# Apply with an unsolicited application at Oniq

> Remote · Germany · Unspecified · Other · open. Source: https://alderhq.app/jobs/personio%3Aoniq%3A802485 (read 2026-11-08).

## Facts (observed)

- Company: [Oniq](https://alderhq.app/companies/oniq)
- Location text: Cologne/Berlin/Hybrid/Remote
- Where it can be done from (inferred): Remote · Germany (evidence: "Remote role open worldwide")
- Posted: 2022-08-26 (1535 days ago)
- First seen by alder: 2026-11-04 · last verified: 2026-11-04
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://oniq.jobs.personio.de/job/802485

## Pay and sponsorship

- Posted pay: not posted
- Market band for similar posted roles (Berlin, n 148): p25 €42k, median €56k, p75 €80k

## Description (the employer's text)

### About ONIQ

We are on a mission to transform manufacturing for a more sustainable and efficient future. With ONIQ, we are pioneering a new category in industrial tech - combining lean production principles with AI, process mining, and advanced data analytics. Our software empowers manufacturers to systematically identify inefficiencies, accelerate improvements, and scale operational excellence across their global production networks.

We are a highly motivated team with a strong sense of ownership and passion for what we do. Our entrepreneurial mindset and commitment to innovation have enabled us to grow fast and shape the future of digital lean and green manufacturing. At ONIQ, culture is just as important as product. We foster an environment rooted in authenticity, diversity, integrity, and mutual respect - where everyone is encouraged to bring their whole self to work.

### How to apply

Please use our job portal for your application, we are looking forward to hearing from you! If you have any questions, please contact us at jobs@oniq.com.

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/personio%3Aoniq%3A802485 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.
