in a product management role Breadth of knowledge and familiarity with metadata, enterprise data modeling and industry best practices Proficiency in Semantic technologies and semantic data modeling including OWL, RDF/S, SPARQL, SHACL, Ontology design and knowledge graphs Experience in semantic model integration into large ecosystems and legacy systems A strong technical or Engineering background and broad technical fluency More ❯
and cloud data ecosystems ( AWS, Azure, GCP ). Strong communication and stakeholder engagement skills — translating complex technical concepts into business outcomes. 💡 Bonus Points For Experience with semantic knowledge graphs , RDF/SPARQL , and ontology/taxonomy modeling . Familiarity with metadata-driven AI/ML enrichment . Knowledge of financial mathematics or capital markets. A “can-do” mindset and hunger More ❯
and cloud data ecosystems ( AWS, Azure, GCP ). Strong communication and stakeholder engagement skills — translating complex technical concepts into business outcomes. 💡 Bonus Points For Experience with semantic knowledge graphs , RDF/SPARQL , and ontology/taxonomy modeling . Familiarity with metadata-driven AI/ML enrichment . Knowledge of financial mathematics or capital markets. A “can-do” mindset and hunger More ❯
and cloud data ecosystems (AWS, Azure, GCP). Strong communication and stakeholder engagement skills — translating complex technical concepts into business outcomes. 💡 Bonus Points For Experience with semantic knowledge graphs , RDF/SPARQL , and ontology/taxonomy modeling . Familiarity with metadata-driven AI/ML enrichment . Knowledge of financial mathematics or capital markets. A “can-do” mindset and hunger More ❯
london (city of london), south east england, united kingdom
Luxoft
and cloud data ecosystems (AWS, Azure, GCP). Strong communication and stakeholder engagement skills — translating complex technical concepts into business outcomes. 💡 Bonus Points For Experience with semantic knowledge graphs , RDF/SPARQL , and ontology/taxonomy modeling . Familiarity with metadata-driven AI/ML enrichment . Knowledge of financial mathematics or capital markets. A “can-do” mindset and hunger More ❯
Proficiency in Python, Java and Micro frontend web development with demonstrated ability to write robust, production-quality code. Hands-on experience with knowledge graph and semantic web technologies e.g. RDF, OWL, SHACL, SPARQL Knowledge of one or more rule-based and semantic reasoning tools and frameworks (e.g., Apache Jena, Drools, OWL reasoners such as Pellet or HermiT) Experience working with More ❯
with JSON, XML, or other structured data formats. Experience with rules engines, decision management systems, or low-code/BPM tools. Understanding of knowledge representation, logic, or semantic technologies (RDF, OWL, SPARQL). Awareness of machine learning and how probabilistic and deterministic reasoning can complement each other. Domain experience in financial services, insurance, healthcare, or other regulated industries. Degree in More ❯
