AI Data engineer

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

About Orus

Orus is the AI platform for enterprise custom integrations. Connect SAP, Oracle, NetSuite, or any other ERP to any third-party software in hours, not months. Our AI agents build and host reliable integrations at a fraction of the time and cost of classic system integrators.

We are a product company, not a consultancy. Orus does not offer consulting roles.

We drive outcomes through the platform, not through people.

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

In person only EU or US. No visa sponsorship or remote.

If this sounds like you, email [email protected]

No third party may recruit, solicit candidates, publish job opportunities, use Orus's name or branding, or represent that they are acting on behalf of Orus without prior written authorization. Any such activity without explicit written consent is strictly prohibited.