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Airbus

Manufacturer of commercial aircraft, helicopters, defense

Lead Data & Analytics / AI Developer - AI & Advanced Analytics

Data EngineeringConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • Minimum of 10 years of professional experience in data engineering, advanced analytics, or business intelligence, or 7 or more years with a master's degree.
  • Bachelor's degree in Computer Science, Data Science, Business Analytics, Engineering, Information Systems, or a quantitative field; a master's degree is preferred.
  • Demonstrated experience leading digital initiatives and pipeline delivery within aerospace, manufacturing, transportation, or complex operational environments.
  • Proven track record as a lead technical developer or subject matter expert, mentoring junior developers, and establishing code governance in agile teams.
  • At least 3 years of hands-on experience in Palantir Skywise, including Pipeline Builder, Workshop, Slate, AIP Assist, Code Repository, Ontology, Contour, and Code Workbook.
  • Advanced proficiency in Python, PySpark, SQL, and Spark SQL for building performant, fault-tolerant pipelines.
  • Hands-on experience with generative AI models, prompt engineering, agentic workflows, and deploying AI/machine learning models into production workflows.
  • Expert knowledge of Tableau, Alteryx, and Power BI.
  • Ability to translate complex data architectures and AI algorithms into plain-language business insights for non-technical leadership.
  • Fluent written and spoken English.

Responsibilities

  • Design, build, and maintain scalable end-to-end data pipelines and analytical workflows in Palantir Skywise using Code Repository, Pipeline Builder, Ontology, Slate, AIP Assist, and Workshop to turn aviation manufacturing and flight data into operational insights.
  • Oversee administration, scalability, and user enablement for enterprise analytics platforms, including Alteryx and Tableau.
  • Serve as the principal technical authority for Data Engineering and Palantir Skywise across North America Digital; establish development best practices, enforce data governance and security, and optimize data assets.
  • Partner with operational leadership across regional worksites to translate assembly, logistics, and supply chain challenges into technical data requirements and data products.
  • Build and deploy advanced analytics and AI applications, integrating generative AI, machine-learning pipelines, and custom AI personas into operational workflows.
  • Promote adoption of emerging AI developer tools, including AIP Assist, Gemini, and domain-tailored AI agents, to automate coding, documentation, and data cleansing.
  • Ingest, clean, catalog, and structure disparate data sources, including APIs, databases, streaming feeds, and flat files, into feature sets and ontologies.
  • Monitor, evaluate, and optimize analytical and AI applications to maintain low latency, reduce technical debt, and sustain business value.
  • Design, lead, and facilitate technical workshops and enablement sessions to expand analytics and AI adoption across regional worksites.
  • Mentor junior data analysts, engineers, and citizen developers, and conduct peer code reviews.
  • Partner with the North American AI Center of Excellence to build capability, establish execution templates, and foster a data-driven, AI-first culture.

Desired Qualifications

  • Prior experience in an international corporate environment with transatlantic cross-border coordination.
  • Experience with cloud platforms such as GCP, AWS, or Azure; containerization with Docker or Kubernetes; and MLOps pipelines.
  • Palantir Foundry or Skywise certifications.
  • SAFe Agile certification or PMP credentials.
  • Cloud or Data Engineering certifications, including Databricks, AWS, Azure, or GCP.

About the Company

Airbus

Manufacturer of commercial aircraft, helicopters, defense

Airbus designs and manufactures a wide range of aerospace products, including commercial airplanes, helicopters, defense systems, and space technologies. Its aircraft and rotorcraft are built with integrated airframes, propulsion, avionics, and digital systems to carry passengers, cargo, or conduct military missions, while its space division covers satellites, orbital infrastructure, launch services, and secure communications. Airbus differentiates itself with an end-to-end portfolio across commercial, defense, and space, a global manufacturing and services network, and a focus on sustainability and digital transformation. Its goal is to enable global mobility and connectivity while reducing aviation’s environmental impact through sustainable aviation and collaborative innovation.

Company size
10,001+
Company stage
IPO
Headquarters
Blagnac, France
Founded
1970

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