Companies in Germany using GCP

205 companies headquartered in Germany list GCP as a requirement in 867 open roles. Most of those roles are in DevOps and infrastructure, data science and backend engineering teams. GCP most often appears next to Python, AWS, CI/CD, SQL and Azure. Roles that need it and state the pay sit at $159k a year in the middle.

From the requirements of live job postingsRebuilt 8 Oct 2026
companies hiring
205
open roles need it
867
median stated pay
$159k

Companies with the most open GCP roles

25 of 205 · the full list is in the API
CompanySizeOpen rolesTeams hiringMedian stated pay
Deutsche Bank1001-5000113DevOps and infrastructure, Backend engineering, Engineering leadership$142k
SAP1001-500092Enterprise applications, DevOps and infrastructure, Data science$227k
Bosch5000+27Solutions engineering, DevOps and infrastructure, AI and machine learning—
GFT Technologies1001-500027Data science, DevOps and infrastructure, AI and machine learning—
Adesso1001-500026Data science, DevOps and infrastructure, Backend engineering—
Commerzbank5000+23DevOps and infrastructure, Data science, AI and machine learning—
Deutsche Börse1001-500021DevOps and infrastructure, Data science, QA and testing—
Ultra Tendency201-50016Data science, Solutions engineering—
bonnorange201-50015DevOps and infrastructure, Data science, Backend engineering—
Allianz1001-500014DevOps and infrastructure, AI and machine learning, Solutions engineering—
Delivery Hero5000+13Backend engineering, Data science, Analytics—
Bayer1001-500013Data science, Backend engineering, Solutions engineering—
STILL5000+13Backend engineering, Security, Enterprise applications—
METRO5000+12Backend engineering, AI and machine learning, Data science—
Nagarro5000+11AI and machine learning, Backend engineering, DevOps and infrastructure—
Taktile501-100010Solutions engineering, AI and machine learning, Engineering leadership$220k
Deutsche Telekom5000+10DevOps and infrastructure, Sales, Enterprise applications—
inovex10DevOps and infrastructure, AI and machine learning, Backend engineering—
Sopra Steria Germany1001-500010Security, Backend engineering, Product management—
Mercedes-Benz1001-50009Backend engineering, AI and machine learning, Data science—
Roland Berger1001-50009Solutions engineering, AI and machine learning, DevOps and infrastructure—
Siemens1001-50008AI and machine learning, Data science, Backend engineering—
TeamViewer501-10008DevOps and infrastructure, Backend engineering, AI and machine learning—
Infineon Technologies1001-50008Data science, DevOps and infrastructure, Security—
Merck Group5000+8Science and research, DevOps and infrastructure, Engineering leadership—

Teams hiring for GCP

DevOps and infrastructure182
Data science123
Backend engineering123
AI and machine learning100
Solutions engineering62
Security52
Enterprise applications45
Engineering leadership41

Get all 205 companies as a list

Name, website, size, industry and headquarters of every company that requires GCP, through the API (company.getList with technology=GCP and country=DE). 205 companies × 0.02 credits = 4.1 credits ($0.41).

Questions

How do you know a company uses GCP?

A company counts when at least one of its open job postings lists GCP 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 GCP itself are left out.

Which teams hire for GCP?

Of the 867 open roles that require it, most are in DevOps and infrastructure (182), data science (123) and backend engineering (123).

What do GCP roles pay?

95 of the 867 roles state the pay. The middle of their posted ranges is $159k a year, converted to US dollars.

Can I download this list?

Yes, through the API: company.getList with technology=GCP 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 867 live job postings on employers' careers boardsUpdated 8 Oct 2026MethodologyJSONCC BY-SA 4.0