Love turning messy web data into clean pipelines, with AI in production rather than in a demo? This one's for you.

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About the company

An
AI-native startup
helping companies find, analyse and win public tenders, a market worth around 10% of EU GDP.
- Traction:
120+ customers within a year of the first paying client
- Funding:
€6M Seed just closed, backed by top European VCs
- Growth:
expanding to 6 countries, with Barcelona as the first hub abroad
- Team:
~30 people, 14 in engineering

? About the role
- ?
Location:
Barcelona hub (remote for now, hybrid once the office opens)

You'll own the pipelines that carry a tender from the source portal to the customer's screen. No tickets handed down: the sources, jobs and tables are yours.

Day-to-day:
- Scrape & ingest:
build and maintain scrapers for tender portals across Spain and Italy
- Keep it running:
catch broken portals,



endpoints and rate limits before the customer does
- Clean & merge:
turn messy HTML, XML and duplicates into one reliable record
- Orchestrate:
flows with retries, backfills, alerting and data quality checks
- AI enrichment:
batch LLM extraction, embeddings and OCR

What you'll need:
- Production Python:
typed, tested, readable
- Junior (1-2 yrs):
real scraping experience and solid SQL
- Mid (2-4 yrs):
pipelines run with an orchestrator and hands-on PostgreSQL tuning
- Curiosity about
LLM-based extraction
- Stack:
Python · PostgreSQL · Prefect · K3s / ArgoCD · AWS

Who should apply?

Early-career engineers who want ownership, enjoy the detective work of scraping and thrive in a fast, high-trust team.

📌 Data Engineer | AI Startup | Barcelona Hub
🏢 Talent-R
📍 Barcelona