515 python English-speaking jobs in Germany

infrastructure and user-facing systems Hands-on experience with modern backend and frontend technologies (e.g., Python

back-to-back, 30 min + 30 min) Bar raiser interview with CEO (45 min) Our core tech stack TypeScript, Python

TypeScript, JavaScript, Go, Python, or similar) Experience designing integration, end-to-end, and regression

months - Demonstrated experience with at least one general-purpose programming language such as Java, Python

months - Demonstrated experience with at least one general-purpose programming language such as Java, Python

Engineering: Background in software development with hands‐on coding (Java, JavaScript/Node.js, Python

PyTorch) strong programming skills in Python intrinsic motivation to work on complex, real-world

DevOps and software engineering practices Familiarity with at least one programming language (e.g., Python

Data & Tech Native: Proficient with Google Workspace, comfortable working with SQL, Python, or BI tools

networking basics (TCP/IP, DHCP, routing, DNS) and an eye for information security Scripting skills in Python

Good knowledge of scripting languages, especially Python, Groovy and Linux shell scripting.

Knowledge of Veeva products Previous analyst‑level work and possess a working knowledge of SQL and/or Python

you have tinkered with tools like GitHub or tried your hand at writing a bit of code in JavaScript or Python

Our backend is written in Python, and you can work with APIs, SQL, event data, and attribution logic

data management, as well as experience with software development and version control practices (e.g., Python

Initial knowledge of backend programming in .NET, Java, or Python is not a must, but it makes your application

Data & Tech Native: Proficient with Google Workspace, comfortable working with SQL, Python, or BI tools

Python, MATLAB) Understanding of silicon photonics concepts and devices (e.g., MZI, MRR, couplers), with

Python, MATLAB) Understanding of silicon photonics concepts and devices (e.g., MZI, MRR, couplers), with

pipelines, cloud‐native architecture (Azure, AWS, or GCP), containers, CI/CD, and MLOps Strong command of Python