# Logistics Working Student - Germany at Sungrow Emea

> Germany · Unspecified · Other · open. Source: https://alderhq.app/jobs/personio%3Asungrow-emea%3A2879406 (read 2026-11-07).

## Facts (observed)

- Company: [Sungrow Emea](https://alderhq.app/companies/sungrow-emea)
- Location text: Germany - Oberschleißheim
- Where it can be done from (inferred): Germany (evidence: "Location: Germany - Oberschleißheim")
- Posted: 2026-11-06 (1 days ago)
- First seen by alder: 2026-11-06 · last verified: 2026-11-06
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://sungrow-emea.jobs.personio.de/job/2879406

## Pay and sponsorship

- Posted pay: not posted
- Market band for similar posted roles (Germany, n 487): p25 €37k, median €54k, p75 €78k

## Description (the employer's text)

### Your mission

Curious what this is all about? Let's dive right in:

- You support our daily spare-parts warehouse operations and keep things running smoothly.
- You handle system inbound and outbound processing in WMS, CRM, and SAP.
- You make sure that every physical warehouse movement is accurately reflected in our systems.
- You support data reconciliation and help resolve issues as they come up.
- You assist with inventory accuracy checks and keep our stock data reliable.
- You contribute ideas to improve logistics processes and make our workflows more efficient.
### Your profile

- You are currently enrolled in a university program, ideally in Logistics, Supply Chain Management, Business, Industrial Engineering, or a related field.
- You bring good Excel skills and a genuine interest in logistics systems.
- Experience with SAP, WMS, or CRM is an advantage, but not a must.
- You are detail-oriented and feel comfortable working with operational data.
- You communicate clearly and enjoy coordinating with colleagues across teams.
- You speak English at B2 level or higher.
- German or Chinese at B1 level is a plus.

---
Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/personio%3Asungrow-emea%3A2879406 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.
