How would you like to work in IT & Communication, toying with cutting edge technologies and enjoying your life? Come closer to #LifeAtOrange.

We are Orange Services and the biggest IT Hub within Orange Group. We are working with colleagues from both Orange corporate functions and country operations to help and provide the best IT & Business Solutions for all Orange customers.

What we're looking for:

If you are looking to be the best Data Engineer on the market, you can join us. We are a team motivated by the desire to apply the latest technologies following all best practices in the domain. We are oriented on results, and we prepare, process and analyze data to drive operational, analytical, and strategic business decisions.

Our project manages and monitors fleets of devices on behalf of multiple countries. We manage to handle millions of devices and provide them with proper firmware and configurations. The ecosystem is very wide and complex. And thus, there is a lot of data to be stored and analyzed in an efficient manner.

What you'll be doing:

• Ship or learn how to ship high-quality, elegant, well-tested, secure and clean code

• Active participation in backlog grooming, sprint planning and implementation

• Participate in meetings about new requirements and make sure they can be reliably integrated

• Own and manage different phases of the software development lifecycle: coding, testing, and debugging new feature requirements.

What we expect you to know/have:

• Programming skills in Python with an understanding of data structures and algorithms

• Basic knowledge of databases

• Understanding of CRUD operations (Create, Read, Update, Delete).

• Basic SQL queries

• Linux CLI usage

• Familiarity with Git and version control concepts

• Good energy and determination to develop your skills

Nice to have

• Experience with Pandas, NumPy, or data processing libraries;

• Knowledge of non-relational databases; Understanding of ETL processes; Exposure to cloud platforms

What will you learn:

• Work with various data source formats, including Parquet, JSON, and CSV

• Apache products like Kafka, Spark, and NiFi for real-time data streaming and processing

• Develop skills in BI reporting using Grafana for data visualization and analysis

• Learn to work with SQL and NoSQL databases in a production environment

and many more...