Responsibilities
- Modernize Data Access: Build clean, reliable extraction and integration logic that sits close to the data layer, prioritizing performance and stability.
- Reverse Engineer Meaning: Analyze complex, undocumented legacy logic to understand how business meaning is constructed inside SAP.
- Build Product, Not Projects: Unlike traditional consulting, you will build reusable core components of our platform that scale across different SAP environments.
- Collaborate with Cloud Architects: Work alongside the Platform and AI teams to ensure SAP data is exposed in a way that is consumable by the semantic layer.
Requirements
- 8+ years of deep ABAP experience
- Deep understanding of SAP data structures, tables, and customizing in ECC and S/4HANA (DDIC, ABAP Dictionary, etc.)
- Experience with data-intensive ABAP development (extractors, data migration, interfaces, etc.)
- Knowledge of SAP integration technologies (IDocs, BAPI, RFC, SOAP, oData, etc.)
- Optimizing for scalable performance across applications and databases
- Familiarity with modern ABAP development practices (Git-based ABAP, CI/CD for ABAP, automated testing, etc.)
- Ability to communicate and collaborate effectively with technical and non-technical teams
- Bachelor's degree in Computer Science, Engineering, or related field
Benefits
- Early-stage impact: Opportunity to apply your SAP skills to groundbreaking AI and semantic challenges
- Hard problems worth solving: SAP semantics, AI-ready data, and enterprise-scale deployment — this is genuinely challenging and exciting work
- Strong team: Work alongside experienced founders and engineers who've built data platforms before
- Growth trajectory: As the platform and company scale, so does the scope of this role
