SAP COE Datasphere Developer

The SAP CoE Datasphere Developer is responsible for designing, developing, and optimizing enterprise data models and integrations within SAP Datasphere to deliver reliable, high‑quality analytics capabilities across the organization. The role ensures stable operations through AMS support, strong governance, and close collaboration with business and analytics teams.

Goal of function:

The SAP Datasphere Developer designs, develops, and optimizes enterprise‑grade data models, data flows, and integrations within SAP Datasphere to support global reporting, analytics, and data governance needs. The role ensures reliable data operations, high‑quality modelling standards, and continuous improvement of the Datasphere landscape within the SAP Center of Excellence.

• Main tasks:
  
  
  

Design, build, and enhance Datasphere data models including analytical datasets, semantic views, fact/dimension structures, and star‑schema‑based architectures. Develop and maintain data integrations using Data Flows, Replication Flows, SDI/SDA, and connections to SAP S/4HANA, ECC, BW/4HANA, HANA Cloud, and non‑SAP systems. Monitor, troubleshoot, and optimize Datasphere environments, addressing load failures, connection issues, and performance bottlenecks. Perform incident, problem, and change management, including root‑cause analysis, solution delivery, and SLA adherence. Ensure data governance, metadata quality, lineage tracking, and access control (spaces, roles, privileges). Collaborate with business users, functional teams, and analytics groups (e.g., SAC teams) to translate requirements and deliver SAC‑ready models.

• Secondary Tasks:
  
  
  

Tasks regularly performed in support of primary responsibilities:

• Support documentation creation and updates, including technical specs, data lineage diagrams, and deployment notes.
• Assist with user training, knowledge transfer, and technical guidance for junior team members.
• Participate in continuous improvement initiatives within the SAP CoE.
• Miscellaneous tasks:
• Contribute to special data transformation and migration projects.
• Evaluate new SAP Datasphere features, SAP BTP services, and best practices for adoption.
  
  
  

Qualifications, Experience

• Required training and education:
• Bachelor’s degree in Computer Science, IT, Data Engineering, or related field.
• SAP certifications (Datasphere, HANA, BTP) are an advantage
• Required professional experience (in years):
• 5–8 years of hands‑on experience in SAP Datasphere data modelling, integration, and SQL/SQL Script.
• Deep knowledge of SAP data structures (S/4HANA, ECC, BW) and integration methods (SDI/SDA, Data Flows, Replication Flows).
• Experience in AMS/support processes including incident, problem, and change management.
• Important personal qualities:
• Strong analytical thinking and troubleshooting skills.
• Effective communicator with business and technical stakeholders.
• Attention to detail and commitment to data quality.
• Other specialized knowledge:
• Technical Knowledge
• SAP Datasphere modelling (semantic layer, fact/dimension structures).
• SAP HANA modelling and SQL Script.
• Data governance, lineage, metadata management, star‑schema modelling.
• SAP BTP concepts and integration services.
• SAC integration fundamentals.
• Languages
• English (required)
• Additional languages a plus
• IT Skills
• Strong understanding of cloud data architecture and ETL/ELT processes.
• Familiarity with DevOps, versioning, and transport processes in SAP BTP/Datasphere.
• Product Knowledge
• SAP ECC/S4 core modules (Finance, Controlling, Procurement) helpful for reporting context
• Special personal requirements:
• Willingness to collaborate across global teams and time zones.
• Occasional travel may be required for project activities.

---