Job Description

Ulm
Full-time
01
This is what you can expect from us
    • Data analysis & visualization: Analysis, processing and visualization of business and logistics data for data-driven decision-making (e.g. with Power BI, Python)
    • Database management: Maintenance and further development of databases with a focus on data quality, availability and consistency.
    • Application development: Conception and development of customized IT applications for the optimization and digitalization of logistics processes.
    • Machine Learning: Conception, development and provision of ML models for solving logistical problems
    • Artificial Intelligence: Development of intelligent AI applications – especially RAG-based knowledge systems and autonomous AI agents
02
this is us

As a multi-award-winning family business, we have been successfully shaping the future of logistics for years. With over 3,500 employees at more than 45 locations, we set standards across Europe for efficient, fast, and flexible transport and logistics solutions.

Our success story continues – and we need you to help us do it! Become part of our team and contribute your passion for responsibility and innovation.

"As Data & Analytics Engineers, we are the link between data, technology, artificial intelligence and business processes - we create analytical foundations and make data usable company-wide.

Your benefits:

An exciting, long-term role in a rapidly growing company
Flexible working hours and a good work-life balance
Disability pension with a simple health check
A large scope for personal responsibility
Working environment in a newly built logistics property of the highest standard with access to the modern company restaurant and fitness room.
03
What you bring with you
    • Completed studies in computer science, business informatics, economics, data science or a comparable field of study
    • Analytical and solution-oriented thinking with a high affinity for data.
    • Technical competence: Experience with data analysis tools and programming languages ​​(e.g., Power BI, Python, SQL)
    • Machine Learning & AI: Knowledge in the development of ML models and in the use of generative AI.
    • Communication skills: Ability to convey complex analytical results in a way that is understandable and tailored to the target audience.
04
Contact person & application form
Do you have any questions beforehand?
Please feel free to contact me:
Ms. Fatma Aydogan,
Recruiting Manager
career@seifert-logistics.com
+49 731 4000 350

You can send us your documents quickly and easily via our application form