Data Engineer
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Role details
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Job description
- 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, Python, SQL, BigQuery, Google Cloud Storage, Google Cloud Platform, PostHog, and several AI providers.
Requirements
- 5+ years of hands-on data engineering experience, ideally in a startup or scale-up. Weâll consider exceptional candidates with less experience but a proven track record of owning data infrastructure end-to-end, not just contributing to it.
- Youâve 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.
- Youâre 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.
Youâll stand out if you have experience with
- 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
Benefits & conditions
- A competitive salary that will increase as haddock and you grow
- A bright modern office in Barcelona, Poblenou - probably the best office youâve 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
About the company
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 weâre just getting started., 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 donât just save time. They make better decisions, catch problems before they elevate, and run tighter businesses. Thatâs the kind of value weâre 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. Weâre growing fast with support from JME, Decelera, Extension Fund, Wayra, and Zone2Boost.
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