Ontology Engineer

Role overview Own the data model that defines how a platform represents organizations, assets, events, and their connections, and what its reports can reliably state. You’ll work with engineers and client subject matter experts to turn complex real-world information into a precise, traceable model that supports onboarding, analysis, and high-stakes decisions.

Responsibilities - Design and maintain entity types, relationships, identifiers, time handling, and provenance, keeping client-provided facts distinct from inferred data. - Translate client conversations into structured models and help shape the questions an onboarding process should ask. - Define mappings from varied public and nonstandard sources, handling conflicting information explicitly. - Develop matching and deduplication approaches for sparse records, with confidence levels carried through to outputs. - Establish model versioning, migration paths, constraints, and regression checks so changes remain dependable. - Create evaluation sets and checks for model-assisted extraction and classification.

Requirements - Production experience with knowledge graphs or semantic models, such as RDF, OWL, SHACL, or property graphs, as well as relational data design. - Strong SQL and PostgreSQL skills, including schema design, constraints, and query plans. - Python skills sufficient to build validation and mapping tools and review other engineers’ code. - Experience with messy data from multiple sources and ensuring claims can be traced to evidence. - Practical use of language models for extraction, with judgment about where they help and where they need constraints. - Ability to work with subject matter experts to create precise models while preserving the meaning of their input; careful attention to legal and contractual privacy boundaries.

Benefits and work setup Remote work aligned with EU working hours, private healthcare, regular team offsites, and opportunities for worldwide travel. Compensation includes a base salary, with equity and performance rewards discussed for suitable candidates.