CoE - Data Analytics Engineer - 5 to 9 years

What you’ll do As a Data Engineer you are responsible for: Engage and deliver around Business Data cloud (BDC) as Data Engineer which is foundation of artificial intelligence and machine learning scenarios of SAP Engage in Data Preparation, Data Integration, Data Management and preparation tasks in BDC/Datasphere Understand business processes, select best approaches, evaluate their performance and assess business relevance to implement for Data mesh, data modelling and Data governance. Support in preparation of Data Science, AI, ML Embedded in S/4, Databricks and other solutions. Expand own skill sets to other and upcoming areas of AI, ML, Predictive Analytics of SAP Analytical, results-driven, and have a solution-oriented approach. Work as a team player yet can work independently. interpersonal and communication skills including verbal, written presentation, and listening. Must be open to travel. What you bring EDUCATION AND QUALIFICATION / SKILLS AND COMPETENCIES Required skills (must have): Experience in SAP data & analytics landscape expertise on SAP BW 7.x and BW/4HANA, S/4HANA Hana Data modeling / manipulation / Data ingestion, SQL‑based transformations and performance design Secure retrieval from Datasphere/HANA via Open SQL; ISQL Expertise, SQL‑based transformations and performance evaluation and design Data modeling and semantics - Dimensional and semantic modeling for analytic, Replication vs. federation trade‑offs; CDC, scheduling/monitoring SQL optimization, calculation view modeling patterns, pruning, caching strategies Experienced in building connections, virtual vs. replicated data, SQL/graphical views, replication/data flows Worked on CDS views, embedded analytics, integration patterns Open SQL schema consumption patterns for external compute/ML notebooks Preferred skills (good to have) Analytics and Visualization tools like SAP Analytics cloud, Business Objects. Scripting and automation - Python for data/ML workflows against HANA Cloud/Datasphere (hdbcli, hana-ml, JDBC/ODBC) Orchestration/monitoring patterns for data pipelines Python + hana-ml integration; optional AI Core for ML ops, chunking, embeddings, vectors EDUCATION AND QUALIFICATIONS / COMPTENCIES Graduate or master’s degree in computer or Electronics & Communication Engineering / Computer science / Information Technology systems/ Computer applications / IT Business Systems or equivalent. /Master/Bachler of Science in Comp Science/Technology Must have excellent communication and collaboration with team members, customers and senior level management team. Coordination support for important customer issues (investigating, providing workarounds) for complex and cross-component issues. Experience in communication with customers and managing expectations. Proactive in learning and highly self-motivated WORK EXPERIENCE 5 to 9 years of relevant work experience. At least 2 projects exposed as Data Warehouse, Data Analysis, modeler, Embedded ML in S/4 Experience in Client/ Customer interaction Experience in System Administration / Support ABAP/Basis Skillset is plus. #BusinessProcessT2 Bring out your best SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.