Data Engineer

Zeno is a legal AI startup reshaping how legal professionals work. We’re building a smart, assistive platform into legal workflows where it can do the most good.

Our technology amplifies legal expertise by freeing professionals to focus where they create the most value. We reduce friction, eliminate repetition, and automate shallow tasks so there is more time for deep thinking and better outcomes.

With secured seed funding and strong product-market fit, we’re entering a critical phase of scale and we’re building a team of world-class engineers and thinkers to get us there.

As a Data Engineer at Zeno, you ll own the pipelines, tooling, and systems that ingest, transform, and serve legal data across our AI stack. You’ll collaborate with product, engineering, and research teams to build scalable infrastructure that turns raw legal input into structured knowledge, fueling features, insights, and intelligent workflows.

You’ll work closely with our ML, product, and infra teams to build the data backbone for everything from retrieval to generation to knowledge extraction. This role is hands-on, systems-focused, and core to our platform and scaling efforts.

• Design and build scalable pipelines to ingest legal data, parse unstructured content, and transformation into data products supporting downstream tasks
• Model legal entities and relationships using graph-based data structures
• Build tooling and pipelines to enrich and validate datasets with metadata, labels, and structure
• Design infrastructure for managing, versioning, and serving structured legal data at scale
• Implement advanced product analytics and benchmarking solutions to support platform quality and feature evaluation
• Partner with research to build labeled datasets and support model evaluation
• Implement data validation, observability, and QA systems for robust operations

• 5+ years of experience in data engineering or backend systems focused on text-heavy or unstructured data
• Very strong programming skills in Python or related languages
• Experience in scraping web data at scale
• Familiarity with vector databases, embedding models, and retrieval pipelines
• Understanding of graph databases (e.g. Neo4j) or graph-structured data modeling
• Solid command of cloud storage, data orchestration (e.g. Dagster, Airflow), and SQL-based analytics
• Pragmatic mindset, with a strong sense of data quality and maintainability
• Bonus: exposure to legal, compliance, academic or other high-complexity document domains

• Be part of a product-driven team reinventing how legal professionals work
• Join early and shape the foundation of a fast-growing, high-impact startup
• Work from our beautiful office in the heart of Rotterdam
• Collaborate with exceptional engineers, researchers, and entrepreneurs
• Competitive compensation and strong upside as we grow

Let’s shape the future of legal work together