Predictive Maintenance & Analytics Transformation Specialist

Getafe - Spain

Monthly Salary: Not Disclosed

Posted on: 9 hours ago

Vacancies: 1 Vacancy

Job Summary

Job Description:

We are seeking a highly skilled Predictive Maintenance Specialist with strong expertise in Aircraft Systems Data Analytics and Artificial Intelligence (AI). The ideal candidate will drive the development and implementation of predictive maintenance models and data-driven solutions to enhance aircraft reliability reduce unscheduled downtime and optimize maintenance operations.

The candidate will join Health Management and Predictive Analytic team.

The analytics approach can have several applications such as the anticipation of the failure of an aircraft component the diagnosis of a failure that has already occurred what is the triggering process detect an anomaly in the system predict the life time of a component find the root cause of a failure optimize troubleshooting tasks etc.

Main responsabilities

Drive the design develop and deploy predictive maintenance models to anticipate aircraft component failures and optimize maintenance schedules.
Establish and maintain data integrity requirements to ensure the data set needed to feed the predictive maintenance models.
Participate in defining the certification basis for CBM applications ensuring compliance with aviation authorities and alignmentwith safety and reliabilityobjectives
Integrate and analyze flight data health monitoring system (HMS) outputs sensor data and maintenance logs.
Collaborate with avionics propulsion and airframe engineering teams to interpret system behaviors and identify degradation patterns.
Develop dashboards KPIs and data pipelines for real-time maintenance insights.
Implement data preprocessing feature engineering and anomaly detection methods.
Lead the validation and continuous improvement of predictive algorithms in operational environments.
Support digital twin and reliability-centered maintenance (RCM) initiatives.
Ensure compliance with aviation standards in predictive maintenance applications.
Communicate technical findings to non-technical stakeholders through clear visualizations and reports.
Analysis of the aircraft problems also from a Systems Engineering point of view: it is important to understand the operation of the system and the possible contributions to system failures.
Documentation preparation and exposition of presentations to show and communicate the model development process and the results obtained graphically and visually.

Required Qualifications/competencies:

Masters degree in Engineering Data Science Artificial Intelligence or a related field.
5 years of experience in predictive maintenance reliability engineering or data analytics within the aviation sector.
Deep understanding of aircraft systems (avionics engines hydraulics pneumatics environmental control etc.).especially valuable mainly A400M MRTT M&L and new developments.
Proficiency with machine learning frameworks (e.g. TensorFlow PyTorch scikit-learn) and data analytics tools (Python SQL MATLAB).
Experience with big data architectures (e.g. Spark Hadoop or cloud-based analytics environments such as AWS Azure or GCP).
Strong background in signal processing time-series analysis and fault detection.
Good communication skills assertiveness and willingness to travel
Commitment proactiveness and Team spirit is a must.

Preferred Qualifications:

Experience with digital twin technology or fleet-level predictive maintenance programs.
Knowledge of aircraft health monitoring systems (AHMS) and prognostics & health management frameworks.
Knowledge in CBM (Condition-Based Maintenance)
Familiarity with ARINC AFDX and ATA standards for aircraft data exchange.
Experience integrating AI models with maintenance information systems (MIS) or enterprise asset management (EAM) platforms.
Data analytics: data cleaning manipulation and processing. Descriptive diagnostic predictive and prescriptive analytics focused on aircraft systems using techniques for pattern recognition data mining design of experiments etc.
Knowledge of AI techniques or development of complex algorithms focused on time series NLP and image processing.
Programming knowledge: advanced level of Python and its main libraries dedicated to analytics and data science such as Pandas Numpy Matplotlib Seaborn Bokeh Scipy Scikit-learn Tensorflow Keras NLTK SQLAlchemy.
Knowledge in handling tools dedicated to data visualization such as Spotfire Tableau PowerBI
Knowledge in the development of queries for the extraction and manipulation of data: SQL.
Basic knowledge of relational and non-relational databases.
Knowledge of GIT version control and collaborative development.
General knowledge of the complete V&V development cycle.

This job requires an awareness of any potential compliance risks and a commitment to act with integrity as the foundation for the Companys success reputation and sustainable growth.

Company:

Airbus Defence and Space SAU

Employment Type:

Permanent

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Experience Level:

Professional

Job Family:

Computing&Comm and Info& Data Processing

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Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background age gender disability sexual orientation or religious belief.

Airbus is and always has been committed to equal opportunities for all. As such we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to.

At Airbus we support you to work connect and collaborate more easily and flexibly. Wherever possible we foster flexible working arrangements to stimulate innovative thinking.

Required Experience:

Job Description:We are seeking a highly skilled Predictive Maintenance Specialist with strong expertise in Aircraft Systems Data Analytics and Artificial Intelligence (AI). The ideal candidate will drive the development and implementation of predictive maintenance models and data-driven solutions to...