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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Upscale your data organization
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Process any type and size of data
You will master these programming languages and tech tools:
curriculum
What you’ll learn in this data engineering bootcamp
Master the skill set of a Data Engineer, learning to build data pipelines and manage robust applications at scale through 5 key modules.
40h
Preparation work
What you will do in practice:
- Developer skill refresher: Linux, GitHub, and Git
- In-depth exploration of Python fundamentals
- Intermediate SQL refreshment
Software and languages you will learn:
40h
Build the foundation for data engineering
What you will do in practice:
- Set up your own virtual machine with Visual Studio Code
- Build your first data lake and implement data transformations with Python
- Apply CI/CD techniques using Ruff, Pylint, GitHub, and Poetry
- Deploy a FastAPI app into production using Docker
Software and languages you will learn:
40h
Create a data warehouse
What you will do in practice:
- Create a data warehouse with BigQuery and set up access for your team
- Import data using advanced SQL skills, Fivetran & Airbyte
- Set up a Postgres instance entirely from scratch and compare that to managed solutions
- Utilize Docker Compose for local setup and testing of complex setups such as sharded databases
Software and languages you will learn:
40h
Organize your data for visualization
What you will do in practice:
- Implement and optimize ETL workflows using Airflow
- Build and manage data pipelines with DBT, with a focus on modularity, testing, and version control
- Combine Airflow and DBT together
- Get introduced to Kubernetes and how to deploy to a production cluster
Software and languages you will learn:
40h
Optimize data workloads of any size
What you will do in practice:
- Leverage PySpark for transforming massive amounts of data
- Implement data streaming solutions with Kafka and Pub/Sub
- Transform streaming data in real-time with Apache Beam
- Learn how to manage and monitor your data solutions as your data workload increases
Software and languages you will learn:
40h
Conduct a comprehensive project
What you will do in practice:
- Data Engineering as a team: ADR process & Identity and Access Management (IAM)
- Use Terraform to create your infrastructure
- GraphDB pros & cons
- When to use Document DBs and Wide Column DBs
Apply the tools and technology acquired during the modules in practical situations
Start your career in tech!
- Elevate your personal branding & get technical interview training
- Benefit from 1:1 coaching & key alumni Q&A sessions
- Connect with an extensive network of 1000+ hiring partners
- Get a lifetime access to Le Wagon content
Choose the rhythm that suits you best
Whether you prefer an intensive full-time option or a flexible part-time format, our courses will be tailored to your preferences.
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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All day peer-to-peer learning
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40 hours of study in total, per week
Part-time
You want to keep your job or have personal commitments? Learn in your free time.
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Graduate in 7 months
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Flexible peer-to-peer learning
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16 hours of study in total, per week
Where would you like to study Data Engineering?
Boost your data career without disrupting your current responsibilities. Our remote program enables collaborative learning with peers, offering evening sessions to accommodate your busy schedule.
Buenos Aires
Next session: Stay tuned ⏳
Boost your skills learning from passionate Data experts
With skilled and helpful teachers, you'll rapidly learn hands-on skills and build a strong foundation to elevate your data career.
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Practice on real-life advanced tech projects
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Join a group of like-minded peers to support you
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Get career coaching to land your dream job
Meet our course creators and data engineering experts
The top tech recruiters choose Le Wagon graduates
Want to learn more about our Data Engineering bootcamp?
Understand the goal of the bootcamp
Get our syllabus week by week
Understand our methodology
Download our Data Engineering syllabus
Build a solid portfolio to showcase your skills to tech recruiters
Create various web apps, culminating in a live demo to a real audience. Enhance your profile with a portfolio ready for interviews.
Restaurant Data Analysis
LinkedIn job market trend analysis
Land your dream job
with the support of our career team
Benefit from personalized coaching, attend job fairs and networking events, get prepared for interviews and connect with recruiters.
Discover our career services1000+
hiring partners
90%
*employment rate
100+
countries with alumni presence
What career paths open up to you after this Data Engineering bootcamp?
After the course, you can apply for different roles in data, as an employee or as a freelancer:
- Data Engineering jobs: Data Engineer, Data Architect, Data Integration Specialist, Big Data Engineer, Data Pipeline Engineer, Data Infrastructure Engineer, Data Operations Engineer, Database Engineer, Data Platform Engineer.
- Full stack data jobs (depending on your background): Analytics Engineer, Senior Data Analyst…
What’s the average Data Engineering salary?
One of the top 25 jobs on the rise according to LinkedIn in France, the UK, Germany, Spain… Data Engineers are among the most sought-after and well-paid professionals currently.
Salaries in Data Engineering can vary depending on your seniority, location, or the sector in which you work. Learn more insights about the Data Engineer salary.
See what our Data Engineering graduates do now
Here’s why people like you choose Le Wagon
Do you need help with financing?
Get expert advice on financing possibilities, with the potential to secure up to 100% financing for your tuition. Explore your options now with a call.
How to apply to our Data Engineering bootcamp
Our Data Engineering Bootcamp is very technical and intensive. The prerequisite skills required are a good understanding of SQL and Python (or another back-end language), either from your professional experience or engineering studies.
Online Application
Apply online with a short motivation statement and info about your background and why you'd like to join the Data Engineering Bootcamp.
30 min informal, non-technical Interview
This is your opportunity to have all of your questions answered by our Admissions team and for us to find out more about your background, career goals and motivations to join.
Online Technical Quiz
The quiz takes around 45 mins and is designed to assess your current level of tech & coding knowledge with a focus on SQL & Python. You will have 3-5 days to complete this after your interview.
Payment options & prepwork
If successful, you'll receive your offer to join the bootcamp. The last step will consist of finding the most suitable financing option for you. Then, you'll jump into the 40hrs of prepwork ahead of your first day.
Ask all your questions to our advisors
FAQ
Your questions answered
- How much programming do I need to know? Well, you must be comfortable with data types & variables, conditions, loops, functions and data structures like arrays and dictionaries (also called hashes in some programming languages). If you know those topics in other languages than Python (like Ruby, JavaScript, C++, etc.), you have the right programming prerequisites!
- How much mathematics do I need to know? In order to join our Data Science course, you also need a minimum level in Mathematics and to be familiar with concepts covered in high school's scientific section. We need you to be comfortable with functions, their derivatives & systems of linear equations. To get up to speed, some additional preparation work will be given to you before the bootcamp start to get a refresh of all these concepts as well as more advanced knowledge on linear algebra and statistics.
Data analytics course
The data analytics bootcamp is beginner-friendly, with no prerequisites required. What counts for us is that you’re motivated to start your new tech journey.
To find out, simply select your country of residence on our financing page to discover what options are available to you.
If you have more than one option, during your admissions interview we will help you to choose the best option available for you.
- 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.