Senior Python Developer

PwC is a global network of more than 370,000 professionals in 149 countries that turns challenges into opportunities. We create innovative solutions in audit, consulting, tax and technology, combining knowledge from all over the world.

PwC SDC Lviv, opened in 2018, is part of this global space. It is a place where technology is combined with team spirit, and ambitious ideas find their embodiment in real projects for Central and Eastern Europe.

What do we guarantee?
Work format: Remote or in a comfortable office in Lviv — you choose.
Development: Personal development plan, mentoring, English and Polish language courses.
Stability: Official employment from day one, annual review of salary and career prospects.
Corporate culture: Events that unite the team and a space where everyone can be themselves.

We are looking for a Senior Python Developer with strong experience in data processing, AI-related development, and modern DevOps practices.

Main Responsibilities:
Design, develop, and maintain Python-based services, data pipelines, and tools;
Work with large datasets using Pandas, NumPy, and related libraries;
Contribute to AI/ML-related features (data preparation, model integration, basic experimentation);
Collaborate with DevOps to containerize and deploy applications (Docker, CI/CD);
Write clean, testable, and well-documented code;
Participate in code reviews.

Key Requirements:
5+ years of professional Python development experience;
Strong understanding of core CS concepts: data structures, algorithms, complexity;
Experience with document processing and data extraction from PDFs using tools such as PyPDF2, pdfminer, tabula-py, or similar libraries;
Solid experience with data processing in Python:Pandas (DataFrames, joins/merge, groupby, aggregations, time series, data cleaning);
NumPy (array operations, vectorization, basic numerical computing);

Experience with Python in AI/ML contexts:Working with ML/AI libraries (e.g., scikit-learn, TensorFlow, PyTorch) is a strong plus;
Experience in data preparation, feature engineering, and integrating models into applications is an advantage;

DevOps / infrastructure:Experience with Docker (building and running containers);
Familiarity with CI/CD tools (GitHub Actions, GitLab CI, Jenkins, etc.);
Experience with at least one cloud platform (AWS, GCP, or Azure);

Strong Git skills (branching, pull requests, code reviews);
Experience with testing frameworks (e.g., pytest)
Written and spoken English at B2 level.

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