Development Engineer - Data Analytics at Destinus

Payerne, Vaud, Switzerland -

Full Time

Start Date

Immediate

Expiry Date

14 May, 26

Salary

0.0

Posted On

13 Feb, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Data Analysis, Software Development, Data Pipelines, Model Validation, Statistical Analysis, Uncertainty Quantification, Data Visualization, Time-Series Data, Scientific Computing, NumPy, Pandas, SciPy, Matplotlib, Seaborn, Scikit-learn

Industry

Defense and Space Manufacturing

Description

About the role Imagine being the bridge between fire and code between what happens in a rocket motor test and what our models believe is happening. We are looking for a Development Engineer dedicated to building advanced tools for test data analysis and internal model validation. This role is not a test engineering position; instead, it focuses on transforming raw test data into actionable insights and ensuring that analytical and simulation models accurately reflect real-world behaviour. You will work closely with propulsion engineers, analysts, and simulation teams to develop robust software frameworks that process, analyze, and interpret data from rocket motor tests. Your work will directly contribute to model credibility, performance prediction accuracy, and faster development cycles. At Destinus, we are revolutionizing the defense industry with cutting-edge Unmanned Aerial Vehicles (UAVs). Our innovative technologies are designed to meet the unique demands of modern defense operations, delivering unparalleled speed, precision, and cost effectiveness. Destinus partners with government agencies and defense organizations worldwide to provide advanced solutions for mission-critical operations, enabling a new era of efficiency and technological superiority. Join us in shaping the future of defense with groundbreaking aerospace innovations. What You´ll Do Develop and maintain software tools to process, clean, and analyze rocket motor test data Design data pipelines and analysis workflows that convert raw sensor data into validated engineering metrics Build frameworks to compare experimental test results against internal analytical, numerical, and AI-based models Support model validation, calibration, and continuous improvement using test data Implement statistical analysis, uncertainty quantification, and error assessment methods to evaluate model accuracy Collaborate with propulsion, simulation, and systems engineers to define validation criteria and performance indicators Create Python-based libraries for data analysis, visualization, and reporting Automate recurring analysis and validation tasks to improve efficiency and reproducibility Document data processing methods, assumptions, and validation results to ensure traceability and long-term usability What You’ll Need Bachelor’s or Master’s degree in Software Engineering, Aerospace Engineering, Mechanical Engineering, Applied Mathematics, Physics, or a related field 1–3 years of professional experience in software development, scientific computing, or data analysis Exposure to rocket propulsion, aerospace testing, or high-performance engineering systems Strong proficiency in Python, including experience with data and scientific libraries (e.g. NumPy, pandas, SciPy, matplotlib, seaborn, scikit-learn, or similar) Experience working with experimental or time-series data, including filtering, synchronization, and post-processing Solid understanding of statistics, data analysis, and model validation concepts Ability to write clean, maintainable, and well-documented code Strong analytical mindset and attention to detail Comfortable working closely with engineers while maintaining a software- and data-focused role Who You Are You are a data driven engineer who thrives at the intersection of software, physics, and real world testing. Curious and analytical by nature, you dig deep into complex datasets, challenge assumptions, and bring structure to ambiguity. You take ownership of your tools and models, value technical accuracy, and collaborate seamlessly with propulsion and simulation teams to turn raw results into reliable engineering insight.. Why Join Us? ✨ The Thrill of the Future – Work on cutting-edge projects that redefine aerospace. ✨ Global Innovation Hub – Collaborate with top engineers from all over the world. ✨ Fast-Paced & High-Growth – Experience the rush of working in a rapidly expanding company. ✨ Real Impact – Your work won’t be theoretical—it will shape the future of flight. Destinus is an equal-opportunity employer. We value diversity in our companies and our teams and do not discriminate based on age, race, religion, color, country of origin, gender, sexual orientation, or disability status. 🚀 Destinus – Challenge the limits of time, space, and human potential.

Responsibilities

The engineer will develop and maintain software tools to process, clean, and analyze rocket motor test data, designing data pipelines to convert raw sensor data into validated engineering metrics. This includes building frameworks to compare experimental results against internal models and automating recurring analysis tasks.