Overview

Data Onboarding & Platform Business Enablement, Enterprise Knowledge Graph

Responsibilities

• Immerse yourself in the platform during a structured onboarding period: learn the data architecture, ontology standards, ingestion patterns, and platform capabilities hands-on alongside the core engineering team.
• You will onboard new datasets that are relevant for the Customer Value Group to grow the EKG into an actionable “Engagement Graph” for CVG.
• Own the end-to-end onboarding of new data sources into the EKG — from requirements gathering and data modeling to pipeline implementation, validation, and production rollout.
• Design and build scalable, automated data ingestion and transformation pipelines in Python, running on Kubernetes/Kyma, that reliably integrate diverse SAP data sources into the knowledge graph.
• Orchestrate complex, multi-step data workflows across the platform — coordinating dependencies, monitoring pipeline health, and ensuring data quality and consistency at scale.
• Act as a technical consultant to internal SAP teams seeking to contribute their data to the EKG: guide stakeholders through onboarding processes, translate business data requirements into semantic models, and build repeatable patterns that others can follow.
• Develop reusable frameworks, tooling, and playbooks that lower the barrier for future data onboarding — laying the foundation for a scalable, self-service onboarding capability.
• Build up a consulting business unit around EKG data onboarding and customer specific knowledge graphs: define service models, engagement patterns, delivery standards, and grow the practice.

Qualifications

• 5+ years of professional experience in software engineering or data engineering, with a strong focus on data pipelines, or data platform integration.
• Previous consulting expertise with completed projects
• Strong Python programming skills and hands-on experience building production-grade ETL/ELT pipelines and workflow.
• Interest in and aptitude for knowledge graph or semantic technologies (RDF, OWL, SPARQL) — prior experience is a plus but not required.
• Modeling skills with ontologies or UML object models
• A consultant mindset: you are comfortable engaging stakeholders, scoping requirements, structuring solutions, and communicating technical concepts to non-technical audiences.
• Excellent English communication skills — written and spoken — with the ability to present, document, and persuade across organizational boundaries; additional language skills are a plus.
• Ability to think in repeatable patterns and frameworks: you don't just solve the problem at hand; you build something others can use.
• Familiarity with SAP BTP or the broader SAP technology ecosystem is an advantage.
• Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, or a related field.