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# Data Engineer

- **Company:** Cato
- **Location:** Madrid, Spain
- **Salary:** €40,000.0 - €60,000.0
- **Contract:** Permanent contract
- **Skills:** HTML, Artificial Intelligence, Airflow, Python (Programming Language), PostgreSQL, SQL Databases, Extensible Markup Language (XML), Large Language Models, Data Pipelines
- **Published:** September 18, 2026
- **Apply:** https://www.buscojobs.com.es/data-engineer-en-madrid-ID-372250901

## About the Role

2-4 years building data pipelines in production.
Hands-on with PostgreSQL beyond writing queries - you've had to make one fast.
Exposure to LLM-based extraction is welcome; curiosity about it is mandatory.

## Description

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 doOwn 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 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.Ideal profileReal 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, 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.Experience2-4 years building data pipelines in production.Hands-on with PostgreSQL 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 hereNo 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.AI: batch LLM extraction, embeddings, OCR CompensationRAL €40,000 - €60,000 + equity, depending on seniority and profile.#J-*****-Ljbffr