ppLast month, haddock processed b400,000 documents /b and our AI workforce consumed b+15 billion tokens /b, all running on data. Clean, structured, reliable data is what makes everything else possible. And we're just getting started. /p pThis is a bkey hire /b. 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. /p h3Who are we? /h3 phaddock is the AI-powered back‑office for restaurants. We started as a system of record (inventories, purchases, invoices, bank reconciliation, PL 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. /p pOur 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. /p pOur mission is to empower millions of restaurateurs to level up their business. /p pOur vision is to lead the market through innovation, strong relationships, and by becoming the go‑to tech partner for restaurant success. /p phaddock is backed by Y Combinator, the accelerator behind Airbnb and Twitch. We're growing fast with support from JME, Decelera, Extension Fund, Wayra, and Zone2Boost. /p h3Why are we hiring? /h3 pWe'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.



/p pThis 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. /p h3What you'll do /h3 ul liDesign the full data architecture: from raw ingestion to clean, modeled data ready for AI and analytics /li liBuild robust pipelines to ingest data from all our systems: product, CRM, finance, marketing, and AI traces /li liModel core data entities so every team works from the same source of truth /li liEnsure data quality and observability: monitoring, testing, and alerting so we trust what we ship /li liPower our AI initiatives: lay the data foundations that our AI workforce depends on to work reliably at scale /li liInstrument product usage: events, funnels, retention, giving Product the data they need to make good decisions /li liPut the whole company on the same page: build dashboards and datasets that Sales, CX, Finance, and Marketing actually use /li /ul h3What you need to bring /h3 ul li5+ 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. /li liYou've built a data warehouse or data platform from scratch, or led a migration of one at scale. /li liStrong SQL and Python. Solid hands‑on experience with BigQuery or similar cloud data warehouses. /li liYou're AI‑native: you use AI tools daily,



stay current with new models and techniques, and apply them to move faster and build better. /li liProduct mindset: you understand business context, talk to stakeholders, and care about outcomes not just clean code. /li liFluent in Spanish and comfortable in English. /li /ul h3You’ll stand out if you have experience with /h3 ul liSaaS companies with multi-team data needs /li lidbt, ideally a project with 50+ models in production /li liOrchestration tools like Airflow, Prefect, or Dagster /li liEvent streaming with Kafka, Pub/Sub, or similar /li liData quality frameworks and observability tooling /li liWorking with AI/LLM traces and usage data /li /ul h3Our tech stack /h3 pPython, SQL, BigQuery, Google Cloud Storage, Google Cloud Platform, PostHog, and several AI providers. /p h3What we offer /h3 ul liFirst and foremost, the project itself: a fast‑growing startup with ambition, product‑market fit, and great culture /li liA competitive salary that will increase as haddock and you grow /li liA bright modern office in Barcelona, Poblenou — probably the best office you've ever worked at /li liAt least 2 days per week at the office (in‑person collaboration) + 3 days WFH for focus /li liAll AI tooling you wish to experiment with /li liA subsidised Urban Sports Club membership: yoga, HIIT, hot studios /li liSalary benefits via Playflow /li /ul h3Our Hiring Process /h3 ul liIntro call with Enric (AI Lead), 25 minutes. /li liCall with Pol (co‑founder, CPO), 25 minutes. /li liTechnical interviews with Enric and Guillermo (Head of Tech) (2 hours). /li liFinal call with Arnau (co‑founder, CEO), 25 minutes. /li /ul pSounds like an opportunity? Apply now. We'd love to meet you. /p /p #J-18808-Ljbffr

📌 Data Engineer (Barcelona)
🏢 haddock (YC W22)
📍 Barcelona