Senior SAP Data Engineer SAP Data Analytics

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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

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.