SAP Datasphere SME

Sogeti Ireland; Dublin; On-site; EUR 80,000 - 110,000; Full time

Job summary

Sogeti Ireland is seeking an SAP Datasphere SME to design, implement, and govern enterprise data solutions across marketing, sales, customer, and analytics. You will work with SAP Datasphere, SAP Analytics Cloud, Salesforce Data Cloud, Azure Data Lake, Databricks, and reporting platforms to deliver trusted, business-ready data across the organisation.

Collaborating with business stakeholders, data architects, and platform owners, you will develop scalable data models, optimise data flows, and

Qualifications

• Hands-on SAP Datasphere expertise including data modelling and governance.
• Experience across SAP analytics ecosystem and data services.
• Understanding of enterprise data architecture and data governance principles.

Responsibilities

• Design, develop, and maintain SAP Datasphere data models and semantic layers.
• Define and implement data integration between SAP Datasphere and source systems.
• Establish and maintain data governance, metadata, lineage, and data definitions.
• Develop and optimise data pipelines and federated access models.
• Collaborate with stakeholders to translate requirements into governed data assets.

Skills

Data modelling

Semantic modelling

Data federation

Data integration

Data governance

Metadata management

Data quality

Tools

SAP Datasphere

SAP Analytics Cloud

Salesforce Data Cloud

SAP C4C

Azure Data Lake

Databricks

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 ROLE

As 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 Role

• Design, 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 PROFILE

• Strong 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.