Senior Python Engineer

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world's most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.

Our customer is a leader in advanced data solutions. We are looking for a proactive, open-minded Python Engineer to join a Feature Team working on a project in the marketing and sales domain. The goal is to analyze, predict, and optimize revenue growth management using modern data technologies and Generative AI (GenAI) tools to enhance productivity and development workflows.

This role is ideal for someone who thrives in dynamic environments, communicates effectively with clients, and embraces innovation through GenAI-assisted engineering.

• Collaborate with stakeholders and clients to gather requirements and propose solutions.
• Design and develop new features from scratch, ensuring quality and timely delivery.
• Use GenAI tools (e.g., for code generation, documentation, testing, or data analysis) to accelerate development and improve outcomes.
• Participate in architectural and functional design discussions.
• Research and evaluate technical options for implementing features.
• Estimate feature scope and break it down into actionable tasks.
• Identify and mitigate technical risks early.
• Resolve issues within agreed SLAs and implement customer-specific fixes.
• Maintain high development standards through testing and documentation.
• Mentor junior engineers and contribute to team knowledge sharing.
• Communicate proactively with clients and internal teams, ensuring transparency and alignment.

• 5+ years of commercial software development experience.
• 4+ years of Python development experience.
• Hands-on experience with:
  • FastAPI, Pandas, asyncio, SQLAlchemy
  • Celery, Redis, RabbitMQ, gRPC
  • Microservices architecture
  • Docker and cloud platforms
• Experience using GenAI tools (e.g., Copilot, Cursor, GitHub Copilot, or similar) to support development tasks.
• Solid understanding of software engineering principles, OOP, OOD, and design patterns.
• Agile/Scrum team experience.
• Strong problem-solving and fast learning abilities.
• Excellent communication skills, especially in client-facing scenarios.
• Proficiency in English (verbal and written).

• Open-minded and curious about emerging technologies.
• Highly proactive and results-oriented.
• Strong sense of responsibility and ownership.
• Flexible and adaptable in dynamic environments.
• Team player with mentoring capabilities.

• We care about all our employees and want them to feel as comfortable as possible. That's why we offer them health insurance from the first days, regardless of the probationary period.
• The gift from the company - Christmas holidays from 25 December to 31 December.
• Сooperation with Superhumans center and Veteran HUB. Capgemini Engineering has supported the launch of psychological rehabilitation department of Superhumans. Our team also donated over UAH prosthetics for three Ukrainian defenders. Currently, we support psychological counseling provided by the Veteran Hub, and we have implemented an internal policy making the company friendly to military and veterans with the assistance of the Hub.

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

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