Staff Data Engineer (Entity Resolution & Identity)
Summary
Staff-level data engineer at Zeno, a legal AI startup in Rotterdam, building core entity resolution and identity systems — matching, merging, and versioning legal entities across large volumes of unstructured legal data. Core tech focus: Python, record linkage, identity graphs, and explainable, reversible merge logic.
The intelligence engine for legal work, providing AI-powered legal research, contract review, risk assessment, and drafting tools for in-house legal teams.
Staff Data Engineer (Entity Resolution & Identity)
As a Staff Data Engineer — Entity Resolution & Identity at Zeno, you will build and own core systems for entity resolution and identity management in a legal AI platform, handling unstructured legal data across jurisdictions. This senior role involves designing durable, explainable systems for matching, merging, and versioning entities with a focus on precision, performance, and maintainability.
Job Description
Staff Data Engineer — Entity Resolution & Identity
About the role
As a Staff Data Engineer — Entity Resolution & Identity, you will build and own the core systems that power Zeno’s data and AI platform. Your work sits at the heart of the product: determining what is the same, what is different, what is a version, and how those decisions evolve over time.
This role is centered on hard engineering problems. You’ll work with large volumes of unstructured and semi-structured legal data from many sources, formats, jurisdictions, and time periods. You’ll design systems that can evolve without constant reprocessing, where every decision is explainable, reversible, and traceable.
You operate at senior-to-staff level and take ownership of long-lived, mission-critical infrastructure where correctness, performance, and maintainability matter deeply.
What you’re working on
What you’ll build
- A durable entity resolution framework
- Canonical entities with stable IDs that survive logic and data changes
- Identity graphs with merge/split semantics and full provenance
- Matching and consensus logic balancing precision, recall, and durability
- Incremental recomputation (no “reprocess the world” when logic improves)
- System-level data quality, validation, and observability
You’ll build systems that can reliably answer:
- Are these two records the same real-world legal entity?
- Is this a duplicate, a variant, a new version, or something else?
- How do we evolve matching logic without rebuilding everything?
- How do we make merges reversible and decisions explainable?
Constraints you’ll work under:
- Unstructured and semi-structured legal data
- Conflicting, incomplete, and shifting sources of truth
- Long-lived correctness requirements across jurisdictions
Who you are
- Staff-level experience in data engineering, solving non-trivial identity, deduplication, or consistency problems
- Strong system design instincts and ownership mindset
- Experience building complex, long-lived production systems
- Strong programming skills (for example Python or similar)
- Hands-on work with unstructured or semi-structured data
You think naturally in terms of:
- Entity resolution, record linkage, and deduplication
- Blocking and candidate generation trade-offs
- Precision/recall calibration
- Survivorship and conflict resolution
- Graph connected components and merge cascades
- Versioning, provenance, and replayability
Nice to have
- Experience in legal, government, or other high-complexity document domains
- Experience building human-in-the-loop review systems
Why this roleThis is not a role focused on maintaining pipelines. You will design and build systems that do not yet exist as standard solutions in a domain where data identity, correctness, and evolution over time are exceptionally challenging.
The ride from startup to scale-up means things will break, and there won’t always be a playbook. You’ll wear multiple hats, ship fast, and learn faster. If you thrive on ownership, speed, and building from zero, you’ll love it here.
The ride from startup to scale-up
Things will break, priorities will shift, and there won’t always be a playbook. You’ll wear multiple hats, ship fast, and learn faster. Some weeks will feel chaotic, some problems will feel bigger than your role. That’s the nature of the ride from startup to scale-up: if you need stability and structure, this won’t fit. But if you thrive on ownership, speed, and building from zero, you’ll love it here.
- 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 in a place where hierarchy doesn’t matter — only the best ideas do.
- Collaborate with a top-tier team of engineers, researchers, and entrepreneurs.
- Competitive compensation, employee benefits and strong upside as we grow.
- An inspiring place to work in the heart of Rotterdam.