---
title: Data Engineering Bootcamp | Le Wagon
description: "Discover our Data Engineering course: a few weeks to learn the fundamentals of Data Engineering and get job-ready for your career in tech!"
---
[](https://www.lewagon.com)
[Apply to our next sessions](https://info.lewagon.com/data-engineering-bootcamp-en#session)
[](https://www.lewagon.com)
[Apply to our next sessions](https://info.lewagon.com/data-engineering-bootcamp-en#session)
    
4,98/5 - 6,000+ student reviews
# Change your career with Le Wagon's Data Engineering course
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Learn with the #1 ranked coding bootcamp
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Graduate in 2 to 7 months
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Get a Data Engineer job in 3 months on average
[Apply to our next sessions](https://info.lewagon.com/data-engineering-bootcamp-en#session) [Download syllabus](https://info.lewagon.com/data-engineering-bootcamp-en#form)
### 28 000
alumni
### #1
tech bootcamp
### 4.98 / 5
6000+ students reviews
### 86%\*
employment rate
\*Our reports are based on surveys sent 6 months after training from 3467 respondents and publicly available data.
Our last report was updated in December 2024 and captures outcomes of bootcamp graduates that finished bootcamp in Europe or Online from 1st of Oct. 2022 to 30th of Sep. 2023.
financing
## Apply and our advisors will guide you about financing options
We're always finding new ways to facilitate payments and funding such as:
\- Pay in monthly installments
\- Pay early and get a discount
\- Apply for a scholarship...
[Apply to our next sessions](https://info.lewagon.com/data-engineering-bootcamp-en#session)
Curriculum
## Become a Data Engineer in weeks
Learn to build data pipelines using engineering techniques and develop the foundations for a high-demand data career.
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Build all elements of a modern data stack
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Master cutting-edge containerization techniques
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Scale your data organization
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Process any type and size of data
You will master these programming languages and tech tools:
 Python
 Docker
 Github
 BigQuery
 Fivetran
## Be job-ready by the end of the course
In the final weeks of your bootcamp, you'll design and build a data engineering project from the ground up. Integrate a variety of solutions from the modern data stack. Deliver data to end users and deploy your projects into production.
[Apply to our next sessions](https://info.lewagon.com/data-engineering-bootcamp-en#session)
## Work for some of the best tech companies
Le Wagon helps you land your dream job. Our career services guide you during your bootcamp.
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LEARNING SCHEDULE
## Intensive learning or learning without quitting your job?
Want to learn to code without quitting your job? Choose our part-time format.
Looking for an intensive training to graduate in only 2 months? Join our full-time format.
Full time
Ready to dive into tech? Join our intensive course. Monday to Friday, 9am to 6pm.
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Graduate in 2 months
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Live sessions from Monday to Friday 9AM to 6PM
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Q&A support during class hours
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Morning lectures and peer-to peer challenges in the afternoon
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40 hours of study in total, per week
Part time
Have commitments? Learn in your free time when it’s most convenient for you.
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Graduate in 7 months
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Join 2 live sessions per week, either on the evening or on Saturday morning
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Q&A support 24/7 on Slack
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Learn collaboratively with peers
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16 hours of study in total, per week
Upcoming sessions
## Join our next session in person or online
Watch [this video](https://info.lewagon.com/data-engineering-bootcamp-en#financing) to find out more about the application process and the financing options available.
## Would you like more details about our Data Engineering course?
Understand the goal of the course
Get our syllabus week by week
Understand our methodology
4.98/5
[2,927 reviews](https://www.coursereport.com/schools/le-wagon)
4.9/5
[1279 reviews](https://careerkarma.com/schools/le-wagon/)
4.98/5
[2698 reviews](https://www.switchup.org/bootcamps/le-wagon)
### Download our Data Engineering course syllabus
### See what our graduates do now
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[Jérome Drescig](https://www.linkedin.com/in/jerome-drescig/)
Technology and Data Advisor
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[Felipe Inostroza](https://www.linkedin.com/in/felipeinostrozar/)
Senior Data Scientist
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[Pavel Liser](https://www.linkedin.com/in/pavel-liser/)
Senior Data Scientist
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[Raphael Hidalgo](https://www.linkedin.com/in/raphael-hidalgo/)
Data Scientist Junior
FAQ
## Do you have questions? These answers might help!
## Do you offer career support?
Once the bootcamps ends, you will benefit from our career services.
Our local team will help you prepare for tech interviews, meet the best local recruiters and connect with relevant alumni. You will also have access to a complete guide to kick-start your tech career after the course: boost your portfolio, prepare for technical interviews, leverage our 23,000+ alumni community, but also to lots of useful Slack channels to find jobs or freelance opportunities.
Our local team will introduce you to the right people depending on your goal and you will meet with inspiring alumni who will come back to share their post-bootcamp experiences, like how they found a job, started their own company or freelancing career.
These are some career services we will provide:
\- Networking events, job fairs, career workshops and office hours with alumni or tech recruiters
\- Coaching sessions with our Talent Manager or local alumni
\- Resources our Career Playbook
\- Introductions to our network of hiring partners through our Hiring Newsletter
\- Career week with practical workshops (from building a portfolio to inspiring talks)
## What language is the bootcamp taught in?
In most cities, the bootcamp is taught in English.
In French cities, the program is in French. You will have a 1h30 lecture in the morning in French, and a 1h30 live-code in the evening in French as well. So, if you don't understand French correctly, you won't be able to attend the bootcamp in France.
In some other cities (São Paulo, Shanghai, Chengdu, Tokyo) specific sessions are organised in other languages (Brazilian Portuguese, Chinese, Japanese). You can check the language of the next batch on the "Apply" page.
Extra info: all the challenges' instructions and written documentation are in English, so all students must have a good level and understanding or written English, even in cities where lectures are given in another language.
## How can I apply to a course?
To apply, simply complete the application form on our website by selecting:
\- The course
\- The format (full-time or part-time)
\- The city you're interested in
\- An introduction of why you want to join us and information about your personal project (if you have one!)
This is a quick process which only takes a few minutes. We will then contact you to schedule an interview (either in-person or online) to understand your motivations in more detail and answer any questions you have about our bootcamps.
## How to I fit learning around my other commitments, is there a part-time option?
If you're unable to join our full-time course, you can consider joining our part-time cohort. Requiring an approximate commitment of 16 hours per week, enjoy a mix of pre-recorded on-demand lectures and live lectures while engaging in interactive sessions from the comfort of your home. This program is perfect for those looking to balance work and life, and it's led by expert instructors in a collaborative learning environment, complete with teachers, teaching assistants, and fellow students similarly to our full-time bootcamp.
## I don't have a technical background, can I apply for the Bootcamp?
Data recruiters are actively seeking Data Engineers with a solid combination of technical and soft skills, along with sufficient experience to navigate complex situations. Consequently, this Bootcamp is not accessible without prior technical or coding experience. The prerequisite skills required are a good understanding of SQL and Python (or another back-end language), either from your professional experience or software engineering studies. If you're new to the Tech or Data field and seeking a career in these areas, you might consider our other Bootcamps: Web Development, Data Analytics or Data Science - these could be a great fit for you!