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# SAP Datasphere Consultant

- **Company:** Gapstars
- **Location:** ALMERE, Netherlands
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Data Architecture, Information Engineering, Data Warehousing, SAP (Applications), SAP NetWeaver Business Warehouse, SQL Databases, Data Lineage, SAP S/4HANA, Integration Frameworks, SAP Analytics Cloud
- **Published:** October 11, 2026
- **Apply:** https://gapstars.net/tech/career-listings/job-1690/

## About the Role

* 5 years of hands-on experience in SAP data warehousing and analytics environments.
 * SAP Platform Knowledge: Strong background in the SAP ecosystem, specifically SAP Datasphere, SAP BW (especially BW Bridge), and SAP S/4HANA.
 * Proven experience with Graphical and SQL Views, Remote Tables, and Local Tables.
 * Deep understanding of Space Management, Task Chain scheduling, and Data Access Controls.
 * Familiarity with SAP Analytics Cloud (SAC) consumption.
 * Soft Skills: Self-starter capable of taking initiative, proposing practical solutions, and collaborating effectively across teams.

Nice-to-Have Skills:

 * Industry Domain: Experience with the SAP Retail module.
 * Data Engineering Skills: Proficiency in SQL and Python for data transformation tasks.
 * Third-Party Integrations: Familiarity with integrating third-party solutions (e.g., Blue Yonder).

## Description

As a SAP Datasphere Consultant, you will join an experienced team of specialists to support testing integrated data models, building front-end solutions, and managing data flows. You will play a key operational role in modeling, pipeline optimization, and stakeholder alignment., SAP Datasphere Consultant, * Design and develop Analytical Models, Fact Models, and Dimension Views for reporting and analytical consumption.

 * Build and maintain semantic models, including measures, calculated measures, associations, and hierarchies.
 * Test integrated data models and contribute to building effective front-end reporting solutions.
 * Expose governed datasets and analytical models for consumption by SAP Analytics Cloud (SAC) and downstream platforms.

 2. Data Integration & Pipeline Management
 * Design, operate, and maintain Replication Flows, Data Flows, Transformation Flows, and Task Chains.
 * Take end-to-end ownership of SAP data integrations and pipelines from source extraction and replication through to downstream consumption.
 * Work with extraction-enabled CDS Views and SAP SLT replication for source integration.

 3. Governance, Security & Administration
 * Configure and manage Spaces, connections, and Data Access Controls (DAC).
 * Implement data access controls, authorization concepts, data lineage, security, and governance principles.

 4. Operations, Maintenance & Optimization
 * Optimize Datasphere models and pipelines for performance, scalability, persistence, and maintainability.
 * Support production operations, including active monitoring, incident analysis, troubleshooting, and root-cause analysis.

 5. Team & Stakeholder Collaboration
 * Support senior team specialists within the team on complex data architecture tasks.
 * Reactively engage with business stakeholders to gather and clarify requirements.
 * Take initiative to propose tactical solutions and align smoothly with team members.