Python Developer

Location: Luxembourg (Hybrid)

Contract Type: Freelance (12-month extendable)

Languages: English and French

Company Overview:

Join a leading financial institution / technology consultancy / EU agency (customize as needed) based in the heart of Luxembourg, supporting the development of robust backend systems, automation pipelines, and data-centric platforms. You’ll work on high-impact projects in a multicultural environment, collaborating with skilled engineers, analysts, and stakeholders.

Key Responsibilities:

• Design, develop, and maintain scalable backend applications using Python.
• Build and optimize APIs using FastAPI, Flask, or Django REST Framework.
• Write clean, maintainable, and testable code in line with industry best practices.
• Collaborate with DevOps engineers to integrate your solutions into CI/CD pipelines (e.g., GitLab, Jenkins).
• Work with data teams to ingest, transform, and serve data from various sources (SQL, NoSQL, flat files).
• Support the development of microservices and containerized deployments (Docker/Kubernetes).
• Participate in code reviews, daily standups, and sprint planning meetings.

Required Skills & Experience:

• 3–7+ years of experience in backend development with Python.
• Strong experience with RESTful API development (FastAPI, Flask, or Django).
• Good understanding of data structures, algorithms, and software design patterns.
• Proficiency in working with relational databases (PostgreSQL, MySQL) and basic SQL optimization.
• Experience in Docker and at least one cloud platform (AWS, Azure, or GCP).
• Familiarity with version control systems (Git) and Agile/Scrum methodologies.
• Unit and integration testing experience (e.g., Pytest, Unittest).
• English fluency is required; French or German is advantageous.

Preferred / Nice to Have:

• Experience working in banking, fintech, public sector, or EU institutions.
• Exposure to message brokers (RabbitMQ, Kafka).
• Basic knowledge of CI/CD, monitoring tools (e.g., Prometheus, Grafana), and infrastructure as code (e.g., Terraform).
• Familiarity with Pandas, NumPy, or data processing frameworks if working on data-heavy applications.
• Knowledge of security best practices, especially in API and data handling.