Data Engineer (m/f/d) | Legal AI Tech Start-up | Full Remote

Mission & Vision 

As a Data Engineer (m/f/d), you will support the development of our legal data system by designing and maintaining a robust data infrastructure. You will be responsible for building and optimizing ETL pipelines that process legal data from multiple jurisdictions, while developing data models that ensure consistency, scalability, and accuracy across diverse datasets. A key part of your role will be implementing metadata enrichment strategies that enhance the searchability and usability of legal information. You will also conduct database performance benchmarking and tuning to guarantee efficient query execution and long-term scalability. Working closely with product teams, researchers, and legal domain experts, you will deliver high-quality, reliable data solutions that help us unlock the value of complex, multilingual legal content.

Your Team

You will join our AI Team led by Felix (Head of AI), working closely with a group of approximately 5 AI 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 Head of AI, 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: Full-time or Part-time.

Vacation: 26 days + December 24th & 31st off

Remote: 100% remote work possible (given a European residence), other countries upon request

Discounts: e.g. Urban Sports Club Membership

Equipment: Laptop (Lenovo or Mac), second screen, keyboard etc.   

Your Tasks

Build and optimize ETL pipelines to process legal data from multiple jurisdictions, including chunking, embedding and ingesting legal data.

Develop and maintain data models that ensure consistency, scalability, and accuracy across diverse datasets and large amounts of data.

Coordinate data handover from different sources.

Implement metadata enrichment strategies to enhance searchability and usability of legal information.

Experiment with embedding strategies and training embedding models, 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.

Our Tech Stack

Programming Languages: Python

Data format: XML, parquet

Frameworks: Blob Storage systems like S3 (especially OTC OBS), langchain, langgraph

Vector Search: ElasticSearch, Qdrant, Pinecone

Graph Databases: Neo4j, Amazon Neptune, TigerGraph

Libraries: HuggingFace, Transformers, NumPy, Pandas, Pydantic, FastAPI, OpenAI & PyTorch

Deployment Tools: Docker

Cloud Infrastructure: OTC, AWS, GCP, Azure

Pipeline Orchestration: Apache Airflow, dagster, Prefect

Ticket System: Atlassian JIRA

Repository: Github

CI/CD System: GitHub Actions

Documentation: Confluence

Communication: Slack

Office Application: MS365  

Your Profile

Requirements: Residence & Work Permit: Eligible to work in Germany or within the EU.

Language: English proficiency at C2 level.

Experience: in AI development or data engineering with successfully deployed projects

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

RAG Systems: Experience in building up AI specific RAG pipelines

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.

Über uns

Noxtua ist Europas führende souveräne Legal AI. Die rechtssichere und kompetente KI unterstützt juristische Fachkräfte bei der Recherche rechtlicher Fragestellungen sowie bei der Prüfung und Erstellung juristischer Dokumente. Die DSGVO-konforme Legal AI erfüllt die hohen fachlichen und datenschutzrechtlichen Anforderungen für Rechtsanwält:innen (§ 203 StGB, § 43e BRAO) und ist nach ISO 27001, 9001, 27018, 27017, 42001 sowie dem BSI C5-Standard zertifiziert. Die Produktversion Beck-Noxtua basiert auf den exklusiven Daten des führenden deutschen juristischen Fachverlags C.H.Beck sowie der größten deutschen Wirtschaftskanzlei CMS.Hervorgegangen aus einem Forschungsprojekt von Dr. Leif-Nissen Lundbæk und Professor Dr. Michael Huth an der Universität Oxford und dem Imperial College London im Jahr 2017, verfügt das Legal-Tech-Unternehmen mit Sitz in Berlin – ehemals bekannt als Xayn – über umfassende Erfahrung in der Entwicklung hoch effizienter, DSGVO-konformer KI-Lösungen. Strategische Partner wie Deutschlands führender juristischer Fachverlag C.H.Beck, der Hochleistungsrechen-Spezialist Northern Data, Deutschlands größte Wirtschaftskanzlei und Co-Initiatorin der Legal AI Noxtua CMS sowie die weltweit größte Anwaltskanzlei Dentons haben im Rahmen der Series-B-Finanzierungsrunde insgesamt 80,7 Millionen Euro in das deutsche Startup investiert.