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# Senior Data Engineer

- **Company:** 4flow AG
- **Location:** Stuttgart, Germany (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Computer Programming, Databases, Data Architecture, Data Systems, Data Warehousing, Python (Programming Language), NumPy, DataOps, Pandas, Matplotlib, Scikit Learn, Information Technology, Data Management, Data Pipelines
- **Published:** August 9, 2026
- **Apply:** https://www.adzuna.de/details/5833587158

## About the Role

* A Master's degree in a quantitative field such as (Business) Mathematics, (Business) Computer Science, Industrial Engineering, or Statistics.

 * Strong programming skills in Python and experience with data analysis and visualization libraries (e.g., Pandas, NumPy, scikit-learn, Matplotlib, Seaborn).

 * Solid knowledge of analytical databases, data management and data pipeline deployment with tools like dbt and Airflow.

 * You are a fast learner with excellent communication skills and a structured, detail-oriented working style.

 * You enjoy working with a team and want to contribute to an agile and supportive work environment.

## Description

4flow software develops a range of global standard software products for logistics and transportation planning that can be applied across all industries. The integrated planning approach of our software products ranges from the long-term optimization of network structures to the short-term optimization of transportation capacity utilization. In addition, planning results can be combined with transportation processing and accounting for integrated transportation management. Here, you will work at the intersection of logistics, technology, and compliance, driving product discovery and delivery

What your new challenge will look like

 * Drive the development of Data and AI features for 4flow software all the way from data architecture to mathematical optimization and simulation.

 * Design and implement scalable data architectures that power real insights, including databases, data warehouses, and robust data pipelines.

 * Ensure data solutions are reliable, accurate and built to last. Your work will set the standard for quality and scalability.

 * Shape modern DevOps and DataOps workflows that keep our processes agile and efficient.

 * Partner with analysts, product managers and supply chain specialists to turn complex data into practical solutions.


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