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SAP Datasphere Lead

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. 

Job Description

About the Service Line:

Capgemini Global Insights & Data business line is a market leader in Data Engineering, Cloud Data Platforms, Data Science, and AI and Advanced Analytics across all sectors including financial services, public sector, consumer products, telecommunication & energy resources. Our offerings include end-2-end data integration to cloud platforms, complete suite of data engineering capabilities and a category of sector-based advanced analytics and AI driven solutions.

 

This is a unique opportunity within the Insights & Data (I&D) Global Business Line (GBL) to help grow the data, AI and Data Science engagements across all sectors in Australia and New Zealand. You will help shape and deliver complex projects and programs of work for our clients.  You will understand our client’s need to bring maximum value, impact, and innovation to the market as you oversee the delivery of client engagements for data and AI initiatives.
 
Let’s talk about the roles and responsibilities:

Lead the design, delivery, and governance of SAP Datasphere solutions, including modelling, integration, and data pipelines, while providing oversight of SAP BDC processes within major SAP transformation programs.

  • Lead Architect for SAP Business Data Cloud - Datasphere solutions.
  • Leading Datasphere solution design and delivery across the implementation project.
  • Build relational, analytical, and semantic models; develop ER models.
  • Design and manage ETL/ELT pipelines, ODP/SAP Extractor integrations, and CDS View-based ingestion.
  • Integrate Datasphere with SAC and support BW/4HANA or BW Bridge landscapes.
  • Define governance standards, security, lineage, cataloging, and operating models.
  • Conduct workshops, solution demos, design reviews, and prepare design/test documentation.
  • Lead offshore teams and support multi-country delivery.
  • Provide expertise on SAP BDC processes for data load or migration scenarios.
  • Deliver transition-to-support plans and ensure successful operational handover.

Experience and Qualifications:

 

  • Experience in SAP Data & Analytics (BW 7.5, BW on HANA, BW/4HANA, BeX, AFO).
  • Hands-on SAP Datasphere experience.
  • Expertise in: Datasphere modelling (Relational, Analytical, Semantic), Entity Relationship modelling, SAP Extractors, ODP, CDS Views, BW/4HANA or BW Bridge (desirable)
  • Experience in large SAP programs (S/4HANA, MDG, Group Reporting, SAC).
  • Strong understanding of Azure/AWS/GCP and modern data engineering practices.

What You’ll Love About Working Here:

  • Exposure to transformational programs in AI & Data portfolio.
  • Career growth through learning platforms, certifications, and global mobility.
  • Inclusive culture backed by our “Inclusive Future for All” commitment.
  • Competitive total rewards and recognition programs.

Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of €22.1 billion.
Make it real | www.capgemini.com

Ref. code:  439721
Posted on:  19 Mar 2026
Experience Level:  Experienced Professionals
Contract Type:  Permanent
Location: 

Melbourne, AU

Brand:  Capgemini
Professional Community:  Data & AI

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