PpJoin to apply for the bKnowledge Graph Data Infrastructure Engineer /b role at bLHH /b /p p3 days ago Be among the first 25 applicants /p pGet AI-powered advice on this job and more exclusive features. /p h3Key Responsibilities /h3 ul liDesign and implement the Strategy Knowledge Graph and its underlying schema. /li liBuild mechanisms to track how entities and relationships change over time. /li liSet up a federated graph architecture that separates public knowledge from private client data. /li liDefine node and edge structures with essential metadata and provenance. /li liOptimize graph queries and retrieval patterns for complex reasoning tasks. /li liManage and integrate multiple storage systems (graph, vector, metadata, documents, blobs). /li liMaintain consistency across storage layers through event-driven synchronization. /li liBuild the hybrid retrieval API that unifies graph and vector results for the reasoning agents. /li liImplement caching and partitioning strategies to ensure performance and multi-tenant scalability. /li liBuild ETL pipelines to ingest processed documents and transform them into graph entities and relationships. /li liImplement data normalization, entity resolution, and incremental updates to keep the graph clean and scalable. /li liEnsure data quality and temporal consistency across the knowledge base. /li liMaintain full provenance so every fact is traceable to its source. /li liDevelop APIs (REST/GraphQL) for querying, updating, and interacting with the Knowledge Graph. /li liOptimize database performance through indexing, caching, and query tuning. /li liImplement access control, encryption, audit logging, and compliance mechanisms across the data layer. /li /ul h3Profilo /h3 h3Experience Background /h3 ul li3–6+ years of professional experience as a Data Engineer, Backend Engineer, or Knowledge Graph Engineer, working on production-grade data systems. /li liStrong hands-on experience with graph databases (e.g. Neo4j, TigerGraph, Amazon Neptune, or equivalent) including schema design, query optimization, and performance tuning. /li liSolid experience designing and operating distributed data infrastructure in cloud environments (AWS, GCP, or Azure). /li liProven ability to design data models and schemas for complex domains, including entities, relationships, and metadata. /li liExperience implementing ETL / ELT pipelines for structured and unstructured data, including incremental updates and backfills. /li liStrong understanding of data consistency, versioning, and provenance in large-scale data systems. /li liExperience integrating multiple storage systems (e.g., graph DB + relational DB + document store + object storage) into a coherent data platform. /li liPractical experience building APIs for data access (REST and/or GraphQL) and integrating them into backend services. /li liFamiliarity with event-driven architectures (e.g., message queues, streaming, async pipelines) for synchronizing distributed systems. /li liStrong skills in Python, Java, or Scala for backend and data engineering workloads. /li liExperience with query optimization, indexing strategies, caching, and partitioning for high-performance data access. /li liUnderstanding of security, access control, and data isolation in multi-tenant SaaS platforms. /li liStrong grasp of software engineering best practices: version control, testing, CI/CD, monitoring, and documentation. /li /ul p«I candidati, nel rispetto del D.lgs. 198/2006, D.lgs. 215/2003 e D.lgs. 216/2003, sono invitati a leggere l’informativa sulla privacy consultabile sotto il form di richiesta dati della pagina di candidatura (Regolamento UE n. 2016/679). L’offerta è rivolta a candidati di entrambi i sessi, nel rispetto del D.lgs. 198/2006 e della normativa vigente in materia di pari opportunità. L’azienda promuove un ambiente di lavoro inclusivo e garantisce pari opportunità a tutte le persone, indipendentemente da genere, età, origine, orientamento sessuale o disabilità.» /p pSeniority level: Mid‑Senior level /p pEmployment type: Full-time /p pJob function: Information Technology (Human Resources Services) /p pReferrals increase your chances of interviewing at LHH by 2x /p /p #J-18808-Ljbffr