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4.98/5 - 6,000+ student reviews

Data Engineering course in Online LATAM

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    Learn with the #1 ranked coding bootcamp

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    Get a data job in 3 months on average

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    Graduate in 5 weeks or 3 months, online or in-person

Online LATAM

Our Data Engineering alumni are now working at:

Amazon Google Doctolib Meta Microsoft PayPal Qonto
Le Wagon logo Apply now
Overview

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:

Docker Docker
Python Python
GitHub GitHub
GCP GCP
BigQuery BigQuery
PostgreSQL PostgreSQL
Kubernetes Kubernetes

Apply for the next Data Engineering course

Next date

Apr 26, 2025

Availability

Limited seats

See all sessions
Apply now

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

Our advanced data engineering course is intense. To be well-prepared and get the most out of the bootcamp, you must complete 40 hours of preparation work to develop your tech foundations.

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:

GitHub GitHub
Python Python
SQL SQL
Git Git

40h

Build the foundation for data engineering

Kickstart your journey into Data Engineering with a deep dive into core concepts and tools, setting a strong foundation for your growth in this field from using Python and CI/CD best practices to learning Docker.

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:

Docker Docker
Python Python
GitHub GitHub
GCP GCP

40h

Create a data warehouse

Work on the central piece of your modern data stack: the data warehouse. Elevate your skills in SQL, Postgres and use BigQuery as a Data Engineer. Also, discover Docker Compose for handling multi-container Docker applications.

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:

SQL SQL
BigQuery BigQuery
Docker Docker
PostgreSQL PostgreSQL

40h

Organize your data for visualization

Deepen your understanding of ETL, ELT, and ETLT processes with Airflow and DBT. Prepare your Data for various data visualization tools and orchestrate your Docker-created containers with Kubernetes.

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:

Kubernetes Kubernetes
SQL SQL
dbt dbt
Airflow Airflow

40h

Optimize data workloads of any size

Learn to manage larger workloads and data transfers, explore the realm of streaming data at scale, and grasp the essential aspects of logging and monitoring.

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:

Pub/Sub Pub/Sub
Apache Spark Apache Spark
Dataflow Dataflow

40h

Conduct a comprehensive project

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.

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!

From the moment you embark on your tech journey, our dedicated career services team is there to provide you with tailored guidance throughout and beyond your training. Connect with our vast network of 1000+ hiring partners, benefit from 1:1 coaching and much more!

  • 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

Certification

Get certified with the RNCP 6 AI and Data developer title, level Bac +¾

After the program, you will validate two blocs of the title "Artificial Intelligence Developer" (RNCP certified - level 6 EUR, equivalent to Bac +3/4) which you can put forward to recruiters.

Online LATAM certification
Learning Schedule

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.

Le Wagon's students learning on campus

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

Le Wagon's students learning online

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

our method

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

Web development students

Meet our course creators and data engineering experts

The top tech recruiters choose Le Wagon graduates

  • Matias   Karlsson working at Tuten
    quote
    We really enjoy working with Le Wagon graduates. We are looking forward to recruiting graduates from future batches!
    Tuten

    Matias Karlsson

    CTO & Co Founder - Tuten

  • Quitterie Mathelin-Moreaux working at Skello
    quote
    Most of our developers and product managers come from Le Wagon! Le Wagon has become a key strategic partner helping Skello to hire great tech talent.
    Skello

    Quitterie Mathelin-Moreaux

    CEO - Skello

  • Simon Baldeyrou working at Getaround Europe
    quote
    We've hired more than 20 Le Wagon graduates in various engineering, product and data roles. We really value their strong tech foundations and ability to learn fast.
    Getaround Europe

    Simon Baldeyrou

    CEO - Getaround Europe

  • Nicolas  Kennedy working at MVP Builders
    quote
    Un 80% de nuestros devs son de Le Wagon y todos tienen dos cosas en común que para nosotros son claves: mucho conocimiento adquirido y mucha motivación por seguir creciendo. Es mucho más simple construir con una base de talento tan sólida.
    MVP Builders

    Nicolas Kennedy

    Co- Founder - MVP Builders

  • Ignacio Grondona working at Eagerworks
    quote
    Nuestros colaboradores egresados de Le Wagon han sido una gran incorporación al equipo de Eagerworks, no solo por su sólida formación técnica, sino por el fit cultural entre ambas empresas.
    Eagerworks

    Ignacio Grondona

    Technical Leader - Eagerworks

  • Matias   Karlsson working at Tuten
    quote
    We really enjoy working with Le Wagon graduates. We are looking forward to recruiting graduates from future batches!
    Tuten

    Matias Karlsson

    CTO & Co Founder - Tuten

  • Quitterie Mathelin-Moreaux working at Skello
    quote
    Most of our developers and product managers come from Le Wagon! Le Wagon has become a key strategic partner helping Skello to hire great tech talent.
    Skello

    Quitterie Mathelin-Moreaux

    CEO - Skello

  • Simon Baldeyrou working at Getaround Europe
    quote
    We've hired more than 20 Le Wagon graduates in various engineering, product and data roles. We really value their strong tech foundations and ability to learn fast.
    Getaround Europe

    Simon Baldeyrou

    CEO - Getaround Europe

  • Nicolas  Kennedy working at MVP Builders
    quote
    Un 80% de nuestros devs son de Le Wagon y todos tienen dos cosas en común que para nosotros son claves: mucho conocimiento adquirido y mucha motivación por seguir creciendo. Es mucho más simple construir con una base de talento tan sólida.
    MVP Builders

    Nicolas Kennedy

    Co- Founder - MVP Builders

  • Ignacio Grondona working at Eagerworks
    quote
    Nuestros colaboradores egresados de Le Wagon han sido una gran incorporación al equipo de Eagerworks, no solo por su sólida formación técnica, sino por el fit cultural entre ambas empresas.
    Eagerworks

    Ignacio Grondona

    Technical Leader - Eagerworks

Want to learn more about our Data Engineering bootcamp?

