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
