As a Data Engineer (m/f/d), you support the development of our legal data and search infrastructure end to end. You will design, maintain and optimize robust ETL pipelines that clean and normalize XML-based legal data from multiple jurisdictions while developing scalable data models and metadata enrichment strategies to maximize searchability, semantic relevance and usability of legal information for downstream AI agents and products. A key part of your role will be leveraging generative AI where appropriate to enhance data processing and metadata generation, while continuously benchmarking and tuning database and search performance to ensure efficient, low-latency querying at scale. Working closely with product teams, AI researchers, and legal domain experts, you will deliver high-quality, reliable data solutions that unlock the value of complex, multilingual legal content.

YOUR TEAM

You will join our Data Team, working closely with a group of approximately 5 data experts. This highly collaborative team focuses on pushing the boundaries of generative AI, natural language processing, and privacy-preserving machine learning legal solutions.

YOUR HIRING MANAGER

Felix, our Director of 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.

BENEFITS

• Working hours: Flexible working hours
• Vacation: 26 days + December 24th & 31st off, +1 day for each year of employement (up to a maximum of 30 days) 
• Remote: 100% remote work possible (given a EU residence/ working permit in one of the following countries: Austria, Croatia, Germany, Poland & Slovakia) with the flexibility to use our offices in Berlin, Munich, Paris or Zagreb,
• Home Office Setup Budget: €1,000 paid with your first salary to create your ideal remote workspace
• Equipment: Laptop (Lenovo or Mac)
• Discounts: e.g. Urban Sports Club Membership depending on location 

• Design, build and optimize end-to-end ETL pipelines for legal data from multiple jurisdictions including ingestion, validation, cleaning, transformation, chunking, embedding, and ingestion into vector databases.

• Work extensively with XML-based legal data feeds: parse, validate, normalize, and transform complex 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 high-performance search and retrieval infrastructure enabling agent-based systems to call search functions and retrieve the most relevant legal information efficiently.

• Explore and integrate generative AI techniques to enhance data processing workflows such as structured field extraction, metadata generation and document normalization.

• Experiment with different embedding and chunking strategies including evaluation.

• Conduct database performance benchmarking and tuning to ensure efficient query execution and scalability.

• Collaborate with product, AI, and legal domain experts to deliver high-quality, reliable data solutions.

• Programming Languages: Python
• Data format: XML, parquet
• Vector Search: ElasticSearch, Qdrant
• Graph Databases: Neo4j, Amazon Neptune
• Libraries: HuggingFace, Transformers, NumPy, Pandas, Pydantic, FastAPI, OpenAI & PyTorch
• Deployment Tools: Docker
• Cloud Infrastructure: OTC, AWS
• Pipeline Orchestration: Apache Airflow
• Ticket System: Atlassian JIRA
• Repository: Github
• CI/CD System: GitHub Actions
• Documentation: Confluence
• Communication: Slack
• Office Application: MS365

• Residence & Work Permit: in/ for one of the following countries: Austria, Croatia, Germany, Poland & Slovakia)
• Language: English proficiency at C2 level. 
• Experience: in AI development or data engineering with successfully deployed projects 
• RAG Systems: Experience in building up AI specific RAG pipelines
• Data: Expertise in data processing, filtering, and augmentation
• Databases: Expertise in vector databases, data embedding, benchmarking and management
• Programming: Strong Python skills and experience with AI pipelines 

OPTIONAL 

• Experience in deploying graph databases
• NLP & Generative AI: Familiarity with developing and deploying NLP, generative AI models 
• Familiarity with Kubernetes deployments
• Legal background knowledge

SOUNDS GOOD?

Then, we look forward to receiving your CV via our online application form.

Noxtua is Europe’s sovereign Legal AI. This legally competent AI covers the entire spectrum of legal text work – from information gathering (research) and analysis of complex issues (understanding) to document creation (drafting). The legally compliant AI meets the professional, criminal, and data protection requirements for lawyers (e.g. Section 203 German Criminal Code, Section 43e German Federal Code for Lawyers), is certified according to BSI C5, TISAX, ISO 27001, 9001, 27018, 27017, and 42001. The tech company Noxtua has formed exclusive partnerships with leading European publishing houses from Germany, Austria, Switzerland, Poland, the Czech Republic, and Slovakia for the Legal AI Workspaces Beck-Noxtua, MANZ-Noxtua, Swiss-Noxtua, Beck-Noxtua Poland, Beck-Noxtua Czech Republic and Beck-Noxtua Slovakia.

Founded in 2017 in the German capital as a result of a research project by Dr. Leif-Nissen Lundbæk and Professor Dr. Michael Huth at Oxford University and Imperial College London, the European legal tech company has many years of experience in developing GDPR-compliant AI solutions and now has offices in Paris, Berlin, Zagreb, and Munich. Strategic partners including Germany’s leading legal publisher C.H.BECK as well as the leading law firms CMS and Dentons have invested around 81 million EURO in the European scaleup as part of its Series B.

We explicitly encourage women to apply, as they are currently underrepresented. Our goal is to build a diverse and inclusive work environment that values different perspectives. Of course, we welcome applications from all qualified individuals – regardless of gender, ethnic origin, religion, disability, age, or sexual identity.