Our offer for you
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 responsibilities
- 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.
What to expect after 6 months
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
About you
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.
