data engineer for knowledge graphs and AI systems

Vertex Agility is hiring a Senior Data Engineer to work on a data platform connecting Knowledge Graphs, Ontology, semantic data, AI systems, and product modules.

• Build and maintain production data pipelines connecting ontology and knowledge-graph data with downstream product and AI modules;
• Design canonical data models, schemas, and data contracts for shared entities, relationships, and taxonomies;
• Transform semantic and graph data into structured datasets for product engineers, AI engineers, and data scientists;
• Manage schema versioning and ensure ontology and taxonomy changes are safely propagated across downstream systems;
• Build data-quality and validation frameworks covering completeness, consistency, and referential and semantic integrity;
• Develop integration and regression testing for data and schema changes;
• Support data pipelines for AI/ML, analytics, agentic, and retrieval-based workflows;
• Work closely with Ontology, Data Science, AI, and Product Engineering teams.

• Strong hands-on experience with Data Engineering, SQL, and Python;
• Production experience building ETL/ELT data pipelines, orchestration, and monitoring;
• Strong knowledge of data modelling and schema design;
• Experience with AWS or Azure;
• Experience with relational and/or graph data models;
• Experience with data quality, validation, schema evolution, and data contracts;
• Nice to have: Knowledge Graph, Ontology, or Knowledge Representation experience; Neo4j, Amazon Neptune, Azure Cosmos DB, RDF, OWL, SPARQL, or Gremlin; entity resolution, taxonomies, or semantic data; supporting AI/ML, RAG, LLM, or agentic systems; converting graph or semantic data into structured datasets for downstream applications.

• Contract role for 6 months with potential extension.