Level
Experienced
Location
Donauwörth
Working Model
Onsite
Job Field
IT, Software, DevOps
Employment Type
Full Time
Contract Type
Permanent employment

Job Summary

In this role, you analyze data from the customer fleet, develop predictive maintenance models, and create dashboards to visualize flight and vibration data for optimizing safety and availability.

Job Technologies

Your role in the team

You will become part of the ESATD department, responsible for the technical support of HUMS: The Health & Usage Monitoring System is based on data collected from the customer fleet and is used to support maintenance through early detection.
Thanks to our FlyScan service, we actively support operators in analyzing flight and vibration data to continuously optimize the safety and availability of the fleet.
Data preparation & integration: Collection, cleaning, and merging of complex datasets from various sources, as well as preparing raw data for machine learning models.
Data Analysis & Trend Detection: Systematic analysis of large datasets to identify key trends, patterns, and actionable operational insights.
Model development: development, testing, and continuous refinement of statistical models and machine learning models.
Predictive Maintenance: Development and implementation of practical tools for condition monitoring of equipment and failure prediction of helicopter components.
Agile project execution: End-to-End management of data projects - from initial concept to final deployment - within agile frameworks.
Visualization & Reporting: Creation of intuitive dashboards and visual reports (e.g., with TIBCO Spotfire, Google Workspace tools) to support internal and external stakeholders.

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Our expectations of you

Education

Completed university degree in a technical field, or alternatively, a technician with several years of extensive professional experience.

Qualifications

Time series data: Solid background in the analysis of time series data, particularly aircraft sensor and maintenance data.
Applied Statistics: Solid knowledge of core statistics, including anomaly detection, probability theory, and hypothesis testing.
Programming & Databases: Knowledge of Python programming, SQL database management, and DevOps.
Open-minded, proactive, and future-oriented.
Strong team spirit.
Customer-oriented with good manners.
Good knowledge of English and German.

Experience

Required professional experience: Previous experience in aviation, knowledge of helicopter maintenance and repair, or experience in a supporting role are a must.
Big Data tools: Practical experience in processing and handling large datasets (e.g., Palantir).
Machine Learning: Practical experience in building, validating, and optimizing machine learning models.

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What we offer

Fair compensation & perks: Attractive remuneration and personalized additional benefits, e.g., corporate pension schemes, mobility offers (e.g., bike leasing), or employee advantages with partner companies in accordance with our current policies.
Time for you (and your family): 30 days of annual leave according to collective agreement (35h/week); work-life balance (flexible working hours, mobile working, part-time, job sharing, sabbatical).
Making progress easy: Excellent training opportunities and international, company-wide development prospects.
Well-being at the workplace: Company doctor; comprehensive health services (sports courses, prevention programs, and more), canteen and cafeteria, partly on-site kindergarten.
Diversity connects: Working in a diverse environment with more than 140 nationalities, where exchange, support, and diversity are lived.