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.
Our customer takes the leading position in advanced data. We are looking for a Python Engineer who will be part of a Feature Team for a project that pertains to the marketing and sales area. The goal of the project is analyzing, prediction, and optimization of revenue growth management.
Responsibilities
- Take part in requirements analyses, research implementation ways, and possibilities.
- Analyze and estimate implementation efforts.
- Actively participate in developing new features from scratch.
- Ensure that assigned areas are delivered within set deadlines and required quality objectives.
- Responsible for resolving crisis situations within areas of responsibility.
- Continuously collaborate with stakeholders.
- Obtain tasks from Team Lead or supervisor and execute them within set deadlines and specified quality objectives.
- Participate in functional and architectural design of assigned features.
- Research and evaluate technical options to implement assigned features.
- Provide estimations of feature scope and participate in splitting it into tasks.
- Proactively raise technical risks and provide mitigation plans.
- Investigate and resolve issues within agreed SLA.
- Implement fixes for specific customer issues.
- Ensure high-quality development standards (e.g., unit / integration tests).
- Report about status, feature readiness, technical risks, and other risks, raising red flags in crisis situations.
- Constantly improve professional skills.
- Mentor junior colleagues.
Requirements
5+ years of commercial development experience in total4+ years of Python development experienceCommercial experience with FastAPI, Pandas, asyncio, SQLAlchemy, Celery, Redis, RabbitMQ, gRPCFull application lifecycle experience.Strong experience with microservices.Docker, clouds.Good grasp of software engineering principles and practices.Tends to engineering excellence and getting things done.Fast research and learning skills.Team working experience in Agile / Scrum.Knowledge of OOP, OOD, design patterns.Good communication and collaboration skills.Sufficient English level for communication (verbal & written)Nice to have :
CI / CD and related toolsExperience with PySparkWhat You’ll Love About Working Here
Well-being culture : medical care with Medicover, private life insurance, and Sports card.Access to over 70 training tracks with certification opportunities.Continuous feedback and ongoing performance discussions.Enjoy hybrid working model that fits your life.Capgemini is committed to diversity and inclusion, ensuring fairness in all employment practices. We evaluate individuals based on qualifications and performance, not personal characteristics, striving to create a workplace where everyone can succeed and feel valued.
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