Senior SAP Datasphere / SAC Technical Consultant

IBA Group

Wrocław

On-site

PLN 240,000 - 360,000

Full time

29 hours ago
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Job summary

IBA Group is seeking a Senior SAP Datasphere / SAC Technical Consultant to join a long-term data transformation project in a senior capacity. You will lead the design of scalable data architectures, integrate S/4HANA data sources, and build advanced analytics using SAP Analytics Cloud and Datasphere.

The role emphasizes hands-on implementation, architecture standards, and collaboration with data teams to deliver reliable analytics across the enterprise.

Qualifications

  • Senior-level experience in SAP data architecture, data integration, and analytics solutions.
  • Strong understanding of SAP Business Data Cloud architecture and capabilities.
  • Hands-on experience with SAP Datasphere for data integration, modeling, and semantic layer design.
  • Advanced expertise in SAP Analytics Cloud (SAC) including stories, models, calculations, hierarchies, and authorizations.

Responsibilities

  • Design scalable data architectures using SAP Business Data Cloud and SAP Datasphere.
  • Develop and optimize data integration processes, models, and semantic layers in SAP Datasphere.
  • Integrate SAP S/4HANA data sources into SAP Datasphere with reliable data flows.
  • Design and develop analytics solutions using SAC, including SAC stories and models.
  • Build reusable data models and Data Products for enterprise analytics.
  • Implement replication flows and integration patterns with Data Lake environments.
  • Define scalable architecture standards and reusable data integration patterns.
  • Collaborate with technical teams and stakeholders to deliver analytics solutions.

Skills

SAP data architecture
Data integration
Analytics solutions
S/4HANA integration
SAP Analytics Cloud (SAC)
Cross-functional collaboration

Tools

SAP Datasphere
SAP Analytics Cloud (SAC)

Job description

Senior SAP Datasphere / SAC Technical Consultant

sap

PL

LT

BG

sap

Senior

What We Expect of You

About the Role:

We are looking for an experienced Senior SAP Datasphere / SAC Technical Consultant to join a long-term enterprise data transformation project.

The ideal candidate will have strong expertise in SAP Business Data Cloud, SAP Datasphere, and SAP Analytics Cloud (SAC), with hands-on experience designing scalable data architectures, integrating SAP S/4HANA data sources, and developing advanced analytics solutions.

Key Responsibilities:

  • Design and implement scalable data architectures using SAP Business Data Cloud and SAP Datasphere.
  • Develop and optimize data integration processes, data models, and semantic layers within SAP Datasphere.
  • Integrate SAP S/4HANA data sources into SAP Datasphere, ensuring efficient and reliable data flows.
  • Design and develop advanced reporting and analytics solutions using SAP Analytics Cloud (SAC).
  • Build SAC stories, analytical models, calculations, hierarchies, and authorization structures.
  • Develop reusable data models and Data Products to support enterprise-wide analytics.
  • Implement and optimize replication flows and integration patterns with enterprise Data Lake environments.
  • Define scalable architecture standards and reusable data integration patterns.
  • Collaborate with technical teams, data architects, and business stakeholders to deliver reliable and efficient analytics solutions.

Requirements:

  • Senior-level experience in SAP data architecture, data integration, and analytics solutions.
  • Strong understanding of SAP Business Data Cloud architecture and capabilities.
  • Proven hands-on experience with SAP Datasphere, including data integration, data modeling, and semantic layer design.
  • Practical experience integrating SAP S/4HANA data sources with SAP Datasphere.
  • Advanced expertise in SAP Analytics Cloud (SAC), including stories, analytical models, calculations, hierarchies, and authorizations.
  • Experience designing reusable data models and Data Products.
  • Solid understanding of replication flows and integration with enterprise Data Lake environments.
  • Ability to define scalable technical architectures and reusable data integration patterns.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Ability to work independent and collaborate effectively with cross-functional teams.

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