Data Engineer Logistics fmdiv

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.

Furthermore, 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 state-of-the-art user interfaces
• Interpretation of technical results
• 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; skills in German are advantageous

Additional Information :

We offer flexible working models: from various part-time 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.

Julia Schfer (Human Resources)

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Remote Work :

Employment Type :

Key Skills

Shipping & Receiving, Inventory Control, Data Entry, AS400, Transportation Management Systems, EDI, Microsoft Outlook, Warehouse Experience, Office Experience, Dispatching, Microsoft Excel, Logistics