Senior Data Engineer developing and maintaining data pipelines and solutions for EMC's data analytics products. Collaborating with cross - functional teams to ensure high - quality data management and governance practices.
About the role
- Senior Professional Consultant leading architecture and design for SAP BW and SAC solutions at Freudenberg. Collaborating with stakeholders and optimizing performance of data landscapes.
Responsibilities
- Lead architecture and design for SAP BW and SAC solutions, ensuring alignment with enterprise data strategy.
- Develop and optimize data models, ETL processes, and integration patterns within SAP BW.
- Configure and manage SAC for planning, reporting, and predictive analytics use cases.
- Ensure data governance, security, and compliance across SAP data landscapes.
- Collaborate with business stakeholders to translate requirements into technical solutions.
- Enable AI/ML integration with SAP Analytics Cloud for advanced insights.
- Monitor and optimize performance of BW queries and SAC dashboards.
- Provide technical leadership and guidance to project teams.
- Support roadmap planning for SAP data and analytics initiatives.
- Contribute to best practices, templates, and accelerators for SAP BW and SAC.
- Assist in tool evaluations and proof-of-concept implementations.
- Mentor junior consultants and foster knowledge sharing.
- Drive continuous improvement in data architecture and analytics processes.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Science, or related field
- SAP certifications in BW/4HANA or SAC are highly desirable.
- 5–8+ years of experience in SAP BW and SAC implementations.
- Proven track record in designing and delivering enterprise-scale data solutions.
- Hands-on experience with data modeling, ETL, and reporting in SAP BW.
- Experience integrating SAC with SAP and non-SAP data sources.
- Specialized Knowledge in SAP BW/4HANA architecture, modeling, and performance optimization.
- SAP Analytics Cloud configuration, story building, and predictive features.
- Data governance and security concepts within SAP environments.
- Knowledge of AI/ML concepts and their application in analytics solutions.
- Professional proficiency in English (required). German or additional languages are advantageous.
Benefits
- Health insurance
- Professional development opportunities
Job title
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