Job
- Level
- Senior
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- 70.000 to 75.000€ Gross/Year
- Location
- Laupheim
- Working Model
- Onsite
Job Summary
In this role, you will develop cloud-based data architectures and automated data pipelines. You will lead complex analytics projects and implement machine learning models for process automation using SAP BDC and MS Power Platform.
Job Technologies
Your role in the team
- Design and operation of cloud-based data architectures as well as scalable, automated data pipelines.
- Provision of a robust data infrastructure to enable analytics and AI applications.
- Process automation through Machine Learning and Artificial Intelligence with a focus on SAP BDC and MS Power Platform.
- Technical management of complex analytics and reporting projects.
- Technology scouting and implementation of innovative data and analytics tools.
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Our expectations of you
Education
- Degree in Computer Science, Business Informatics, Business Administration, or a comparable qualification.
Qualifications
- Knowledge in handling TQM, SAP Business Data Cloud, and MS Power Platform.
- Independent and structured way of working, as well as goal orientation and a quick grasp of concepts.
- Very good German and good English skills.
Experience
- Several years of experience in IT, information systems, and process management, as well as with risk and change management.
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What we offer
- With professional experience.
- €0 - €75,000.
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Benefits
Health, Fitness & Fun
Topics that you deal with on the job
Job Locations
This is your employer
engineering people GmbH
engineering people GmbH provides highly qualified engineers and specialists for complex projects in the automotive, mechanical engineering, electrical engineering, and IT sectors.
Description
- Company Type
- Recruiting Agency
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Recruitment Agency
Senior Data Scientist Machine Learning
- Salary
- 70.000 to 75.000€ Gross/Year
- Location
- Laupheim
- Working Model
- Onsite
- Diversity
- Open for all genders
