Senior SAP Data Engineer

Job Description: We are seeking a seasoned SAP Data Analytics Lead / Senior Consultant to drive the design, development, and delivery of advanced analytics solutions leveraging SAP Datasphere, SAP BW, and SAP Analytics Cloud. The ideal candidate will serve as a technical and functional expert, providing architectural guidance, leading project teams, and collaborating closely with business stakeholders to enable enterprise-wide data-driven insights. Key Responsibilities: Solution Development & Implementation: · Lead the end-to-end development of data models, data flows, and analytics solutions primarily in SAP Datasphere and SAP Analytics Cloud (SAC). · Build and maintain data pipelines and semantic models integrating SAP and non-SAP sources. · Implement and enhance SAC stories, dashboards, planning models, and analytical applications based on business requirements. · Work closely with the Architecture and Development Manager to align implementations with defined architecture and governance standards. Data Integration & Modeling: · Develop and optimize data integration workflows between SAP Datasphere, SAP BW, and S/4HANA systems. · Ensure data consistency, accuracy, and performance through efficient ETL and transformation logic. · Support data harmonization, cleansing, and preparation for analytics consumption. Performance Optimization & Quality: · Perform system performance tuning and troubleshoot issues in Datasphere and SAC environments. · Implement best practices for data modeling, caching, and query performance optimization. · Conduct unit testing, validation, and documentation of developed solutions. Collaboration & Support: · Collaborate with functional teams, architects, and business users to understand reporting and analytics requirements. · Provide technical support, enhancements, and continuous improvement to existing SAP analytics solutions. · Support system upgrades, migrations, and feature rollouts within SAP Datasphere and SAC. Mentoring & Knowledge Sharing: · Mentor junior consultants and support their technical development. · Share best practices and contribute to internal knowledge management and standards documentation. Qualifications: · Bachelor's or Master's degree in Computer Science, Information Technology, Data Analytics, or a related field. · 12–15 years of total experience in SAP Data Analytics, with hands-on expertise in SAP BW, SAP Datasphere, and SAP Analytics Cloud (SAC). · Proven experience in SAP BW/4HANA and BW on HANA, including data modeling, ETL design, and architecture. · 3+ years of implementation experience in SAP Datasphere and SAC, including at least 2–3 full life cycle projects focused on planning and reporting solutions. · Strong proficiency in ABAP programming, with experience in user exits, BADIs, and enhancements for data extraction and transformation. · Expertise in SAP Datasphere data modeling, data flow design, and integration with SAP and non-SAP systems. · Deep understanding of SAC story design, analytical applications, and data actions. · Hands-on exposure to advanced analytics capabilities such as Predictive Analytics, SAC Smart Features, and Application Designer (preferred). · Proven ability to troubleshoot complex technical issues, optimize system performance, and deliver high-quality solutions under tight deadlines. · Excellent communication, stakeholder management, and collaboration skills, with the ability to lead and mentor team members in a cross-functional environment. · SAP Certifications in SAP BDC, SAP Datasphere, SAC, or BW/4HANA are highly desirable. Preferred Skills: • Experience with SAP Embedded Analytics and integration with S/4HANA. • Strong sense of UX and design principles for creating intuitive and impactful data visualizations in SAC. • German language proficiency (spoken) is an added advantage for global project collaboration. • Understanding of machine learning or AI-driven analytics tools to enhance predictive insights within SAC or Datasphere. • Certifications in SAP BW/4HANA, SAP Datasphere, or SAP Analytics Cloud (SAC) preferred. • Experience working in Agile / Scrum environments, with familiarity in sprint-based delivery • Strong analytical, problem-solving, and business acumen with a focus on delivering measurable business value. • Ability to mentor, guide, and upskill junior team members and support overall team capability development. • Demonstrated ability to collaborate across technical and business teams in global delivery environments.