1314 python English-speaking jobs in Germany

Proficiency with FastAPI, Python, and common data science packages. ... Build scalable, maintainable backend systems using FastAPI and modern Python tooling.

Strong experience in at least one backend or full-stack engineering environment, such as Python, JavaScript

You are studying Computer Science or a related technical field Good programming skills, ideally in Python

streaming settings Proficiency in software development and software practices, with strong expertise in Python

Technical Skills: Proficiency in programming languages such as Python, R, or Scala.

Strong programming skills in Python and C++.

in Computer Vision, Machine Learning, Artificial Intelligence, or related technical fields • Strong Python

Technical excellence: You have hands-on command of Python and SQL and are comfortable with statistical

Must-haves You've deployed production-grade Python applications You love getting to grips with an unfamiliar ... development The Mac of your choice An office in the heart of Berlin Mitte Our Tech Stack Backend & data: Python

Strong engineering background — production-grade Python, strong SQL, code review, testing, CI/CD, and

(end-to-end systems) and proven tech leadership experience Strong hands-on coding: JavaScript + Python

computer science or a related field You have expert-level SQL skills, strong programming skills in Python

Proficiency in Microsoft Excel; exposure to Power BI, SQL, Python, or AI-powered productivity tools is

clusters and RabbitMQ environments in production; • DataOps practices and automation (Ansible, Terraform, Python

testing experience of multi-tiered applications Experience with programming languages like Bash and Python

experience in programming Initial knowledge in the area of object-oriented software development with Java, Python

Deep fluency in experiment design and A/B testing, metric definition, SQL/Python analysis, and communicating

Working proficiency in Python, R, or another relevant programming language for scientific computing.

Develop data and MLOps scenarios using tools such as Snowflake, Databricks, Python/R, SQL, Tableau/Power

Working proficiency in Python for scientific computing.