Jupyter Jobs
6 Jupyter jobs currently listed
Browse 6 open positions that require Jupyter experience. Every listing includes the full tech stack, language requirements, remote policy, and salary data, so you can filter with confidence instead of guessing from job descriptions.
By the numbers
- 4 companies hiring
- Mostly Senior roles
- Often paired with Python, SQL, Java, pandas
- Top locations: Berlin, Nuremberg, Zug
Market insights
GetYourGuide is currently the most active employer hiring for Jupyter.
Seniority mix
- Senior 67%
- Junior 17%
- Staff 17%
Top hiring companies
What you'll find here
Each job includes structured data from the original posting. You can see exactly which technologies are required vs. nice-to-have, whether the role is remote-friendly, and what salary range to expect, all without reading through pages of job descriptions.
GetYourGuide 1 week ago
Hybrid
Staff Data Analyst, Paid Search
Berlin, Germany - English
SQL Python pandas scikit-learn PySpark +3
GetYourGuide 1 month ago
Hybrid
Senior Data Analyst (Sales & RevOps)
Berlin, Germany - English
SQL Python
Imc 1 month ago
Hybrid
Graduate Software Engineer - Digital Assets
Zug, Switzerland - English
Python Java Scala Go C++ +1
GetYourGuide 3 months ago Open for 109+ days Reposted 2 time(s)
Hybrid
Senior Decision Scientist, Customer Care Analytics
Berlin, Germany - English
SQL Python Looker Jupyter
Frequently Asked Questions
- There are currently 6 open positions that list Jupyter as a required skill. This number updates daily as new jobs are posted.
- We analyze every job description to identify the specific technologies mentioned. We distinguish between technologies that are required, nice-to-have, or explicitly not used, so you get an accurate picture of each role's tech stack.
- Yes. Jobdex supports negative filtering, which lets you exclude specific technologies from your search. For example, you can find Jupyter jobs that don't use a particular framework or language.
- When a company includes salary in their job posting, we use that directly. Otherwise, we parse salary information from the job description. Each salary figure gets a confidence score. High-confidence data is shown prominently, while less certain figures are clearly marked.