Junior SAP Datasphere Engineer — Data & Cloud Analytics

Capgemini

Vila Nova de Gaia

Hybrid

EUR 35,000 - 52,000

Full time

24 hours ago
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Job summary

Capgemini Portugal is launching a new Tech Hub in Porto, seeking a Data & Analytics Engineer to design and operate SAP Datasphere-based solutions. You will collaborate with data engineers, consultants and stakeholders to deliver scalable data models and analytics capabilities.

You will work within a hybrid environment that supports flexible office and remote work, and you will contribute to governance, security, and operational excellence across data projects.

Qualifications

  • Hands-on experience with SAP Business Data Cloud (BDC) and SAP Datasphere.
  • Strong knowledge of SAP and non-SAP data integration, pipelines and interfaces.
  • Experience managing users, roles and access controls.
  • Proven ability to monitor, troubleshoot and maintain systems.

Responsibilities

  • Support design, implementation and operation of data analytics solutions on SAP Datasphere.
  • Develop SAP Datasphere data models, spaces, views and analytical models.
  • Connect SAP S/4HANA, SAP BW/4HANA, non-SAP systems and cloud data sources.
  • Support data pipelines: ingestion, transformation, harmonization and provisioning.
  • Contribute to migration from SAP BW/BW4HANA to SAP Datasphere under guidance.
  • Translate business requirements into scalable data and analytics solutions.
  • Document governance, security and access-control concepts.
  • Prepare documentation and knowledge-transfer materials for ongoing ownership.

Skills

SAP Datasphere
BDC (SAP Business Data Cloud)
Data integration
User access control
System monitoring
Communication
Cross-functional collaboration
Documentation

Job description

Capgemini Portugal is launching a new Tech Hub in Porto, seeking a Data & Analytics Engineer to design and operate SAP Datasphere-based solutions. You will collaborate with data engineers, consultants and stakeholders to deliver scalable data models and analytics capabilities.

You will work within a hybrid environment that supports flexible office and remote work, and you will contribute to governance, security, and operational excellence across data projects.

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