GE Internship - Data & Analytics for Brilliant Factories in Pomigliano D'Arco, Italy

Job Number



GE Aviation

Business Segment

Aviation AvioAero

About Us

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work collaboratively and across functions with the highest caliber talent, utilizing cutting-edge technology

and processes. Whether it’s the next generation of ecomagination products or the future of aircraft engines,

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for generations to come.

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Posted Position Title

Internship - Data & Analytics for Brilliant Factories

Career Level



Information Technology

Function Segment

Administration and Support

Location(s) Where Opening Is Available Italy


Pomigliano D'Arco

Postal Code


Relocation Assistance


Role Summary/Purpose

The internship will be developed in the Avio Aero Digital League Team on Data Analytics & Brilliant Factory projects with particular focus on business processes connected to the Pomigliano Plant.

Essential Responsibilities

As the IT Specialist for Pomigliano in the Avio Aero Digital League, you will:

  • Exhibit understanding of manufacturing and CRO business domains.

  • Participate on cross-functional Agile teams to deliver solutions for the Avio Aero Business teams.

  • Find and interpret data sources, manages large amounts of data, merge data sources together ensuring consistency of data-sets.

  • Create visualizations, and communicate insights/findings in simplified way.

  • Support the development data and data delivery platforms that are service-oriented with reusable components that can be orchestrated together into different methods for different businesses

  • Research and evaluate emerging data technology, industry and market trends to assist in project development and/or operational support activities

  • Coach new team members


  • Bachelor’s Degree in Computer Science or equivalent

  • Fluent Italian and English language.

  • EU work permit.

  • Strong prioritization, quantative and analytical skills

  • Hands on experience delivering Data As A Service (DaaS) using tools such as Talend, Informatica, Boomi, Akana

  • Familiarity with Data Visualization tools such as Tableau, Cognos, Spotfire

Desired Characteristics

  • Hands on experience with Big Data Technologies such as Hive, Spark, Spark Streaming, Kafka etc.,

  • Hands on experience managing petabyte scale data infrastructure

  • Familiarity with Predix and IoT solutions

  • Data modeling experience

  • Working knowledge of various cloud providers (AWS, Azure etc.)