Senior Ontology Engineer – Knowledge Graph & Identity

Samba; Porto; Presencial; EUR 60 000 - 100 000; Tempo integral

Resumo da oferta

Samba TV is seeking a Senior Ontologist to own the design, development, and governance of semantic data models and ontologies that power Samba's knowledge graph. You will craft scalable RDF/RDFS/OWL ontologies, SHACL shapes, and derived-attribute schemas, working with product, data engineering, and data science teams.

You will build production-grade knowledge graph pipelines in Python and SPARQL, lead reviews, and mentor junior engineers.

Qualificações

• 5-8 years of hands-on experience in ontology engineering, semantic data modeling, or knowledge graph development.
• Deep expertise in RDF, RDFS, OWL, SPARQL 1.1, and SHACL - with hands-on experience building and validating graph schemas in a production triplestore (Amazon Neptune, Stardog, GraphDB, Jena, or equivalent)
• Strong Python - production-quality, well-tested code; comfortable building data pipelines and graph processing workflows
• Bachelor's degree required in Computer Science, Information Science, Computational Linguistics, Mathematics, or a related field; Master's or PhD strongly preferred

Responsabilidades

• Own the end-to-end design, development, and versioning of Samba TV's core ontologies in RDF/RDFS/OWL - defining entity classes, properties, hierarchies, and constraints that accurately model Samba's data domain at scale
• Author and maintain SHACL shapes for post-load graph validation, consistency checking, and data quality enforcement
• Define and document derived-attribute schemas - genre affinity, brand affinity, topic affinity, lifecycle signals, and viewing summaries - and own the logical definitions that govern how raw events become durable graph attributes
• Establish ontology design standards, change management processes, and versioning practices; evaluate alignment with W3C standards and relevant industry schemas (Schema.org, EIDR, DDEX, W3C PROV)
• Lead ontology design reviews with product, data engineering, and data science stakeholders - articulating trade-offs between expressivity, scalability, and query performance clearly
• Define the aggregation and scoring logic that transforms raw TV viewership and web activity events into the durable affinities, summaries, and inferred signals that live in the graph
• Co-own derivation pipeline design with data engineering - specifying transformation logic, intermediate schemas, and validation checkpoints for Databricks/Spark pipelines that feed the materialized graph substrate
• Reason carefully about what belongs in the graph vs. what should remain virtualized in the data lake - balancing query performance against storage and refresh cost
• Build and maintain production-quality knowledge graph pipelines in Python and SPARQL - well-tested, documented, and scalable to Samba's data volumes
• Design and implement entity resolution and record linkage pipelines that map real-world entities to canonical knowledge graph nodes
• Develop enrichment workflows that integrate third-party data sources into Samba's knowledge graph in a consistent, governed way
• Apply embedding-based and LLM-augmented approaches to ontology mapping, entity disambiguation, and semantic similarity problems
• Support content and semantic embedding pipelines that feed into the vector store and underpin GraphRAG-based AI solutions
• Partner with data engineering and platform teams to ensure the knowledge graph is integrated, queryable, and production-ready at scale
• Collaborate with product to translate business requirements into ontological and graph data model decisions
• Formally mentor Ontology Engineers and junior data scientists on semantic modeling, SHACL design patterns, and graph best practices
• Lead internal technical talks and workshops on ontology, knowledge graph, and semantic web topics

Conhecimentos

Ontology engineering

Semantic data modeling

Knowledge graph

RDF/OWL/SPARQL

Python

Entity resolution

Communication

Formação académica

Bachelor's degree

Master's or PhD preferred

Ferramentas

Amazon Neptune

Stardog

GraphDB

Jena

Descrição da oferta de emprego

Samba TV is seeking a Senior Ontologist to own the design, development, and governance of semantic data models and ontologies that power Samba's knowledge graph. You will craft scalable RDF/RDFS/OWL ontologies, SHACL shapes, and derived-attribute schemas, working with product, data engineering, and data science teams.

You will build production-grade knowledge graph pipelines in Python and SPARQL, lead reviews, and mentor junior engineers.