Data Engineer — Production ETL for AI-ready Legal Data
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Summary
Data engineer owning the ETL pipelines behind an AI company's legal knowledge base: extracting text from scanned documents, tagging content, and anonymizing sensitive data at scale. Python-centric production data engineering with monitoring, based in Milan.
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.
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. 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.