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