Lexroom · Legal
Data Engineer
- Milan (Hybrid)
- Full-time
- €50,000 - €70,000 / year
Still open on Lexroom's site · checked 5 hours ago
- Posted
Data Engineer
Lexroom
What you'll do
As written by Lexroom · Read the original
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.
Requirements
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.
Skills
Stack
- Python
- SQL
- dbt
- AWS
- Google Cloud
- Azure
Working languages
English
Salary & benefits
Benefits That Matter
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.
Company
Last checked . The details above were extracted automatically; the employer's original posting is the authority.
