Data engineer

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.
• 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 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, 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 — 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.

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