Companies in Germany using Python

586 companies headquartered in Germany list Python as a requirement in 3,346 open roles. Most of those roles are in early careers, backend engineering and AI and machine learning teams. Python most often appears next to CI/CD, SQL, AWS, JavaScript and Kubernetes. Roles that need it and state the pay sit at $116k a year in the middle.

From the requirements of live job postingsRebuilt 6 Oct 2026
companies hiring
586
open roles need it
3,346
median stated pay
$116k

Companies with the most open Python roles

25 of 586 · the full list is in the API
CompanySizeOpen rolesTeams hiringMedian stated pay
Bosch5000+423Early careers, AI and machine learning, Industrial engineering$175k
Infineon Technologies1001-5000229Industrial engineering, Hardware engineering, Early careers$102k
SAP1001-5000138AI and machine learning, Enterprise applications, Data science$261k
Deutsche Bank1001-5000127Finance, DevOps and infrastructure, Engineering leadership$153k
Fraunhofer-Gesellschaft1001-5000101Early careers, Industrial engineering, Backend engineering$40k
diconium1001-500073Backend engineering, DevOps and infrastructure, Data science—
Mercedes-Benz1001-500062Early careers, Backend engineering, Data science—
Zeiss5000+61Early careers, Industrial engineering, AI and machine learning—
Allianz1001-500057Early careers, Data science, DevOps and infrastructure$79k
Delivery Hero5000+46Analytics, Data science, Backend engineering—
Porsche1001-500044Early careers, DevOps and infrastructure, Industrial engineering—
GFT Technologies1001-500041Data science, Backend engineering, DevOps and infrastructure—
Siemens1001-500037Early careers, DevOps and infrastructure, AI and machine learning$102k
Merck Group5000+37AI and machine learning, Backend engineering, DevOps and infrastructure—
BMW Group1001-500033Early careers, Operations, AI and machine learning$115k
HelloFresh Nordics1001-500032Backend engineering, Analytics, AI and machine learning$95k
Helsing1001-500030AI and machine learning, Backend engineering, Robotics—
bonnorange201-50030Data science, DevOps and infrastructure, Early careers—
AUMOVIO5000+28Early careers, AI and machine learning, Data science—
Munich Re1001-500027Early careers, Data science, Analytics$112k
Bayer1001-500027Data science, AI and machine learning, Backend engineering$130k
The Exploration Company1001-500026Industrial engineering, Hardware engineering, DevOps and infrastructure—
Sopra Steria Germany1001-500025AI and machine learning, Data science, Security—
Adesso1001-500024Data science, Backend engineering, Security—
HENSOLDT5000+24DevOps and infrastructure, Backend engineering, Early careers—

Teams hiring for Python

Early careers534
Backend engineering420
AI and machine learning386
Data science346
DevOps and infrastructure328
Industrial engineering262
Hardware engineering181
Analytics171

Get all 586 companies as a list

Name, website, size, industry and headquarters of every company that requires Python, through the API (company.getList with technology=Python and country=DE). 586 companies × 0.02 credits = 11.72 credits ($1.17).

Questions

How do you know a company uses Python?

A company counts when at least one of its open job postings lists Python as a requirement, not as a nice-to-have. The list is rebuilt every night from the postings on the employers' own careers boards. Staffing agencies, job republishers and the maker of Python itself are left out.

Which teams hire for Python?

Of the 3,346 open roles that require it, most are in early careers (534), backend engineering (420) and AI and machine learning (386).

What do Python roles pay?

286 of the 3,346 roles state the pay. The middle of their posted ranges is $116k a year, converted to US dollars.

Can I download this list?

Yes, through the API: company.getList with technology=Python and country=DE returns each company's name, website, size, industry and headquarters for 0.02 credits a row (a credit is $0.10). New accounts start with 30 free credits.

Source: the requirements of 3,346 live job postings on employers' careers boardsUpdated 6 Oct 2026MethodologyJSONCC BY-SA 4.0