Logistics Engineer
76.005 € (EUR)/yr
36,54 € (EUR)/hr
3.299 € (EUR)/yr
The average logistics engineer gross salary in Ulm, Germany is 76.005 € or an equivalent hourly rate of 37 €. This is 3% higher (+2.028 €) than the average logistics engineer salary in Germany. In addition, they earn an average bonus of 3.299 €. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Ulm, Germany. An entry level logistics engineer (1-3 years of experience) earns an average salary of 53.506 €. On the other end, a senior level logistics engineer (8+ years of experience) earns an average salary of 85.553 €.
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86.871 € (EUR)
14 %
Based on our compensation data, the estimated salary potential for Logistics Engineer will increase 14 % over 5 years.
This chart displays the highest level of education for:
Logistics Engineer, the majority at 37% with bachelors.
Typical Field of Study: Logistics, Materials, and Supply Chain Management
See how education can impact your salary- Secret Clearance - U.S. Government
- Top Secret Clearance - U.S. Government
- APICS Supply Chain Professional - CSCP - Association for Operations Management
The cost of living in Ulm, Germany is 5% more than the average cost of living in Germany. Cost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.
View Cost of Living PageUlm (German pronunciation: [ʊlm] ) is the sixth-largest city of the southwestern German state of Baden-Württemberg, and with around 129,000 inhabitants, it is Germany's 60th-largest city. Ulm is located on the eastern edges of the Swabian Jura mountain range, on the upper course of the River Danube, at the confluence with the small Blau Stream, coming from the Blautopf in the west. The mouth of the Iller also falls within Ulm's city limits. The Danube forms the border with Bavaria, where Ulm's t
Sourced from WikipediaERI's compensation data are based on salary surveys conducted and researched by ERI. Cost of labor data in the Assessor Series are based on actual housing sales data from commercially available sources, plus rental rates, gasoline prices, consumables, medical care premium costs, property taxes, effective income tax rates, etc.
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