Your mission Build and run the pipelines that carry a tender from the source portal to the customers 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 youll 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. Write and maintain orchestrator flows: retries, backfills, alerting, and a clear answer to "Did todays run actually land?"

Asegúrese de presentar su candidatura con toda la información solicitada, tal como se expone en la descripción del puesto a continuación.

- 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. Adecuado profile
- Real SQL: you can read an EXPLAIN and say why the plan is bad, not just that it is slow.
- Python youd put in production:



typed, tested, and readable six months later.
- Pipelines youve actually operated: with an orchestrator (Prefect, Airflow, Dagster, ArgoWorkflows) 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 PostgreSQL beyond writing queries — youve had to make one fast.
- Exposure to LLM-based extraction is welcome; curiosity about it is mandatory. What you wont 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 "weve always done it this way" excuses: were here to disrupt, not to follow old patterns. xugodme Our Tech Stack Data & Infra: Python, PostgreSQL, Prefect, K3s/ArgoCD, 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 (Sallent)
🏢 Cato
📍 Sallent