Job description
We are currently searching for a SAP BW Engineer to join our global medical devices client in Germany, to support their journey to S/4HANA.
The role:
We are seeking an experienced SAP BW Engineer to join our client's Data Insights & Advanced Analytics team within Global IT. This team serves as the central Data & Analytics partner for the global business, providing comprehensive infrastructure, data engineering, and analytics solutions to drive success.
Responsibilities:
- Collaborate with business stakeholders to understand and analyse requirements for SAP BW/4Hana solutions.
- Design and implement efficient data models in SAP BW/4Hana to meet reporting and analytics needs.
- Develop and implement ETL processes.
- Configure and optimize SAP BW/4Hana for performance and scalability.
- Create and maintain documentation for SAP BW/4Hana solutions, including technical specifications, data models, and system configurations.
- Stay updated on SAP BW/4Hana best practices and new features to enhance solutions continuously.
- Troubleshoot and resolve issues related to SAP BW/4Hana.
- Work closely with Azure and Databricks architects to align SAP BW/4Hana solutions with cloud architecture principles and best practices.
Ideal Candidate Profile:
- Bachelor's degree in Computer Science, Information Systems, or a related field.
- At least 4 years of experience as an SAP BW/4Hana Engineer or similar role, with hands-on implementation experience.
- Strong understanding of SAP BW/4Hana architecture, data modeling concepts, and best practices.
- Proficiency in designing and configuring InfoObjects, InfoProviders, CalculationViews, and data extraction processes.
- Experience with SAP HANA database technology is highly desirable.
- Excellent analytical and problem-solving skills, with the ability to translate business requirements into technical solutions visually.
- Strong communication and interpersonal skills, capable of effectively collaborating with stakeholders at all levels.
- Experience in agile project management methods is a plus.
- Ability to work independently and manage multiple priorities in a fast-paced environment.
- SAP BW certification is desirable.
- Experience with Microsoft Azure cloud services, including Azure Data Lake Storage, Azure Data Factory, and Azure Databricks, is a plus.
- Proficiency in German and/or English.
Benefits:
- Being part of an open-minded Data & Analytics team.
- Attractive remuneration package, including bonus and 30 days of vacation.
- Flexible and family-friendly working time models.
- Options for mobile working and home office.
- Personalised development and training opportunities through the Ottobock Academy and external training programs.
- An open corporate culture with regular team events and an exciting international working environment.
- Corporate benefits, job ticket, company bicycle, health management offers, and many more perks.
If this could be of interest, please respond with your updated CV.