Data & BI 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. 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. 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. 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. 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. 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. 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 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 BigQuery or similar cloud data warehouses. ~ Fluent in Spanish and comfortable in English. SaaS 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, BigQuery, Google Cloud Storage, Google Cloud Platform, PostHog, and several AI providers. First and foremost, the project itself: a fast-growing startup with ambition, product-market fit, and great culture 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