Data Engineer (m/f/d)

Stack

Responsibilities

• ▹Design, build, and optimize end-to-end ETL pipelines for legal data
• ▹Work with XML-based legal data feeds
• ▹Develop and maintain data models and storage schemas
• ▹Implement metadata enrichment strategies
• ▹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 designing robust data pipelines
• ▹Experience building and maintaining reliable ETL and RAG pipelines
• ▹Solid understanding of data modeling, quality, filtering, validation, and consistency
• ▹Familiarity with containerization (Docker), CI/CD pipelines, and version control (Git)
• ▹Strong grasp of data structures, algorithms, system design principles, and software engineering best practices
• ▹English proficiency at the C2 level

Soft skills

What we offer

• ▹100% remote work possible
• ▹Flexible working hours
• ▹26 days plus December 24th & 31st off, plus 1 additional vacation day per year of employment (up to 30 days)
• ▹Discounts (e.g. Urban Sports Club Membership)
• ▹Laptop (Lenovo or Mac), plus a 1,000 EUR net home office setup budget

About the company

Xayn's Data Expansion Squad integrates and operationalizes legal data from multiple jurisdictions, working closely with AI, engineering, and legal domain experts to build AI-driven legal data solutions.