5843 python English-speaking jobs in Poland

Having SAP/APO, SQL, Databricks, Python, and Power BI skills would be advantageous.Knowledge of English

discussionsRequirementsMinimum 5 years of commercial experience in a similar positionStrong experience in C/C++ and Python

RTOSKnowledge of communication protocols, including UART, SPI, I2C, BLE, among othersBasic knowledge of Python

stack (Redpanda/Kafka, Valkey/Redis, Elastic, Prometheus/VictoriaMetrics);Ability to script in Bash or Python

architectures (e.g., ARM Cortex-M);Proficiency in C programming for embedded systems;Experience in Python

computer science, information systems, or equivalent experience.Strong software engineering skills with Python

knowledge of Google Cloud Platform services and tools.Proficiency in programming languages such as Python

successfully.Familiarity with PMO processes and structured project delivery.Scripting skills in Python

)Nice to Have:Experience with AI/ML concepts or integrating with LLM-based systems a plusBasic Java/Python

technologies.Experience in similar positio**n.Preferred qualificatio**ns:Knowledge of scripting languages: Python

Python, Bash,knowledge in Azure DevOps, CD/CI tools and pipelines,familiarity with Agile / Scrum methodology

work under pressure and prioritize tasks effectively,Experience with scripting and automation (e.g., Python

Familiarity with automation technologies• Knowledge of testing methodologies and UAT coordination• Python

GitHub Actions, Jenkins, etc.)Solid knowledge of Linux.Proficient in scripting languages (e.g., Bash, Python

standardsOptimize data workflows for performance and scalabilityIt would be great if you:are proficient in Python

academic foundation in financial mathematics, statistics, and technology.Skills:SQL (nice to have), Python

detection, credit scoring, or risk analyticsHands-on familiarity with AI/ML tools and libraries, such as Python

(Python is a nice bonus; Java familiarity is a plus.)Comfortable with CI/CD tools and workflows.Know

may have exposure within the following tools/technologies: Jenkins CI/CD pipeline, Groovy scripting, Python

Backend: NestJS (Node.js), TypeScript, Prisma (ORM) Database: PostgreSQL API: REST, GraphQL Also in use: Python