Training Data
Lead

70 hours of training and 2 full-time or part-timeprojects to manage complex Big Data infrastructures and master all the skills of a Data Engineer.

Data engineeringBootcamp

Why do this training?

Adapt the program to your own pace

Companies are now managing ever more complex infrastructures. Whether it's with the use of Spark, ETL processes or even DevOps, you'll learn all the tools you need to organize them.

Become a Data Engineer

The skills of the Data Engineer are increasingly in demand. He or she is able to solve a problem that has become vital: structuring all the company's own data and making it accessible to all departments.

Manage Data Infrastructure

Companies are now managing ever more complex infrastructures. Whether it's with the use of Spark, ETL processes or even DevOps, you'll learn all the tools you need to organize them.

The curriculum of the Lead training

Spark is THE Big Data framework, allowing complex computations and analysis on very large volumes of data. Being written in Scala, you will have to master it to continue your journey in Data Engineering. It is also a more suitable language in some cases than Python for Big Data infrastructure management.
We told you, Spark is THE Big Data framework. With your knowledge of the Scala language, you will be able to manage large volumes of data with Spark SQL. You will also learn how to manage streaming data for real-time analysis with Spark Streaming!
Extract - Transform - Load. In your professional missions, you will be required to collect data, pre-process it and store it in a data warehouse. Let's deepen the notions seen during the Fullstack program with all the powerful AWS services: RedShift, S3, RDS, Athena, Dynamo DB. Then you will learn how to automate all these processes with Airflow!
You will understand how all these databases are fed by having those sought after DevOps skills. You will learn how to standardize code environments, scale your application and manage your production infrastructure, with Docker and Kubernetes.
A first project will be administered to you, you will have to elaborate a processing strategy: 2.25 million lines to manage in this first guided project! In a second, more free project, you will deploy your own application and will have to manage it, with the amount of data it generates.
Big Data: Code in Scala
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Spark: manage your infrastructure
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Master the ETL process
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DevOps skills
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Data Engineering Projects
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Download the complete syllabus

Next sessions

Take your bootcamp part-time or full-time.
Keep the best training experience: in the context of the health crisis, all our training is delivered remotely.

Full time
13
Sep
24
Sep
Monday to Friday 10am - 4pm
Monday to Friday 10am - 4pm
7
available places
Only 2 places left!
Last place available !
Apply at
Week End
4
Dec
19
Jan
Every Saturday | 10am - 4pm
Every Saturday | 10am - 4pm
6
available places
Only 2 places left!
Last place available !
Apply at
Week Day
6
Dec
17
Dec
Monday to Friday 10am - 4pm
Monday to Friday 10am - 4pm
7
available places
Only 2 places left!
Last place available !
Apply at
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Data training,
with many opportunities

Entrepreneurs, managers, employees, freelancers, the objective is to build professional opportunities for you.

Make an appointment
data engineer training with jedha bootcamp
Data Engineer

A highly technical job! The Data Engineer builds the Data infrastructures, and promotes the work of the Data Scientists by putting their models into production.

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Machine Learning Engineer

He takes care of the last mile of data! The Machine Learning Engineer intervenes, among other things, to optimize the models so that they can be better deployed throughout the company.

DevOps

You will create applications or websites that meet the needs of your business. You will put all these environments in production and automate the data recovery processes!

Where do our alumni work after the training

After our Lead training, our alumni work as Data Engineer, Data Architect or Devops in renowned companies.

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The successes of our students

We are very proud of our student community and follow our alumni throughout their Data career to reach their professionnal goal.

Go to the blog
Project data
Footmatcher : Football player recommendation system
Project data
The applications of Data to finance
Project data
Applications of Data to music

A typical day of training

10:00
Course Review
We start the day by reviewing the previous day's concepts to make sure everything is in place before we start working on new content.
10:15
Course Content
Let's start the concept of the day with the teaching team who will take you step by step. You will be able to ask all your questions and progress at your own pace. 
12:00
Practice
Apply the concepts you have just seen to simple exercises. This will allow you to see the direct application cases and to grasp the technical mechanisms.
13:30
Challenge
Once you have been able to practice the theoretical concepts on simple exercises, it's time for the Data challenges! You will work on more complex Data topics that will allow you to better understand what a Data project is. 
16:00
Office Hours
Two additional hours are allocated each day with the teaching assistants to review concepts or move forward on your project. This is a good opportunity to ask questions and review some of the theoretical concepts. 
18:00
Events
We offer immersive Data training and what better way to end your day than with a Data talk. Many topics are covered by companies that have very interesting cases such as Doctolib, Payfit or Spendesk.
10:00
4:00
6:30
9:00
Sunday
D
Tuesday
M
Monday
L
Wednesday
M
Thursday
J
Friday
V
Saturday
S
At home
Recommended review of the lessons seen during the week and further study of the exercises
Presential
New theoretical concepts are tackled in Data with practice on application cases
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🏫 Presential - Work in class with your teacher to see the theoretical concepts and work together on the exercises.
🏠 At home - It is advisable to work at home to deepen the lessons and go over the exercises to best prepare for the week.

Training costs

Payment up to 7 times without charge
Possibility of financing by its CPF
Possibility of catching up on courses
Access to our online platform JULIE
Access to our content for life
Career Coaching & Mentoring Sessions
Access to our events for life
See funding opportunities
Essentials  
1 295 €
Fullstack
5 595 €
Lead  
1 995 €
Essentials  
1 295 €
Fullstack
5 595 €
Apply at
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The most recognized data training

With an average score of 4.95/5, Jedha is ranked first in the French data training ranking. Beyond the score, this is a reflection of our desire to provide knowledge in line with the needs of students and companies.

It isa real pride to be able to accompany our students in therealization of their professional projects, to make them autonomous in Data and to see them bring value to the companies in which they work.

Their training has been able to open up new horizons,
whether it is to set up their startup in AI or to launch their career in Data.

jedha campus lyon
4.95/5
#1 France
Overall
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Curriculum
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Job Support
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Is this training made for me?

I have advanced skills in Data
or I am coming out of the Fullstack program

I want to control
the entire
data pipeline

I make an appointment with the admissions team to find out everything!

Bootcamp data engineering jedha