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
