Senior Python Developer

DCG is a space where business needs and people's ambitions meet. They help candidates find an environment to grow and help companies build effective teams by listening carefully and responding to what matters to them, creating lasting and valuable relationships.

• 5+ years of professional experience in Python development
• Strong analytical mindset with the ability to work in complex business domains
• Hands-on experience using AI tools in software development (e.g. GitHub Copilot, ChatGPT, AI-assisted testing or analysis tools)
• Experience working in Agile / Scrum environments
• Practical experience with Jira (backlog management, sprint tracking)
• Ability to support team coordination and Scrum ceremonies when needed
• Strong communication skills and ability to collaborate across technical and business teams
• Fluency in English (both written and spoken)

Nice to have:

• Experience in data analysis or data engineering
• Familiarity with machine learning or AI frameworks
• Experience in financial systems or credit risk solutions
• Experience as a technical mentor or informal team lead
• Interest in improving developer workflows through automation and AI

• Develop and maintain Python-based automation tools supporting validation of critical data flows in the credit decision process
• Ensure quality assurance of externally delivered frontend functionalities
• Perform analytical work on external financial and macroeconomic data sources (e.g. IMF, World Bank, EU, S&P), including data extraction, mapping, and feasibility assessments
• Explore and apply AI tools to improve developer productivity (e.g. code generation, analysis, testing support)
• Translate complex business requirements into scalable technical solutions in collaboration with analysts and product stakeholders
• Maintain high engineering standards, code quality, and best development practices
• Support team coordination when needed, including facilitating Scrum ceremonies and maintaining Jira workflows
• Contribute to continuous improvement of development processes, tooling, and delivery practices