Senior Data Engineer - Remote, Data & AI, Python

4flow SE; Charlotte (NC); Hybrid; USD 101,000 - 135,000; Full time

Benefits offered by this job

Remote work flexibility

Individual training budget

Employee health support

Team events & socials

Free fruit & beverages at locations

Job summary

4flow SE is seeking a Senior Data Engineer (d/f/m) to drive data and AI features across our software products. You will design scalable architectures, from data intake to optimization, enabling real-time insights for logistics planning.

In this role you’ll collaborate with analysts, product managers and supply chain experts, shaping DevOps/DataOps practices and ensuring robust, scalable data pipelines. A master’s degree and strong Python skills are essential for success.

Qualifications

• Master’s degree in a quantitative field.
• Strong programming skills in Python and data analysis.
• Knowledge of analytical databases, data management and data pipeline deployment (dbt, Airflow).
• Fast learner with excellent communication and structured work style.
• Experience working in an agile environment.

Responsibilities

• Drive development of Data and AI features for 4flow software from data architecture to optimization and simulation.
• Design and implement scalable data architectures powering insights (databases, data warehouses, pipelines).
• Ensure data solutions are reliable, accurate and maintainable at scale.
• Shape modern DevOps and DataOps workflows to keep processes agile and efficient.
• Collaborate with analysts, product managers and supply chain specialists to turn data into practical solutions.

Skills

Python

Communication skills

Agile mindset

Data analysis

Education

Master's degree in quantitative field

Tools

dbt

Airflow

Pandas/NumPy

Matplotlib/Seaborn

Job description

4flow SE is seeking a Senior Data Engineer (d/f/m) to drive data and AI features across our software products. You will design scalable architectures, from data intake to optimization, enabling real-time insights for logistics planning.

In this role you’ll collaborate with analysts, product managers and supply chain experts, shaping DevOps/DataOps practices and ensuring robust, scalable data pipelines. A master’s degree and strong Python skills are essential for success.