Data Engineer (m/f/d)| Legal AI Tech Scale-Up | Full Remote

About the role

As a Data Engineer (f/d/m), you will play a key role in our Data Expansion Squad, which is responsible for integrating and operationalizing legal data from multiple jurisdictions. The team transforms heterogeneous source data into a unified, high-quality foundation that powers search, retrieval, and AI-supported workflows across our products.  

Felix, our VP AI & Data Engineering, will guide you through your journey at Noxtua. With deep expertise in AI systems, Felix leads with a passion for innovation and a collaborative approach, ensuring every team member thrives.  
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. Your work will focus on understanding source structures, defining robust mappings, standardizing and enriching content, and ensuring that data is integrated in a way that is reliable, scalable, and easy to use in downstream systems. Our Tech Team of around 32 people, including UI Engineers, UI Designers, AI Engineers, Data Engineers, as well as Fullstack, Backend, and DevOps Engineers. Within that team, the Data Expansion Team provides the data foundation, structure, and metadata needed for our agent-based systems to retrieve relevant legal information efficiently and reliably across jurisdictions.  
Experience: at least 2 years of professional experience in data  engineering, and being involved in successfully deployed projects
Programming:  Strong Python skills with experience in designing robust data pipelines
Technical Expertise: Experience in building  and maintaining reliable ET and RAG pipelines and a solid understanding of data modeling,  quality, filtering,  validation, and consistency
Infrastructure:  Familiarity with containerization (Docker), CI/CD pipelines, and version control (Git)
Fundamentals: Strong grasp of data structures, algorithms, system design principles, and software engineering best practices
Expertise in working with graph databases and familiarity with developing and de ploying NLP models is a bonus
Language: English proficiency at the C2 level 
Design, build,  and optimize end-to-end ETL pipelines for legal data from  multiple jurisdictions, including cleaning, transformation, chunking, validation,  embedding, and ingestion into vector databases
Work extensively with XML-based  legal data feeds: parse, validate,  normalize, and transform XML structures into scalable internal schemas and unified document formats
Develop  and maintain data models and storage schemas that  support continuously updated datasets while ensuring consistency,  scalability, and accuracy across diverse datasets  and large amounts of data
Coordinate data handover and integration from multiple internal and external data providers, including official sources, APIs, and web scraping pipelines, ensuring reliable  and timely updates
Implement and continuously refine metadata enrichment strategies to maximize searchability, ranking quality, and relevance of legal information in vector databases.
Build  and maintain a high-performance search and  retrieval infrastructure enabling agent-based systems to call search functions and retrieve the most relevant legal information efficiently
Collaborate with product,  AI, and legal domain experts to deliver high-quality , reliable data solutions
Own the data integration of  one jurisdiction end-to-end
Building   Europe's sovereign Legal AI  is ambitious, meaningful work — and we want the people doing it to be properly looked after. Our benefits are built around flexibility, real-time off to recharge, and the setup to do your best work from wherever you are. Remote : 100% remote work possible (given a German residence), other countries upon request
Working hours : Flexible working hours
Vacation:  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, depending on location
Equipment : Laptop (Lenovo or Mac), plus €1,000 net home office setup budget (paid with your first salary)

Mid-Level Salary Ranges gross per year:
Germany: €58k – €72k EUR
France: €48k – €59k EUR
Switzerland: 77k – 96k CHF (≈ €75k – €93k EUR)
Sweden: 667k – 828k SEK (≈ €58k – €72k EUR)
Austria: €57k – €71k EUR
Italy: €46k – €58k EUR
Poland: 168k – 209k PLN (≈ €39k – €48k EUR)
Croatia: €35k – €43k EUR
Slovakia: €34k – €42k EUR
The actual offer within the range depends on your relevant experience, demonstrated impact, and interview outcome — not on negotiation skill or gender. In line with the EU Pay Transparency Directive, we are happy to discuss the criteria for placement within the range during the interview process.
For other countries you will get the information within your invitation to a potential interview.