AI Data engineer

Build the data layer and metadata architecture that turns ERP deployments and consulting learnings into structured knowledge for Orus.

What you'll own

Design and build the data layer that maps relationships across ERP projects: configurations, outcomes, domain patterns
Own our metadata architecture: how data is labelled, linked, versioned, and made queryable
Build pipelines that ingest ERP 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
You're a systems-level thinker: architecture first, not just query by query
High standards for data quality and normalisation

Nice to have

Familiarity with ERP data models or data structures
Experience with embedding pipelines, vector stores, or LLM data infrastructure

Apply by email

If this sounds like you, email michele@useorus.ai