1423 python English-speaking jobs in Masovian Voivodeship

Nice to have: Knowledge of Python, Java, or R. Experience with data formats such as JSON and AVRO.

locking, and optimization Experience building database-centric middleware / data integration layers Python

Nice to have Querying and transforming data using SQL, Python / PySpark.

Programming proficiency in Java or Python. Fluency in advanced SQL tuning.

Nice to have: experience with performance optimization of Power BI reports, basic Python knowledge for

Nice to have Experience with Python or R. Knowledge of Regulatory Reporting processes.

and CI/CD pipelines; Familiarity with Scala libraries such as Cats, ZIO, Akka, or Pekko; Knowledge of Python

experience with vLLM, LiteLLM, and open‑source LLMs such as LLAMA 3.2, DeepSeek, or Mistral Strong Python

Nice-to-have: Experience with high availability and disaster recovery design Scripting skills (e.g., Bash, Python

Ability to write robust automation scripts in Python, Go, or Bash.

Strong competence, and proficiency with Python/Perl/TCL and Linux/Unix Administration.

performance, scalability and reliability 7+ years of commercial experience as a Data Engineer Strong SQL, Python

in designing, building, and running complex AI/ML projects in production;Expert-level proficiency in Python

reliability and scalability across solutions 5+ years of commercial experience as a Data Engineer Strong SQL, Python

Nice-to-have: Data analytics skills (SQL, Python).

; more than 20 years of experience in the IT marketDiverse technologies, including Java, PHP, .NET, Python

Design and build scalable data science solutions using Python, PySpark, SQL (optionally R or Julia). ... Proficiency in Python (pandas, NumPy, scikit‑learn, XGBoost, LightGBM, statsmodels) and strong SQL skills

experience Outstanding agentic AI experience with Codex, Claude code Proficient in scripting languages: Python

practical experience. 5 years of experience in full stack development, across back‑end such as Java/Kotlin, Python

including data exploration, cleaning, feature extraction, and experimental validationProficiency in Python