Data Engineer (mfd)

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 dataengineering and being involved in successfully deployed projects
• Programming:Strong Python skills with experience in designing robust data pipelines
• Technical Expertise: Experience in buildingand maintaining reliable ET and RAG pipelines and a solid understanding of data modelingqualityfilteringvalidation 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 deploying NLP models is a bonus
• Language: English proficiency at the C2 level

• Design buildand optimize end-to-end ETL pipelines for legal data frommultiple jurisdictions including cleaning transformation chunking validationembedding and ingestion into vector databases
• Work extensively with XML-basedlegal data feeds: parse validatenormalize and transform XML structures into scalable internal schemas and unified document formats
• Developand maintain data models and storage schemas thatsupport continuously updated datasets while ensuring consistencyscalability and accuracy across diverse datasetsand 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 reliableand timely updates
• Implement and continuously refine metadata enrichment strategies to maximize searchability ranking quality and relevance of legal information in vector databases.
• Buildand maintain a high-performance search andretrieval infrastructure enabling agent-based systems to call search functions and retrieve the most relevant legal information efficiently
• Collaborate with productAI and legal domain experts to deliver high-qualityreliable data solutions
• Own the data integration ofone jurisdiction end-to-end

• 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 1000 net home office setup budget (paid with your first salary)