Home › Companies › Tree Logistics › Voluntary Internship: Tech, Logistics & Process Optimization
Voluntary Internship: Tech, Logistics & Process Optimization
Tree Logistics · Berlin · Hybrid · Active · Personio
Job facts
| Field | Value |
|---|---|
| Company | Tree Logistics |
| Title | Voluntary Internship: Tech, Logistics & Process Optimization |
| Normalized title | - |
| Department / team | Management |
| Location | Berlin |
| Work model | Hybrid / Hybrid |
| Employment type | Part Time |
| Salary | - |
| Status | active |
| ATS provider | Personio |
| Posted / first seen | 2025-04-01 / 2026-05-30 |
| Changed / last seen | 2026-05-30 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Tree Logistics. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Personio. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| Department jobs | Active postings in Management. | Open |
| Work model jobs | Active Hybrid postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Tree Logistics |
| Source | 72bf84c2-7066-4d0c-97ba-19b36ccc33e4 |
| ATS provider | Personio |
Description
Your mission
Location: Berlin (Hybrid Possible)
Duration: 3-6 Months
Position Type: Voluntary Internship (Unpaid)
About Us: Tree Logistics is a growing logistics company working closely with Amazon. We are looking for motivated interns (m/f/d) to join our team and support us in technology, logistics, automation, and process improvement .
Your Responsibilities: Identify and implement AI and automation solutions for processes Optimize internal workflows through performance projects with department heads (Dispatching, Fleet, Recruiting, HR, etc.) Assist in the recruiting process (process optimization) Analyze existing processes and implement efficiency improvements
Your profile
✅ You are at least in the 3rd semester of your studies
✅ Experience in process improvement is required
✅ Knowledge of AI, automation & technology is a plus
✅ Strong analytical skills & ability to work independently
✅ Team-oriented, communicative & motivated
✅ You live in Berlin (Hybrid work possible)
Why us?
✔️ Not your typical internship role: Work directly with the CEO on key projects
✔️ Diverse tasks: From analysis & strategy to operational implementation
✔️ Mentoring & coaching from experienced team members
✔️ Flexible work locations in Berlin (depending on project requirements)
✔️ Future perspective – the chance to become part of our team long-term
Full job record
| Job ID | acf14ffd11bad94af5ad3db6937523d6740ea143 |
| Org ID | 4a01af4d-7038-4b91-9477-38aa09f9d000 |
| Source ID | 72bf84c2-7066-4d0c-97ba-19b36ccc33e4 |
| Board ID | 72bf84c2-7066-4d0c-97ba-19b36ccc33e4 |
| Provider | personio |
| Provider Job Key | 2040343 |
| Title | Voluntary Internship: Tech, Logistics & Process Optimization |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Berlin |
| Department | Management |
| Team | — |
| Employment Type | part_time |
| Workplace Type | hybrid |
| Remote Policy | hybrid |
| Country | Berlin |
| Region | — |
| City | — |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://tree-logistics.jobs.personio.de/job/2040343?language=en |
| Apply URL | https://tree-logistics.jobs.personio.de/job/2040343?language=en |
| First Seen At | 2026-05-30 05:53:10Z |
| Last Seen At | 2026-06-06 07:54:07Z |
| Last Checked At | 2026-06-06 07:54:07Z |
| Last Changed At | 2026-05-30 05:53:10Z |
| Inactive At | — |
| Source Posted At | 2025-04-01 15:20:26Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=personio/board=tree-logistics.de/date=2026-06-06/2026-06-06T07-54-07-455Z-3ee7712105814f804888f2ca709e579f8445fab1afc7adf9ae07c4bb25d29f66.json |
Event Fields
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}Get this page with API
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