Big Data Academy @Atos

Short company description

ATOS is a global leader in digital transformation with employees in 71 countries and annual revenue of € 11 billion. European number one in Cloud, Cybersecurity and High-Performance Computing, the Group provides end-to-end Orchestrated Hybrid Cloud, Big Data, Business Applications and Digital Workplace solutions.

The Group is the Worldwide Information Technology Partner for the Olympic & Paralympic Games and operates under the brands Atos, Atos|Syntel, and Unify.

The purpose of Atos is to help design the future of the information space. Its expertise and services support the development of knowledge, education and research in a multicultural approach and contribute to the development of scientific and technological excellence. Across the world, the Group enables its customers and employees, and members of societies at large to live, work and develop sustainably, in a safe and secure information space.


Big Data Academy

Make your first steps towards the Big data engineering world!

A staggering 90% of the world’s data has been created in the past two years. In an increasingly evolving landscape, Big Data is critical to both business, customers, employees, and stakeholders. Be one of the few who is capable to raise awareness, understand and build the prerequisites skills and capabilities in this field.

We are looking for passionate, motivated, and energized graduates, with high expectations on the future, to challenge themselves, to develop, deliver and adapt to the changing IT landscape.

This 120 days academy is an exceptional opportunity, with interactive learning proven to help you gain knowledge and develop your Linux, Networking, SQL, Python, Cloud abilities.


What you will learn?

– Basic Data engineering concepts
– Learn the basic prerequisites needed to enter the Big data world
– Learn about Cloud, Infrastructure, Automation, programming and databases
– Analyze and organize raw data
– Build data systems and pipelines
– Evaluate business needs and objectives
– Interpret trends and patterns
– Conduct complex data analysis and report on results
– Explore ways to enhance data quality and reliability
– Collaborate with data scientists and architects on several projects
– Build features used by people around the world
– Write code on a modern software stack
– Script and automate builds.
– Learn about Agile/Scrum, and other work-related frameworks.

Other info

Who is this program for?

– students
– any passionate person who wants to start their career in the IT industry