About Cirql One
We believe the real value of modern enterprises lies in their data. Most large organizations already have the data they need. What they lack is a way to work with it at scale. Over time, meaning gets buried in legacy systems, configurations, customization, and undocumented logic. The data still runs the business, but it can't easily be trusted, reused, or reasoned over consistently by modern software and AI.
At Cirql One, we've spent more than 30 years working inside these environments. We know why AI systems struggle to interpret enterprise data correctly, that many existing semantic layers stop at technical abstraction, and why business meaning must be made explicit to scale trust, reuse, and automate.
Tasks
- 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