Key skills
DockerETLPythonAINLPRAGData EngineeringGitVersion ControlCI/CDRemote Work
About this role
Role Overview
- Design, build, and optimize end-to-end ETL pipelines for legal data
- Work extensively with XML-based legal data feeds: parse, validate, normalize, and transform
- Develop and maintain data models and storage schemas
- Coordinate data handover and integration from multiple internal and external data providers
- Implement and continuously refine metadata enrichment strategies
- Build and maintain a high-performance search and retrieval infrastructure
- Collaborate with product, AI, and legal domain experts to deliver high-quality data solutions
- Own the data integration of one jurisdiction end-to-end
Requirements
- at least 2 years of professional experience in data engineering
- Strong Python skills with experience in designing robust data pipelines
- Experience in building and maintaining reliable ET and RAG pipelines
- Familiarity with containerization (Docker), CI/CD pipelines, and version control (Git)
- Strong grasp of data structures, algorithms, system design principles
- Expertise in working with graph databases and familiarity with developing NLP models is a bonus
- English proficiency at the C2 level
Tech Stack
- Docker
- ETL
- Python
Benefits
- 100% remote work possible (given a German residence), other countries upon request
- Flexible working hours
- 26 days vacation + additional days
- Discounts: e.g., Urban Sports Club Membership
- €1,000 net home office setup budget with first salary