Backend Python Software Engineer | EU Institution | Brussels

Joining KEYES means giving purpose to your talent.

Are you looking for an environment where technology is not an end in itself, but a lever to build a sustainable future? At KEYES, we are not just looking for technical expertise; we are looking for people who share our values.

Do you want to continue your career and grow within one of Belgium’s leading IT companies?

Join KEYES as a Backend Software Engineer!

We support large enterprises, the public sector, healthcare organizations, and SMEs in all their digital challenges: Infrastructure & Cloud Solutions, Cybersecurity Solutions, Business Software Solutions, Mainframe Solutions, Data & AI Solutions, Advisory Solutions, and Staffing Solutions.

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THE BACKGROUND

For our client, an EU Institution based in Brussels, we are looking for a Backend Software Engineer (Python) to join a long-term mission within an international team delivering modern digital services and business-critical applications.

You will contribute to the development, maintenance, and enhancement of backend services and APIs, ensuring secure, scalable, and high-performing applications that support key business processes.

Please note: candidates must be located within (2) two hours of Brussels, as regular onsite presence is required throughout the assignment.

YOUR MISSION

As a Backend Software Engineer, your responsibilities will be as follows:

• Architect server-side components and services that form the backbone of web applications, employing best practices in Python programming.

• Develop and maintain RESTful APIs to facilitate seamless communication between front-end and back-end systems.

• Design, implement, and optimise database schemas and queries to ensure efficient data storage and retrieval processes.

• Manage database security measures to protect sensitive information, ensuring compliance with data protection standards.

• Enhance application performance by identifying bottlenecks and optimising server-side code and database queries.

• Implement scalable architectures to handle increased user load and data volume, leveraging cloud services and containerisation.

• Conduct regular code reviews and use vulnerability scanning tools to identify and address potential security issues.

• Implement security protocols and standards to safeguard applications against threats and ensure data privacy.