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.