ETIC, SAP - Datasphere Consultant - Senior Associate

PricewaterhouseCoopers

Key Responsibilities:

• Design, develop, and operate data solutions on SAP Datasphere as part of the SAP Business Data Cloud, with a strong focus on data modeling, harmonization, governance concepts, and scalable data product design.

• Act as a bridge between business and IT: Collaborate closely with business stakeholders to understand functional requirements and translate them into robust, semantically enriched data models.

• Design and implement space- and layer-based architectures (Inbound, Transformation, Reporting) to enable flexible authorization concepts and data reuse.

• Develop and maintain complex SQL-based models and views optimized for performance, reusability, and analytical consumption.

• Build analytical models with strong business semantics to support reporting, analytics, and planning use cases.

• Enable and support data consumption in SAP Analytics Cloud and selected third-party tools, ensuring consistency and governance.

• Integrate data from SAP and non-SAP sources, following enterprise data standards.

• Ensure data quality, integrity, and consistency across all Datasphere objects and exposed data products.

• Contribute to data migration and modernization initiatives, supporting the transition from legacy DWH approaches toward a modern data fabric architecture.

Qualifications:

• Bachelor s or Master s degree in Computer Science, Information Technology, Engineering, Data Science, or a comparable field.

• At least 2 years of professional experience working with relevant data & analytics tools and technologies, ideally in an enterprise or consulting environment.

• Practical, hands-on experience with SAP Datasphere is required or strongly preferred, including data modeling, integration, and working with spaces and data products.

• Experience with SAP BW (BW/4HANA or BW 7.x) is a strong plus, especially regarding data modeling and the transfer of classical DWH concepts into the Datasphere context.

• Strong data modeling and SQL skills, with a focus on building semantically rich, reusable analytical models.

• Basic knowledge and first hands-on experience with SAP Analytics Cloud is expected.

• Basic understanding and first touchpoints with Databricks or comparable modern data platforms are beneficial.

• Solid understanding of data warehousing concepts, data integration patterns, and coding practices is helpful.

• Excellent English communication skills (written and spoken) are required; German language skills are a plus.

• Strong analytical mindset, problem-solving skills, and the ability to translate business requirements into scalable technical solutions.

• Excellent communication and collaboration skills, with the ability to work effectively across business and IT stakeholders.