500 python English-speaking jobs in Wrocław

data partitioning, batch configuration, and performance tuning for terabyte-scale processing, strong Python

Python/R: Ability to use Python or R for analysis, modeling, automation, or advanced statistical workflows

Python/R: Ability to use Python or R for analysis, modeling, automation, or advanced statistical workflows

Technologies: PySpark, Python, Proprietary Data Processing PlatformBuilding a modern data science platform ... the fundamentals of computer science and you master at least one widely adopted programming language (Python

software development experience.Proficient in Java; familiarity with other scripting languages like Python ... speaker capable of working seamlessly across international teams.Skills SummaryProgramming: Java / Python

Role in Action Design and implement complex data pipelines and distributed systems using Spark and Python ... Core Requirements Strong programming skills in Python and SQL; experience with Apache Spark for distributed

Media Other Job Titles R&D AI Software Engineer / End‑to‑End Machine Learning Engineer / RAG and LLM Python

set‑up, and has the ability to influence and foster a culture of innovation Commercial experience in Python

Technical Core Programming: Mastery of Python for both scripting and building complex applications.

Strong analytical problem‑solving ability to identify trends and patterns using SQL, with Python and/

Experience with at least two of the following is required: Java, Python, Scala, Rust and C#.

Experience coding payment rules using programming languages such as Python.

experience (AWS highly desirable: Kinesis, SQS, Lambda, Athena), Data Lake, Data Warehouse Docker experience Python

Strong proficiency in Python (required); C++ is a plus.

update tests to improve test coverage and efficiencyAssist in the development of automation tools using Python

Proficiency in scripting languages: Bash, Python.

exactly‑once/at‑least‑once patterns.Orchestration and workflow tools (Airflow, Prefect, Azure Data Factory).Python

effectively within fast-paced, geographically distributed teams.Backend:Strong proficiency in Java or Python

wrong‑version librariesWrong library locationsLinker errors and toolchain inconsistenciesProficiency in Python

Practical experience in Python, particularly in data science and machine learning libraries (PyTorch,