Junior Data Engineer - España

Your mission Bring a tender from the source portal into Cato: scraping, parsing, merging, enrichment.You’ll start by owning a handful of sources end to end - the scraper, the job behind it, and the data that comes out - and take on more as you go.Not tickets handed to you: sources you’re responsible for.What you’ll actually do Build and maintain scrapers for national tender portals, where reading the source in its original language is part of the job.Keep them alive: portals change their HTML, move endpoints, break pagination, throttle you.You find out before the customer does.Turn messy sources into clean records: broken HTML, inconsistent XML, APIs that lie about their own schema.Write and maintain orchestrator flows: retries, backfills, alerting, and a clear answer to\ “Did today’s run actually land?\ “ Work on merge and dedup - 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.Guard data quality with tests and checks that fail loudly before a customer finds the gap.Ideal profile Python that holds up: typed, tested, and readable six months later.You’ve scraped something real: HTTP, HTML and XML parsing, pagination, sessions, rate limits - and you know why a scraper that worked yesterday is broken this morning.SQL you’re comfortable in: joins, aggregations, window functions.You’ll read from the database every day; tuning and running it isn’t your job.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.You close your own loop: you check that what you shipped actually ran, before someone else has to ask.Experience 1-2 years writing Python in production: scrapers, ETL scripts, automation - anything that had to run unattended and be fixed when it didn’t.Exposure to an orchestrator (Prefect, Airflow, Dagster) is a plus, not a requirement: you’ll learn ours properly.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.Our Tech Stack Data & Infra: Python, Postgre SQL, Prefect, AWS AI: batch LLM extraction, embeddings, OCR Compensation RAL €35,000 - €45,000 + equity, depending on profile.Hiring Manager Lorenzo Rossetto

Experience 1-2 years writing Python in production: scrapers, ETL scripts, automation - anything that had to run unattended and be fixed when it didn’t. Exposure to an orchestrator (Prefect, Airflow, Dagster) is a plus, not a requirement: you’ll learn ours properly. 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.

Our Tech Stack Data & Infra: Python, Postgre SQL, Prefect, AWS AI: batch LLM extraction, embeddings, OCR Compensation RAL €35,000 - €45,000 + equity, depending on profile. Hiring Manager Lorenzo Rossetto