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Data Engineer

Lexroom

Lexroom

About Lexroom

is building the AI platform where legal work gets done. In just over two years, we've grown from zero to €25M ARR, and today more than 20,000 legal professionals across

Italy, Spain, Germany, France, and Bulgaria rely on Lexroom

We're backed by $73M from Left Lane Capital, Base10 Partners, and Eurazeo, and we're a team of around 300 builders who move fast, say things straight, and own each outcome.

Our next goal? Become Europe's most-used legal product.

Lexroom, we leave buzzwords behind. Here, you’ll build something that lasts:

a trusted platform, a strong reputation, a new standard for the legal world.

Our proprietary legal data is the engine behind everything Lexroom does. As we scale our Data team, we’re looking for a Data Engineer to own and improve the pipelines and infrastructure behind our legal knowledge base and document processing. You’ll report to our Head of Data and work closely with Product, AI Engineering, and Legal Engineering.

We're not just building a product—we're setting a new standard for the legal world. If you're ready to contribute to something lasting and meaningful, we'd love to hear from you.

Responsibilities

  • Be part of the team setting the benchmark for legal AI in Europe.
  • Collaborate with exceptional colleagues in a culture that values competence, curiosity, and ambition.
  • Your contribution will directly influence how legal professionals work—faster, clearer, and more efficiently.
  • Manage and improve the infrastructure behind our legal database: case law, regulations, legal documents, and the links between sources.
  • Build and improve the pipelines that process our users’ document libraries, from OCR and text extraction to context extraction, metadata tagging, and anonymization.
  • Make sure files uploaded to private user libraries are handled securely and in line with privacy standards.
  • Own pipeline health end to end, with monitoring, alerting, and data quality checks that catch issues before users do.
  • Optimize pipelines for large data volumes and propose architectural changes that make them faster and more robust.

Requirements

  • 4+ years of hands-on experience in Data Engineering, ideally in fast-growing tech, SaaS, or AI companies.
  • Strong Python skills and proven experience designing and running scalable ETL pipelines.
  • Hands-on experience with SQL and NoSQL databases, object storage, and vector databases.
  • Hands-on experience with cloud data infrastructure. GCP is preferred; AWS or Azure also work.
  • Experience setting up monitoring and alerting for production pipelines, and the autonomy to own them end to end.
  • Based in or willing to relocate to Milan. Fluent in English and Italian.
  • , ambition meets discipline and purpose.

Preferred

  • Experience with AI-based document processing (LLMs, NLP, OCR).
  • Experience handling sensitive or personal data.
  • Hands-on experience with dbt and BigQuery.
  • Rewarding your contribution

Pay

€50,000–€70,000 gross per year, based on experience.

Benefits

  • : meaningful equity on top, in line with the seniority of the role
  • Hybrid with office presence in our Milan hub.
  • Comprehensive coverage to ensure peace of mind.
  • Daily support to make your lunch breaks easier.
  • Dedicated time to connect, collaborate, and spark bold ideas.

At

Lexroom

At

Lexroom