1597 python English-speaking jobs in Germany

Fluency in Python and familiarity with its scientific/visualization libraries such as NumPy numpy, Ppandas

Strong proficiency in SQL and Python for quantitative analysis.

Python skills and familiarity with the Python ML/AI ecosystem are a plus.

robust processes in collaboration with other teams Design, develop, and maintain production grade Python ... end-to-end setup, calculation, and publication of indices, ensuring accuracy and reliability Utilize Python ... instruments such as ETFs, derivatives, and structured products Proven programming skills, particularly Python

Our Data Tech Stack: Snowflake, Prefect, Python, Django, AWS, Terraform, Cloudflare, Docker, Github, ... in a hybrid role, building and operating production-grade data platforms or backend systems Strong Python ... Own data flow reliability end-to-end: observability, performance, error handling, and scalability of Python-based

Our Data Tech Stack: Snowflake, Prefect, Python, Django, AWS, Terraform, Cloudflare, Docker, Github, ... and maintaining large-scale data systems in Snowflake environment Expert knowledge of Snowflake and Python ... seamless data exchange and monetization Ensure solid, observable, and efficient data flows by operating Python

U&A studies, and pricing research Proficiency in working with survey data using tools like SPSS, Q, Python

biology, geoecology, or a similar discipline Knowledge of a (high-level) programming language (e.g., R, Python

professional experience in a data-driven, analytical, or operational role Basic Proficiency in SQL,Python

Advanced SQL and Python/R, experience with MMM frameworks, attribution models, and BI tools.

You have experience in at least one of the programming languages: C/C++, Rust, Python, or JavaScript/ ... Ideally, you bring experience in one or more of the following areas: Python/PyTorch (deep learning),

Extensive experience in data engineering, data platforms & analytics Comfortable writing code in either Python

Senior DevOps Consultant will build and maintain a data platform for climate modeling and analytics. Responsibilities include designing data infrastructure, setting up monitoring and performance optimization, and providing technical guidance to data analysts and scientists. Requires 5+ years of experience as a DataOps Engineer, proficiency in Python, shell scripting, containerization, CI/CD tools, and monitoring tools.

You have solid expertise in at least one programming language, either Python or C++.

NATO member states; Expertise in SOAR technology, preferably Palo Alto XSOAR; A strong foundation in Python

Strong technical background with proficiency in programming languages such as Java, C#, Python, or similar

Proficiency in Python and relevant data science/ML libraries (NumPy, Pandas, SciPy, PyTorch, JAX, Scikit-learn

Backend Development: Strong proficiency in Python, C++, , and backend frameworks such as NestJS, Flask ... Our physical infrastructure relies on distributed, Python and NestJS-based backend services hosted on ... Technologies We Work With: Event-driven backend development in Python and NestJS, following a microservice

merger control, ideally gained at a reputable consultancy firm; With proficiency in STATA/R and/or Python

Laravel), Python (preferred) Experience in modern web technologies - Vue.js, React.js, Flutter or similar