Data Engineer (m/f/d)

Role Overview As a Data Engineer, you will play a key role in our Data Expansion Squad, responsible for integrating and operationalizing legal data from multiple jurisdictions. You will work closely with AI, engineering, and legal domain experts to adapt and extend existing data workflows for new customer datasets and source formats. What You Will Do 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, and implement metadata enrichment strategies. Why It Might Be a Fit You will have the opportunity to work on ambitious and meaningful projects, collaborate with product, AI, and legal domain experts, and 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 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 Benefits 100% remote work possible Flexible working hours 26 days + December 24th & 31st off, + 1 additional vacation day per year of employment (up to 30 days) Discounts (e.g., Urban Sports Club Membership) Laptop (Lenovo or Mac), plus €1,000 net home office setup budget (paid with your first salary) Originally posted on Himalayas