Lead Knowledge Engineer - Semantic Web Technologies (Xico)

About the role

Lead Knowledge Engineer – responsible for designing, developing, and maintaining ontologies, taxonomies, knowledge graphs, and related semantic artefacts. This role enables the construction of a connected data layer for various application contexts and drives strategic semantic vision within the organization.

The Knowledge Engineering team within Distribution & Data Platforms partners closely with data and software engineering to envision and build next‑generation data architecture and tooling with modern technologies. The team leads foundational organizational and operational change driving linked data, open data, and data governance strategy. Knowledge Engineering efforts support major strategic initiatives to extend market leadership and build next‑generation data, insights, and analytics products powered by world‑class datasets.

Responsibilities

• Develop, implement, and continue to enhance ontologies, taxonomies, knowledge graphs, and related semantic artefacts for interconnected data, as well as topical/indexed query, search, and asset discovery.
• Design and prototype data and software engineering solutions to scale the construction, maintenance, and consumption of semantic artefacts and interconnected data layers for various application contexts.
• Provide thought leadership for strategic projects ensuring timelines are feasible, work is effectively prioritized, and deliverables met.
• Execute on the interconnected data vision by creating linked metadata schemes to harmonize semantics across systems and domains.

Qualifications

• 5+ years of experience with ontology development, semantic web technologies (RDF, RDFS, OWL, SPARQL) and open‑source or commercial semantic tools.
• ~3+ years of experience in advanced data integration with semantic and knowledge graph technologies in complex, enterprise‑class, multi‑system environments; skilled from conceptualization to optimization.
• Programming skills in a mainstream language (Python, Java, JavaScript); experience with cloud services (AWS, Google Cloud, Azure) is a great bonus.
• Understanding of the agile development life cycle and broader data management discipline (data governance, data quality, metadata management, reference and master data management).
• Advanced studies in computer science, knowledge engineering, information sciences, or related discipline preferred.

Benefits

Health & Wellness – health care coverage designed for the mind and body. Invest in Your Future – competitive pay, retirement planning, a continuing education program with a company‑matched student loan contribution, and financial wellness programs.

S&P Integral is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law.

Locations

Mexico City, Mexico (hybrid – 2 days onsite per week); The Netherlands (Virtual); Argentina (Virtual)