- Be a part of our team and create as well as operate automated pipelines for data extraction transformation and integration.
- You will work with different types of data data sources infrastructure as well as existing building blocks.
- In addition you make data from source systems available for data analysis or business process automation and implement data architecture conforming to defined (semantic) data models as well as data flow/pipelines.
- Furthemore you ensure defined/required data quality and make data quality transparent.
- You will also collaborate with business stakeholders domain experts and data experts.
- Last but not least you work with IT teams management and/or data architects as well as scientists to define goals of data preparation.
Qualifications :
- Education: degree (Master) in Software Engineering Computer Science or Business Informatics
- Experience and Knowledge:
- advanced skills in software engineering and algorithms for data integration and preprocessing
- understanding of different source and target (semantic) data models (e.g. schema ontologies aspect models for digital twins)
- knowledge of data management functions according to data management frameworks and data management processes
- IT affinity and understanding of logistics processes reporting and analytics
- domain knowledge data modeling and networking as well as basic knowledge of mathematics and statistics
- experience with visualization and analysis tools
- knowledge in data access and transformation
- understanding of data business and processes
- application of UX methods and ability to build stateoftheart user interfaces
- interpretation of technical results
- consulting skills
- Personality and Working Practice: you find it easy to work with different interest groups and communicate clearly and purposefully with them
- Enthusiasm: IT affinity and understanding of logistics processes reporting as well as analytics
- Languages: very good in English language skills in German are advantageous
Additional Information :
We offer flexible working models: from various parttime options to mobile working and job sharing. Feel free to contact us.
Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore we welcome all applications regardless of gender age disability religion ethnic origin or sexual identity.
Need support during your application
Julia Schfer (Human Resources)
Need further information about the job
Mats Seeliger (Functional Department)
Remote Work :
No
Employment Type :
Fulltime