Ingeniero de Sistemas de Software y Datos – Mantenimiento Predictivo

At Airbus we are focused on our employees and their welfare. Take a look at some of our social benefits:

• Vacation days and additional days-off along the year (+35 days off in total).
• Attractive salary and compensation package.
• Hybrid model of working when possible, promoting the work-life balance (40% remote work).
• Collective transport service in some sites.
• Benefits such as health insurance, employee stock options, retirement plan, or study grants.
• On-site facilities (among others): free canteen, kindergarten, medical office.
• Possibility to collaborate in different social and corporate social responsibility initiatives.
• Excellent upskilling opportunities and great development prospects in a multicultural environment.
• Special rates in products & benefits.

• Education: Degree in Aerospace, Systems, Software, Telecommunications, or Industrial Engineering, Computer Science, or a related field.
• Experience: 5+ years of combined experience in software development, systems engineering, or complex system design.
• Software Core: Strong proficiency in at least one backend language (Python, C++, Java, or Go) and modern software design patterns.
• Architecture & APIs: Proven experience in scalable, modular, or distributed systems and API design (REST, gRPC).
• Data Engineering: Hands-on experience processing, managing, and analyzing large, complex datasets.
• DevOps Basics: Familiarity with version control, CI/CD pipelines, and containerization (Docker).
• Systems Mindset: Ability to evaluate systems holistically rather than focusing solely on isolated software tasks.

• Aerospace & Critical Systems: Experience in aerospace, avionics, safety-critical domains, or exposure to software standards like DO-178C.
• Aerospace Data Protocols: Knowledge of aircraft communication protocols (e.g., ARINC, AFDX).
• Frontend & UI Capabilities:Hands-on experience with React and TypeScript.Track record of building intuitive UI dashboards for technical metrics, time-series data, and operational telemetry.
• Advanced Analytics: Background in predictive modeling, machine learning, or data visualization tools for engineering data.

Join our Health Management and Predictive Analytics team to shape the future of aerospace software. We are looking for a multidisciplinary Software & Systems Engineer to design and develop advanced ground software tools powering critical aerospace systems and flight operations.

This role sits directly at the intersection of software engineering, systems engineering, and data analytics. You won't just write code-you will dive deep into complex aircraft architectures, understand component interactions, and transform complex telemetry data into actionable operational insights.

You will play a key role in developing Health and Usage Management Systems (HUMS) across flagship aerospace platforms including the A400M, C295, EuroDrone, SIRTAP, and Hurjet.

• System Architecture & Design: Design scalable backend architectures, APIs (REST, gRPC), and ground tools handling complex, large-scale engineering datasets.
• End-to-End Development: Build applications for data acquisition, processing, analysis, and visualization-from low-level telemetry handling to user-facing dashboards.
• Interface & Requirements Definition: Define clear interfaces, boundaries, and system requirements in collaboration with avionics, hardware, and maintenance teams.
• Predictive Analytics: Apply data analytics, machine learning, and data-driven methods to unlock insights from flight and operational data.
• Platform Evolution: Drive technical decision-making, system trade-offs, and long-term platform roadmaps using robust engineering practices (CI/CD, containerization).

HUMS is a mission-critical capability designed to monitor real-time equipment health, drive safety, and maximize fleet efficiency:

• Predictive Maintenance: Detects early wear patterns before failures occur.
• Operational Safety: Delivers real-time health alerts to prevent critical incidents.
• Reliability & Efficiency: Optimizes asset lifespan and reduces unscheduled maintenance.
• Data-Driven Insights: Converts complex flight data into decision-support tools for fleet operations.

• Big-Picture Systems Thinking: Balanced approach between strategic architecture decisions and hands-on coding.
• Cross-Domain Collaboration: Ability to bridge communication gaps between systems engineering, avionics, and software teams.
• Autonomy & Ownership: Proactive problem solver comfortable navigating ambiguity in multidisciplinary environments.
• Technical Curiosity: Passion for understanding how physical hardware and aircraft systems operate under the hood.

Permanent

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Professional