Principal Knowledge Graph Engineer
Role details
Job location
Tech stack
Job description
compliance, data integrity and reasoning-readinessData Quality, Observability & LineageImplement robust data quality frameworks (validation, profiling, anomaly detection)Build observability into pipelines (lineage tracking, logging, freshness monitoring, schema drift detection)Ensure alignment with governance, security and industry standardsAI Enablement & Data ServingBuild high-quality datasets for retrieval pipelines (RAG), embeddings and conversational agentsCreate data foundations supporting decision engines, reinforcement learning and value measurementPartner with AI engineers to operationalise pipelines for LLM workflows and agentic systemsStandards, Documentation & ReusabilityProduce clear documentation for data models, schemas, ontologies and lineageCodify semantic ETL patterns and reusable modelling templatesContribute to internal accelerators, engineering standards and playbooksExperience & Technical RequirementsWe are looking for strong data engineering fundamentals combined, deep focus on ontologies, knowledge graphs and AI systemsEarly-stage growth environment backed by significant investment and strong market tractionHigh autonomy, low bureaucracy and meaningful system-building responsibilityOpportunity to shape internal standards, accelerators and AI-native productsClear commitment to responsible AI and widening access to advanced technologiesFlexible working model with a modern Central London presenceComprehensive health, wellbeing and pension benefitsThis is an opportunity to help define how semantic data engineering enables next-generation AI systems, within a firm where clarity, technical depth and real-world outcomes matter.If you are an experienced Data Engineer ready to work at the intersection of ontologies, knowledge graphs and AI, we would welcome a confidential conversation., Senior LLM, RAG & Agentic AI Consulting Engineer - Lead / Senior FDE Remote First, some trips to client offices and HQ Lead the design and delivery of complex, AI-native client engagements, spanning agentic systems, retrieval architectures and semantic layers. This is a..., Senior / Principal Mechanical Engineer - Building Services London (Hybrid Working)Are you a Senior or Principal Mechanical Engineer looking to step into a role where you can lead projects, influence design, and be part of a genuinely supportive team?An established..., An established Fire Engineering Consultancy is looking to strengthen its London based team with the appointment of a Senior or Principal Fire Engineer.The business has built a strong reputation for delivering high quality fire engineering solutions across residential,..., Principal Temporary Works EngineerContract: Long-termLocation: Remote with required site/office visitsRate: CompetitiveScope: Outside IR35OverviewOur client is a leading UK infrastructure delivery specialist, supporting major national programmes across transportation,..., Principal AI EngineerUp to £110,000 + BonusHybrid | London We're partnered with a global leader in loyalty and customer engagement, looking for a Principal AI Engineer to join their London team. This role will include delivering customer centric solutions and scale..., About the Role:We are working with a well-established, multidisciplinary engineering group to find a Principal Civil Engineer for their UK power and renewables team. This is a key hire for a business unit that is seeing sustained growth across low-carbon and conventional...
Requirements
with demonstrable semantic and ontology experience:5-8 years' experience in data engineering, data platform development or data-intensive systemsStrong SQL and Python for scalable data transformations and servicesExperience with at least one major cloud platform (AWS, Azure or GCP)Hands-on experience with semantic or ontology-driven data models, including:Graph databases (e.G. Neptune, Neo4j, Blazegraph, Stardog, TigerGraph, Foundry, Timbr)RDF/OWL modelling, SHACL validation or ontology toolingSemantic ETL and ontology mapping pipelinesKnowledge graph construction, enrichment and query patternsExperience operationalising pipelines for AI systems, LLM workflows or retrieval ecosystemsFamiliarity with modern data tooling and platform engineering practicesComfortable working in iterative consulting delivery environments with evolving requirementsBehavioural AttributesHigh agency - independently drives complex workstreams end-to-endStructured thinker - brings clarity and rigour to ambiguous, messy data domainsCollaborative - works effectively with ontology architects, AI engineers and consultantsQuality-driven - prioritises correctness, observability, maintainability and semantic integrityClear communicator - able to explain semantic concepts and data reasoning to non-technical stakeholdersLow ego, high ownership - focused on outcomes and value creationWhat Success Looks LikeYou deliver clean, trustworthy, semantically aligned data ready for ontologies and AI layersOntology architects rely on your pipelines for entity consistency and semantic accuracyAI engineers build faster because your data structures and retrieval layers are reliable and predictableYour semantic ETL patterns and modelling templates are reused across engagementsClients trust your clarity, rigour and dependability in data work underpinning high-value AI systemsYour work becomes foundational to the firm's semantic and agentic engineering capabilityWhy JoinSenior-heavy, engineering-led culture with
Benefits & conditions
Description & OverviewJob Title: Advisory Engineer Agentic AILocation: London, UKRole: Hybrid (3 days to office and 2 days remote)Position: Full-time (Permanent Role)We are building a next-generation AI innovation hub focused on developing advanced agent systems that...