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Flight data engineer

Näfels
Anavia AG
Inserat online seit: 22 April
Beschreibung

About the Company: ANAVIA specializes in the design, development & manufacturing of vertical takeoff & landing (VTOL) systems of up to 500 kilograms. The company offers industry leading unmanned helicopter systems for various mission profiles, such as Surveillance & Reconnaissance, Inspection or Mapping & Cargo. As a Flight Data Engineer at Anavia, you will be responsible for the design, integration, and testing of unmanned helicopter systems. You will work closely with cross-functional teams to ensure that our systems are reliable, efficient, and compliant with industry standards. your main tasks: Data Collection and Management: Oversee the collection, organization, and storage of data generated during UAV operations, ensuring data integrity and accessibility. Data Analysis: Analyse flight data to assess UAV performance, identify trends, and uncover insights that inform design improvements and operational strategies. Reporting: Develop and produce comprehensive reports and visualizations that effectively communicate findings to technical and non-technical stakeholders. Collaboration: Work closely with engineering teams, including flight control, test bench, and design engineers, to provide data-driven insights that guide product development and enhancements. Tool Development: Create and maintain analytical tools and scripts to automate data processing and analysis tasks, improving efficiency and accuracy. Validation and Testing: Support flight testing by analysing data to validate performance metrics and identify potential issues or areas for optimization. Continuous Improvement: Stay informed about industry trends and advancements in data analysis techniques, incorporating best practices into workflows. with this you convince us: Education: Bachelor’s degree in Aerospace Engineering, Computer Science, Data Science or a related field; advanced degree preferred. Experience: minimum 3-5 years ofSignificant experience with analysis of large datasets...

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