SAP Datasphere SME

Capgemini; Dublin; On-site; EUR 90,000 - 130,000; Full time

Job summary

Sogeti, part of the Capgemini Group, is seeking an SAP Datasphere SME to design, implement, and govern enterprise data solutions across the organisation's marketing, sales, customer and analytics landscapes.

You will work with SAP Datasphere, SAP Analytics Cloud, Salesforce Data Cloud, Azure Data Lake, Databricks and reporting platforms to develop scalable models, optimise data flows, and deliver trusted data for strategic decision-making.

Qualifications

• Strong hands-on experience with SAP Datasphere, including data modelling, semantic modelling, and data governance.
• Experience across SAP analytics ecosystem including SAP Analytics Cloud, SAP C4C, and enterprise reporting environments.
• Solid understanding of enterprise data architecture, dimensional modelling, and data governance.
• Experience integrating SAP platforms with cloud-based data ecosystems (Salesforce Data Cloud, Azure Data Lake, Databricks).

Responsibilities

• Design, develop, and maintain SAP Datasphere data models and semantic layers to support analytics requirements.
• Define and implement data integration between SAP Datasphere and source systems (C4C, Salesforce data cloud, Analytics Cloud, Azure Data Lake, Databricks).
• Establish data governance, metadata management, lineage, and data definitions across analytics landscape.
• Develop and optimise data pipelines and federated access models for scalable analytical solutions.
• Collaborate with stakeholders to translate requirements into governed enterprise data assets.

Job description

At Sogeti, we believe the best is inside every one of us. Whether you are early in your career or at the top of your game, we’ll encourage you to fulfill your potential to be better. Through our shared passion for technology, our entrepreneurial culture , and our focus on continuous learning, we’ll provide everything you need to do your best work and become the best you can be.YOUR ROLEAs an SAP Datasphere SME, you will be responsible for designing, implementing, and governing enterprise data solutions that enable trusted, business-ready data across the organisation's marketing, sales, customer, and analytics landscape. Working within a complex ecosystem comprising SAP Datasphere, SAP Analytics Cloud, Salesforce Data Cloud, SAP C4C, Azure Data Lake, Databricks, and enterprise reporting platforms, you will ensure that data is integrated, modelled, governed, and made available to support strategic business decision-making.You will work closely with business stakeholders, data architects, integration teams, analytics specialists, and platform owners to develop scalable data models, optimise data flows, and establish best practices for enterprise data management. This role provides the opportunity to shape the organisation's data architecture while enabling advanced analytics, customer intelligence, reporting, and data-driven business transformation initiatives.Key Responsibilities of the RoleDesign, develop, and maintain SAP Datasphere data models, semantic layers, business entities, and virtualised data products to support enterprise reporting and analytics requirements.Define and implement data integration solutions between SAP Datasphere and source systems including SAP C4C, Salesforce Data Cloud, SAP Analytics Cloud, Azure Data Lake, Databricks, and other enterprise applications.Establish and maintain data governance, data quality, metadata management, lineage, and business data definitions across the analytics ecosystem.Develop and optimise data pipelines, transformations, and federated access models to deliver scalable, high-performance analytical solutions.Collaborate with business stakeholders, architects, and reporting teams to translate business requirements into reusable and governed enterprise data assets.Support platform administration, performance tuning, release management, testing, and operational support activities within the SAP Datasphere environment.YOUR PROFILEStrong hands-on experience with SAP Datasphere, including data modelling, semantic modelling, data federation, business layer design, data integration, and governance capabilities.Experience working across the SAP analytics ecosystem, including SAP Analytics Cloud, SAP C4C, SAP data services, and enterprise reporting environments.Strong understanding of enterprise data architecture, dimensional modelling, data warehousing, master data management, data quality, metadata management, and data governance principles.Experience integrating SAP platforms with cloud-based data ecosystems including Salesforce Data Cloud, Azure Data Lake, Databricks, APIs, and enterprise integration frameworks.Proven ability to work with business and technical stakeholders to define data requirements, establish analytics solutions, and deliver scalable data platforms within Agile delivery environments.WHAT YOU'LL LOVE ABOUT WORKING HERE?Craft your own career path through continuous learning and personal growth;Our commitment to maintain high ethical standards ensuring Diversity, Sustainability and Inclusion in our business practises;Be a part of our professional communities role framework which promotes professional growth, career development and enhances Sogeti’s capabilities across different domains.Part of the Capgemini Group, Sogeti makes business value through technology for organizations that need to implement innovation at speed and want a local partner with global scale. With a hands-on culture and close proximity to its clients, Sogeti implements solutions that will help organizations work faster, better, and smarter. By combining its agility and speed of implementation through a DevOps approach, Sogeti delivers innovative solutions in quality engineering, cloud and application development, all driven by AI, data and automation.