is backed by Y Combinator, the accelerator behind Airbnb and Twitch. We're growing fast with support from JME, Decelera, Extension Fund, Wayra, and Zone2 Boost. Why are we hiring? We're at an inflection point. Our AI workforce is growing, our customer base is expanding, and every team – Sales, CX, Finance, Marketing, and Product – needs to make decisions grounded in reliable, consistent data. Right now, that infrastructure doesn't exist. You'll build it from scratch, and own it. This is a greenfield opportunity to design and own the data foundation that will power haddock's next phase of growth, including the data layer our AI agents rely on to work at scale. What you'll do Design the full data architecture: from raw ingestion to clean, modeled data ready for AI and analytics Build robust pipelines to ingest data from all our systems: product, CRM, finance, marketing, and AI traces Model core data entities so every team works from the same source of truth Ensure data quality and observability: monitoring, testing, and alerting so we trust what we ship Power our AI initiatives: lay the data foundations that our AI workforce depends on to work reliably at scale Instrument product usage: events, funnels, retention, giving Product the data they need to make good decisions Put the whole company on the same page: build dashboards and datasets that Sales, CX, Finance, and Marketing actually use What you need to bring 5+ years of hands‑on data engineering experience, ideally in a startup or scale‑up. We'll consider exceptional candidates with less experience but a proven track record of owning data infrastructure end‑to‑end, not just contributing to it. You've built a data warehouse or data platform from scratch, or led a migration of one at scale. Strong SQL and Python. Solid hands‑on experience with Big Query or similar cloud data warehouses. You're AI‑native: you use AI tools daily, stay current with new models and techniques, and apply them to move faster and build better. Product mindset: you understand business context, talk to stakeholders, and care about outcomes not just clean code. Fluent in Spanish and comfortable in English. You’ll stand out if you have experience with Saa S companies with multi-team data needs dbt, ideally a project with 50+ models in production Orchestration tools like Airflow, Prefect, or Dagster Event streaming with Kafka, Pub/Sub, or similar Data quality frameworks and observability tooling Working with AI/LLM traces and usage data Our tech stack Python, SQL, Big Query, Google Cloud Storage, Google Cloud Platform, Post Hog, and several AI providers. What we offer First and foremost, the project itself: a fast‑growing startup with ambition, product‑market fit, and great culture A competitive salary that will increase as haddock and you grow A bright modern office in Barcelona, Poblenou — probably the best office you've ever worked at At least 2 days per week at the office (in‑person collaboration) + 3 days WFH for focus All AI tooling you wish to experiment with A subsidised Urban Sports Club membership: yoga, HIIT, hot studios Salary benefits via Playflow Our Hiring Process Intro call with Enric (AI Lead), 25 minutes. Call with Pol (co‑founder, CPO), 25 minutes. Technical interviews with Enric and Guillermo (Head of Tech) (2 hours). Final call with Arnau (co‑founder, CEO), 25 minutes. Sounds like an opportunity? Apply now. We'd love to meet you. #J-18808-Ljbffr