INTERNSHIP DETAILS

Data Management & Big Data – DCOE Intern

CompanyGE Vernova
LocationCasablanca
Work ModeOn Site
PostedJanuary 25, 2026
Internship Information
Core Responsibilities
The intern will design and implement data processing pipelines and structure databases for analysis. They will also document processes and support project activities related to Big Data and database management.
Internship Type
full time
Company Size
63849
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
GE Vernova is a purpose-built energy technology company on a mission to electrify to thrive and decarbonize the world. It is made up of three businesses -- Power, Wind, and Electrification -- with focus on accelerating the path to more reliable, affordable, and sustainable energy, while helping our customers power economies and deliver the electricity that is vital to health, safety, security, and improved quality of life. The world needs more energy, smarter energy. With energy demand expected to grow by more than 50% in the next 20 years, we are continuously innovating to meet the moment…like we have for the past 130 years. The Energy of Change and relentless optimism are what drive us – it’s about never giving up and seeing what’s possible so that we deliver the energy technologies the world needs right now and for generations to come. GE Vernova’s attitude and edge is embedded in its name. We retain our treasured legacy, “GE,” as an enduring and hard-earned badge of quality and ingenuity. “Ver” / “verde” signal Earth’s verdant and lush ecosystems. “Nova,” from the Latin “novus,” nods to a new, innovative era of lower carbon energy that GE Vernova will help deliver. Together, we have the energy to change the world.
About the Role

Job Description Summary

Within the DCOE (Digital Center of Excellence) team, we collect a large volume of raw data from multiple sources (IEDs, logs, CSV files, COMTRADE files, etc.). This data must be structured and prepared to enable advanced analytics, reporting, and the deployment of Big Data and Artificial Intelligence solutions.

Mission
The intern / student will be integrated into the DCOE team and will contribute to:

Exploring and analyzing existing data sources

Designing and implementing data processing pipelines to transform raw data into structured datasets

Using Big Data tools for data processing and optimization of data flows

Modeling and storing data in appropriate relational or NoSQL databases

Documenting processes and data structuring rules to ensure data quality and reusability

Job Description

What you will do:

  • Design and implement functional data processing pipelines for raw data

  • Structure databases ready for analysis

  • Document processes, best practices, and solutions implemented

  • Support project activities related to Big Data, data engineering, and database management

  • Participate in training and knowledge sharing sessions on high-voltage equipment, HMI, and IED systems

  • Functional data processing pipelines for raw data

  • Structured databases ready for analysis

  • Complete documentation covering processes and best practices implemented

What you will bring:

  • Final year student pursuing a Master’s or Engineering degree in Databases, Big Data, Data Engineering, or Computer Science.

  • Knowledge of SQL, NoSQL, ETL processes, and data pipelines.

  • Experience in Big Data tools and programming languages (Python, Java, Scala, etc.)

  • Ability to analyze heterogeneous data and propose optimal structuring solutions

  • Good level of French and English.

  • This internship is up to 5 month.

What will make you stand out:

  • Strong analytical and structured mindset

  • Autonomous, detail-oriented, and a strong team player

  • Technical curiosity and proactive attitude

  • Interest in data simulation and analysis

Additional Information

Relocation Assistance Provided: No

Key Skills
Data ProcessingData EngineeringBig DataSQLNoSQLETLPythonJavaScalaData AnalysisData StructuringDocumentationTeam CollaborationAnalytical MindsetDetail-OrientedTechnical Curiosity
Categories
Data & AnalyticsTechnologyEngineeringEnergyEnvironmental & Sustainability