Data Engineer, Haddock

• 👉 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
• 👉 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

Desirable

• 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
• 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

• We move fast and communicate openly. Our goal is to wrap up the process within a week. Here's what to expect:
• Intro call with Enric (AI Lead), 25 mins
• Call with Pol (co-founder, CPO), 25 mins
• Technical interviews with Enric and Guillermo(Head of Tech) (2 hours)
• Final call with Arnau (co-founder, CEO), 25 mins
• Sounds like an opportunity? Apply now. We’d love to meet you