{"id":1807264,"url":"https://alion.io/job/capgemini-sap-datasphere-sme","title":"SAP Datasphere SME","company":{"id":145,"name":"Capgemini","domain":"capgemini.com","url":"https://alion.io/company/capgemini","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"B","score":80,"open_postings":1850,"ghost_share":0.001,"stale_share":0.8,"repost_share":0.009,"time_to_fill_p50_days":28,"computed_at":"2026-10-29T05:49:05Z"}},"role":"Enterprise Apps","role_family":"Enterprise Apps","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Dublin, Ireland"],"countries":["IE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"Master Data Management","optional":false},{"name":"Salesforce Data Cloud","optional":false},{"name":"Apex","optional":true}],"status":"live","first_seen_at":"2026-09-03T10:36:10Z","employer_posted_date":"2026-09-03","last_verified_at":"2026-10-29T17:51:13Z","board_verified":true,"closed_at":null,"days_open":56,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":56},"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.\nYOUR ROLE\nAs 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.\nYou 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.\nKey Responsibilities of the Role\nDesign, develop, and maintain SAP Datasphere data models, semantic layers, business entities, and virtualised data products to support enterprise reporting and analytics requirements.\nDefine 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.\nEstablish and maintain data governance, data quality, metadata management, lineage, and business data definitions across the analytics ecosystem.\nDevelop and optimise data pipelines, transformations, and federated access models to deliver scalable, high-performance analytical solutions.\nCollaborate with business stakeholders, architects, and reporting teams to translate business requirements into reusable and governed enterprise data assets.\nSupport platform administration, performance tuning, release management, testing, and operational support activities within the SAP Datasphere environment.\nYOUR PROFILE\nStrong hands-on experience with SAP Datasphere, including data modelling, semantic modelling, data federation, business layer design, data integration, and governance capabilities.\nExperience working across the SAP analytics ecosystem, including SAP Analytics Cloud, SAP C4C, SAP data services, and enterprise reporting environments.\nStrong understanding of enterprise data architecture, dimensional modelling, data warehousing, master data management, data quality, metadata management, and data governance principles.\nExperience integrating SAP platforms with cloud-based data ecosystems including Salesforce Data Cloud, Azure Data Lake, Databricks, APIs, and enterprise integration frameworks.\nProven ability to work with business and technical stakeholders to define data requirements, establish analytics solutions, and deliver scalable data platforms within Agile delivery environments.\n WHAT YOU'LL LOVE ABOUT WORKING HERE?\nCraft your own career path through continuous learning and personal growth;\nOur commitment to maintain high ethical standards ensuring Diversity, Sustainability and Inclusion in our business practises;\nBe a part of our professional communities role framework which promotes professional growth, career development and enhances Sogeti’s capabilities across different domains.\nPart 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. 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