Data Engineer

• Lexroom http://lexroom.ai/ 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 http://lexroom.ai/.
• 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.

• Shape the Standard: Be part of the team setting the benchmark for legal AI in Europe.
• Work with the Best: Collaborate with exceptional colleagues in a culture that values competence, curiosity, and ambition.
• Deliver Meaningful Results: Your contribution will directly influence how legal professionals work—faster, clearer, and more efficiently.

The Role

• 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.

Your key responsibilities

• Legal Data Infrastructure: Manage and improve the infrastructure behind our legal database: case law, regulations, legal documents, and the links between sources.
• Document Processing Pipelines: Build and improve the pipelines that process our users' document libraries, from OCR and text extraction to context extraction, metadata tagging, and anonymization.
• Data Security & Privacy: Make sure files uploaded to private user libraries are handled securely and in line with privacy standards.
• Reliability & Monitoring: Own pipeline health end to end, with monitoring, alerting, and data quality checks that catch issues before users do.
• Scale & Performance: Optimize pipelines for large data volumes and propose architectural changes that make them faster and more robust.

What we're looking for

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

Nice to have

• 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

• Compensation: €50,000–€70,000 gross per year, based on experience.
• Equity: meaningful equity on top, in line with the seniority of the role

Benefits

• Hybrid Work: Hybrid with office presence in our Milan hub.
• Health Insurance: Comprehensive coverage to ensure peace of mind.
• Meal Vouchers: Daily support to make your lunch breaks easier.
• Team Retreats & Off-sites: Dedicated time to connect, collaborate, and spark bold ideas.

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.