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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Why you belong at 4flow

To be successful in this position, we believe you should possess the following attributes:

• 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.
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Why 4flow?

• A clearly defined vision and job security at a company with German roots.
• Exciting international work environment as well as rapid career development opportunities.
• Outstanding opportunities for your individual development (individual training budget and internal trainings).
• Permanent position, competitive base salary, an attractive bonus system, and a great benefits package.
• Flexibility and the opportunity to work remotely.
• Employee Assistance Program for mental health support.
• Sports, team member events and team getaways.
• Free access to organic fruit, cereal, snacks, drinks, and coffee at all 4flow locations.
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