Airbus

Asset Integration Engineer (Aviation Data & Analytics)

Airbus
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15 hours ago
Atlanta, GA, USAMid Level

Responsibilities

  • Build and improve model integration pipelines by automating data workflows and enabling efficient data integration.
  • Support global partners in retrieving aircraft parameters and logbooks and integrating predictive maintenance models into Skywise.
  • Transform disparate datasets into high-signal models through automated data pipelines.
  • Research R&D topics and propose AI/ML opportunities and technical architectures to improve scalability and cost.
  • Collaborate with international partners and managers through weekly discussions and occasional travel.
  • Contribute to technical discussions, documentation, research, innovation, and sustainability initiatives.

Requirements

  • Understand basic aircraft systems, aircraft-generated parameters, and temperature, vibration, and pressure sensors used for flight-health monitoring.
  • Have basic coding experience, preferably with Python, SQL, and Regex, or an MS equivalent.
  • Have a data-oriented analytical mindset and enjoy investigating the meaning and source of datasets.
  • Be willing to learn Palantir Foundry, Apache Spark/PySpark, and specialized Python frameworks used by the Skywise platform.
  • Communicate technical solutions effectively in English with engineers and non-technical stakeholders.
  • Hold a bachelor’s or master’s degree in Computer Science, Data Science, or a related field, or have equivalent professional experience.
  • Have at least two years of experience or an MS equivalent.
  • Be able to independently research R&D topics and propose new opportunities and solutions.

Benefits

  • Permanent employment with flexible work arrangements and flexible hours.
  • Vacation days, Christmas shutdown, 12 sick days, and summer core hours.
  • Training and development support, monthly Lunch and Learns, and a referral program.
  • Competitive group benefits, maternity and paternity benefits, mental health support, pension scheme, and employee share scheme.
  • Work travel opportunities, casual dress code, work-life balance initiatives, rewards and recognition, and inclusion and diversity programs.

Categories

Data Engineering
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