Your mission Build and run the pipelines that carry a tender from the source portal to the customer's screen: ingestion, merge, enrichment, delivery. You own concrete pieces of the data pipeline end to end — not tickets handed to you, but the sources, jobs and tables behind them. What you'll actually do Own scrapers and ingestion for a set of national portals across Spain and Italy, where reading the source in its original language is part of the job.

¿Le interesa este puesto? Puede encontrar toda la información relevante en la descripción a continuación.

Write and maintain orchestrator flows: retries, backfills, alerting, and a clear answer to "Did today's run actually land?" Work on merge, dedup and reconciliation — the same tender arrives three times, in three shapes, and only one version can reach the customer. Ship AI enrichment steps: batch LLM extraction of requirements, embeddings, OCR on attachments. Write SQL that survives production: query plans, indexes, JSONB, partitioning, CONCURRENTLY migrations.

Guard data quality with tests and checks that fail loudly before a customer finds the gap. Idóneo profile Real SQL: you can read an EXPLAIN and say why the plan is bad, not just that it is slow. Python you'd put in production: typed, tested,



and readable six months later. Pipelines you've actually operated: with an orchestrator (Prefect, Airflow, Dagster, Argo Workflows) and the 3 a.m. failures that come with them.

Builder by default: you see a manual process and your first instinct is to automate it. Comfortable with messy sources: broken HTML, inconsistent XML, PDFs that were scans of scans. Experience 2–4 years building data pipelines in production. Hands-on with Postgre SQL beyond writing queries — you've had to make one fast. Exposure to LLM-based extraction is welcome; curiosity about it is mandatory. What you won't find here No micromanagement: we trust you to own your part of the stack.

No "standard" 9-to-5 mentality: we care about outcomes and we are looking for people who are willing to go the extra mile. No "we've always done it this way" excuses: we're here to disrupt, not to follow old patterns. xugodme Our Tech Stack Data & Infra: Python, Postgre SQL, Prefect, K3s/Argo CD, AWS AI: batch LLM extraction, embeddings, OCR Compensation RAL €40,000 – €60,000 + equity, depending on seniority and profile. Hiring Manager Lorenzo Rossetto

📌 Data engineer (España)
🏢 Cato
📍 España