About the Company Akkodis is a global leader in engineering, technology, and R&D, harnessing the power of connected data to drive digital transformation and innovation for a smarter, more sustainable future. As part of the Adecco Group, Akkodis combines the expertise of AKKA and Modis, with over 50,000 engineers and digital specialists across 30 countries in North America, EMEA, and APAC. Our teams bring extensive cross-sector knowledge in critical technology areas such as mobility, software services, robotics, simulations, cybersecurity, AI, and data analytics, enabling clients to tackle complex challenges in today's rapidly evolving markets. With a comprehensive solution portfolio across four service lines - Consulting, Solutions, Talents, and Academy - Akkodis supports clients from concept through to full-scale deployment and optimisation. Our diverse offerings help organisations rethink product development, accelerate productivity, reduce time-to-market, and prepare for the future. At Akkodis, you'll join a dynamic environment that values continuous learning and global collaboration, where you can make a meaningful impact through innovative projects that shape the future of technology.
Akkodis is seeking a talented Python Developer to support our client on the prestigious project. This is a unique opportunity to work at the cutting edge of science and software, contributing to the development and optimisation of highly distributed software systems for one of the world’s largest scientific endeavours.
Develop and maintain robust Python applications supporting data-intensive operations.
Apply software engineering best practices including Git, CI/CD pipelines, and test-driven development.
Analyse, process, and visualise scientific data to support operational needs and research outcomes.
Collaborate with cross-functional teams of scientists and engineers on a project of global importance.
Proficient in Python programming, with strong experience in data processing and analysis.
Solid understanding of data structures, algorithms, and mathematical principles.
Familiarity with software engineering tools and practices (e.g., Git, CI/CD, testing frameworks).
Working knowledge of C/C++.
Previous experience on scientific or astronomical software projects.
Knowledge of telescope systems or similar large-scale data-driven infrastructure.
Strong experience in data processing and analysis.