What you'll own Design and build the data layer that maps relationships across SAP projects — configurations, outcomes, domain patterns Own our metadata architecture — how data is labelled, linked, versioned, and made queryable Build pipelines that ingest SAP telemetry and consulting learnings and output clean, structured knowledge Work with the AI team to feed the right signals into the models Improve the system with every customer and every deployment What you need Strong data engineering background — pipelines, schema design, data modelling Experience with knowledge graphs, graph databases, or relational modelling of complex domain data Comfortable with large, messy, semi-structured data from enterprise systems Systems‑level thinker — architecture first, not just query by query High standards for data quality Nice to have Familiarity with SAP data models or ERP data structures Experience with embedding pipelines, vector stores, or LLM data infrastructure #J-18808-Ljbffr