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Understand the goal of the bootcamp

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Get our syllabus week by week

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Understand our methodology

Download our Data Engineering syllabus

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job-ready portfolio

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

Nicolas Jonckheere Doha  Kaddaf Maria Kosyuchenko Apolline Jauffret
Data Engineering students
May 2024

LinkedIn job market trend analysis

Alexandre Valentin Alexandre Canacaris Wadiae Lakhlili Sifat Khan
Data Engineering students
May 2024
Career services

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 services

1000+

hiring partners

86%

*

employment rate

100+

countries with alumni presence

*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.

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 in Online LATAM?

The position of Data Engineer is listed among the fastest-growing jobs on LinkedIn in France, the UK, Germany, Spain... Data Engineers are among the most sought-after professionals of the moment.
Data engineering salaries can vary depending on your seniority, location or the sector you work in. Find out more about Data Engineers' salaries.


Here’s why people like you choose Le Wagon

Upcoming sessions

Join our next session in Online LATAM or online

Learn in person or online, full-time or part-time.
Choose the format that suits you.

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Financing

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.

See financing options
Admission advisor at Le Wagon

We can help you get financed through different options

  • Student loans
  • Public funding & scholarships
Admission

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.

1

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.

2

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.

3

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.

4

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.

Gheeta Bheema Aleksandra Mrozowska Tiphaine James Fernando Americano

Book a free call with our advisors

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Discuss your career

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Decide which course is the best for you

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Explore our methodology

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FAQ

Your questions answered

Here’s what you need to know about technical prerequisites for each bootcamp: 
  • Web Development: No technical background is required. We look for motivated, curious, and social students. If this describes you, you’re ready to apply and complete the selection process. 
  • Data Science & AI: Requires basic programming and math knowledge: 
    • Programming: Familiarity with data types, conditions, loops, functions, and data structures (arrays and dictionaries) in any language like Python, Ruby, or JavaScript. 
    • Mathematics: Comfort with high school-level functions, derivatives, and linear equations. We provide pre-bootcamp resources to help you brush up on linear algebra and statistics. 
  • Data Analytics: Beginner-friendly, with no prerequisites beyond motivation to start your tech journey. 
  • Data Engineering: Beneficial to have foundational skills in programming, databases, and data infrastructure. Successful data engineers often blend these technical skills with strong soft skills to solve complex data challenges. This bootcamp provides hands-on training to help you build or deepen these skills, whether you’re starting fresh or seeking advanced expertise.

Yes, Le Wagon’s online bootcamps are eligible to be fully or partially funded, depending on your country of residence and if you meet the criteria for funding support. To find out what options are available, simply select your country on our Bootcamp Financing Options page. If you have multiple funding options, our admissions team will assist you in choosing the best one during your admissions interview. If you have any questions or need more information about local funding options, feel free to reach out to our admissions team at online@lewagon.org.

The bootcamp is primarily taught in English in most cities. In French cities, the program is conducted in French, with morning lectures and evening live-coding sessions in French, so fluency is necessary to attend in France. In some locations like São Paulo, Shanghai, Chengdu, and Tokyo, sessions are available in local languages (Brazilian Portuguese, Chinese, Japanese). You can verify the language of upcoming batches on the "Apply" page. Regardless of the teaching language, all challenge instructions and documentation are provided in English, so a minimum B2 level in written English is essential for all students. 

To apply for a course, start by completing the application form on the Le Wagon website. You’ll need to specify details like your chosen course, preferred format (online or on-campus), city, and your motivation for joining. Once you submit the form, a member of the Le Wagon admissions team will reach out to schedule an interview to discuss your goals and fit for the program.

Le Wagon offers a Part-Time learning option designed to fit around your work commitments, requiring around 16 hours study per week. This flexible program combines pre-recorded, on-demand lectures with live teaching sessions, allowing you to learn from home. Ideal for balancing work and life, the part-time bootcamp provides the same collaborative environment as the full-time course, with access to expert instructors, teaching assistants and a supportive student community.

Applying to Le Wagon's Data Engineering course is straightforward: 
  1. Verify prerequisites: This bootcamp is designed for those with prior experience in development or data, so make sure you have a solid foundation in Python and SQL before applying. 
  2. Choose your course and format: Select the Data Engineering course and decide between full-time or part-time study options. 
  3. Select your location: Pick the city where you'd like to attend the course. 
  4. Complete the application form: Provide a brief introduction explaining your motivation to join Le Wagon and share details about any personal projects, if applicable. You can find the application form on our website. 
After submitting your application, our admissions team will review it and guide you through the next steps. We look forward to learning more about your aspirations and how we can support your journey into Data Engineering.