SAP Business Data Cloud Specialist (One-Year Fixed Term contract)

We help the world run better. At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.What you’ll build:Design and deliver governed data products, pipelines, semantic models, and analytics assets using SAP Business Data Cloud and SAP Datasphere.Translate business data and analytics requirements into scalable, governed data solutions.Integrate data from SAP systems (S/4HANA, BW, HANA) into unified enterprise data products, following SAP architecture principles and clean-core standards.Build dashboards, reports, and Insight Apps using SAP Analytics Cloud, connecting to semantic models and working with stakeholders to create trusted analytics solutions.Develop and optimize pipelines for analytical workloads (including OLAP) to support reporting, analytics, and AI.Maintain data governance (lineage, metadata, data quality) for production readiness, collaborating with AI architects and developers to align data for AI delivery.What you bringExperience:3–5 years in data engineering, analytics engineering, enterprise BI development, or enterprise data platform implementation.Proven track record delivering data solutions for production analytics environments.SAP Data Platforms:Hands‑on experience with SAP Datasphere or SAP BW.Exposure to SAP Business Data Cloud and SAP Analytics Cloud.Data Engineering & Analytics:Experience building data pipelines, semantic models, datasets, and governed data products.Strong SQL skills and analytical workload design (OLAP).Programming & Data Tools:Familiarity with scripting tools for data engineering; exposure to Python data libraries (e.g., pandas) is a plus.Data Governance:Understanding of data lineage, metadata management, and data quality practices.Where you belongGoverned data products built in SAP Datasphere are actively used by analytics and AI teams.SAP Analytics Cloud dashboards and reports are trusted and widely reused across teams.Data pipelines reliably support enterprise analytics and AI workloads.Semantic models and data products are reused rather than rebuilt on new projects.Business stakeholders quickly move from questions to trusted insights.AI Usage in the Recruitment ProcessFor information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, etc.), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements. SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. Successful candidates might be required to undergo a background verification with an external vendor.#J-18808-Ljbffr