Data Engineer

present of AI; Lombardia; Hybrid; EUR 45,000 - 70,000; Full time

Job summary

present of AI is seeking a data engineer to own the data pipelines behind a legal knowledge base and manage the processing of user-uploaded documents. You will read scanned files, tag content, and anonymize sensitive data while ensuring privacy and data quality at scale.

The role requires about four years of data engineering experience, strong Python skills, and hands-on experience running production ETL pipelines with monitoring.

Qualifications

• 4 years of data engineering experience in production environments.
• Strong Python proficiency for data pipelines and scripting.
• Experience running ETL pipelines in production with monitoring and alerting.
• Fluent in Italian and English; willingness to be based in Milan.

Responsibilities

• Own data pipelines behind a legal knowledge base and the processing of users' uploaded documents.
• Read scanned files, extract text, and tag documents accordingly.
• Anonymize sensitive data and ensure privacy compliance in processing.
• Collaborate with AI Engineering and Legal Engineering to improve data reliability and safety.

Skills

Data engineering

Python

ETL pipelines

Monitoring

Tools

Vector databases

SQL

Job description

The role is about owning the data pipelines behind a legal knowledge base and the processing of users' uploaded documents, from reading scanned files to tagging and anonymizing them. A strong candidate has about four years of data engineering, solid Python, and experience running ETL pipelines in production with monitoring in place. Fluent Italian and English and a willingness to be in Milan are also part of the picture.

How it fits the AI era

AI tools can speed up the routine parts, such as drafting pipeline code, cleaning text and tagging documents, while language models now do some of the document reading itself. What stays human is judging data quality, deciding how sensitive client files are handled, and designing systems that stay reliable at scale. In legal work, one wrong link between sources or one privacy slip matters a lot, so careful ownership counts for more than speed.

How it builds AI experience

The work sits right behind an AI legal assistant, so there is direct exposure to how search, vector databases and document understanding feed AI answers. Working with AI Engineering and Legal Engineering gives a close view of what data makes a legal AI trustworthy. Someone new to this could build a small project that extracts text from scans, tags it and stores it in a vector database.

Worth showing

• Production ETL pipelines in Python
• Monitoring and data quality checks
• Vector and SQL database experience
• OCR or LLM document processing
• Handling sensitive personal data

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About Lexroom.ai

Lexroom is an AI platform for legal professionals that handles legal research, document analysis and drafting of legal documents, per the company.