Senior Software Engineer

Overview

Akkodis is a global leader in engineering, technology and R&D, harnessing connected data to drive digital transformation and innovation. With over 50,000 engineers and digital specialists across 30 countries, Akkodis supports organisations from concept through to full-scale deployment and optimisation across consulting, solutions, talent and academy services.

Role

Akkodis is seeking a Senior Software Engineer to join the Engineering Methods & Tools team, supporting the Landing Systems Engineering organisation.

Key Responsibilities

• Lead software development activities and support engineering standards for scalable, maintainable codebases
• Design, build, test and maintain Python-based applications and services
• Integrate AI/ML components into engineering tooling in collaboration with data scientists and senior engineers
• Contribute to system and architecture design combining software engineering principles with AI capabilities
• Develop and maintain data processing workflows supporting software and AI-driven applications
• Deploy, monitor and support applications in production environments
• Collaborate with engineering stakeholders to define requirements and deliver practical solutions
• Identify opportunities to improve automation, efficiency and tool quality
• Produce clear documentation covering code, architecture and deployment processes

Required Experience

• 3-8 years’ software engineering experience, ideally within engineering, industrial or scientific environments
• Strong hands-on experience developing production-ready applications in Python
• Exposure to AI/ML technologies or integration of data-driven components into software systems
• Experience deploying and supporting applications in production
• Familiarity with cloud platforms, preferably AWS
• Experience working with databases and structured or unstructured data

Required Skills

• Strong proficiency in Python for application development (Java experience beneficial)
• Solid understanding of software engineering best practices including testing, CI/CD, version control and maintainability
• Foundational understanding of AI/ML concepts such as data pipelines and model usage
• Experience with data analysis or statistical methods advantageous
• Strong communication skills and ability to work collaboratively within multidisciplinary teams

Education

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence or a related discipline

This position offers the opportunity to take a technical leadership role in delivering scalable, AI-enhanced engineering tools within a complex engineering environment.