Data Engineer – Legal Data Integration

About the role

As a Data Engineer you will join Noxtua’s Data Expansion Squad, responsible for turning heterogeneous legal data from multiple jurisdictions into a unified, high‑quality foundation. You will work closely with AI, engineering and legal experts to build reliable, scalable pipelines that feed downstream search and AI‑supported workflows.

Key responsibilities

• Design, build and optimise end‑to‑end ETL pipelines for legal data, covering cleaning, transformation, chunking, validation, embedding and ingestion into vector databases.
• Parse, validate, normalise and transform XML‑based legal feeds into internal schemas and unified document formats.
• Develop and maintain data models and storage schemas that support continuously updated, large‑scale datasets.
• Coordinate data handover and integration from internal and external providers, including APIs and web‑scraping pipelines.
• Implement and continuously refine metadata enrichment strategies to maximise searchability.

Required profile

• At least 2 years of professional experience in data engineering with successfully deployed projects.
• Strong Python programming skills and experience designing robust data pipelines.
• Solid understanding of data modelling, quality, filtering, validation and consistency.
• Familiarity with containerisation (Docker), CI/CD pipelines and version control (Git).
• Good grasp of data structures, algorithms, system design principles and software‑engineering best practices.
• English proficiency at C2 level.

Required skills

• Python
• ETL pipeline development
• Data modelling
• XML parsing and transformation
• Docker
• CI/CD
• Git
• Graph databases
• Vector databases
• NLP model deployment (bonus)