167 python English-speaking jobs in Munich

test engineering experience, including test strategy and architecture ownership have strong skills in Python

Management:Automate deployment, scaling, and recovery processes using scripting languages such as Bash, Python ... Expertise in system monitoring, logging, and observability solutions, Strong scripting skills in Bash, Python

Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness

skills in AI/ML design, training and implementation, AI frameworks such as PyTorch, TensorFlow, Keras, Python

)Experience with JIRA and versioning tools (SVN, Git)Programming/scripting knowledge (Batch, C/C++, Python

production-grade software work in a large, shared codebase (code review, CI, testing, documentation)Python

Code in a core programming language such as Python  Knowledgeable in a core Big Data Analytics domain

experience building and running software in production Comfortable across the stack – for example TypeScript/Python

Backend: Java (JVM), Node.js (NestJS); event‑driven microservices; API gateways/proxies AI platform: Python

teams Skilled in distributed data processing (, Spark), data lakes/warehouses, ETL/ELT patterns, and Python

Fluency in one of the programming languages: C, C++, Python.

design and tradeoffs in area, speed, powerExcellent programming fundamentalsExperience with SKILL and Python

software (PowerFactory, PSS/E, IPSA, ETAP, PSCAD, EMTP-ATP, ERACS, SKM)Modelling language experience (DPL, Python

fieldStrong experience in energy systems modelling, optimisation, forecasting and control strategiesStrong Python

interface architectures (channel equalization, CDR) and system-level AMS modelling.Proficiency in SPICE, Python

requirements engineering tools (Doors, Polarion, Jama)Proficiency in system design and simulation tools (Python

SystemVerilog RNM and analog behavioral modellingFamiliarity with digital/analog flows and scripting (Python

analytical rolesStrong analytical skills with large datasets and advanced spreadsheet modelingHands-on Python

Understand when a model is a reasonable simplification vs. a detailed physics representationProficiency in Python

architecture across complex customer use cases or multiple workstreams Strong coding proficiency in Python