4,98/5 - 6,000+ student reviews

Change your career with our data engineering course

Learn with the #1 ranked coding bootcamp
Graduate in 2 to 7 months
Get a tech job in 3 months on average

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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.

Build all elements of a modern data stack
Master cutting-edge containerization techniques
Scale your data organization
Process any type and size of data

You will master these programming languages and tech tools:

Python

Docker

Github

BigQuery

Fivetran

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:

Python

Git

Github

SQL

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:

Python

Docker

Github

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:

BigQuery

SQL

Docker

Fivetran

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:

SQL

DBT

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:

Python

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 build 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!

Meet tech experts working in startups and companies, update your CV and do mock interviews to prepare your job search.

What you will do in practice:

1:1 coaching
Review of CV and cover letter
Technical interviews preparation

LEARNING SCHEDULE

Choose the learning schedule that suits you

Whether you prefer an intensive full-time option or a flexible part-time format, our courses are tailored to you.

Part-time

You want to keep your job or have personal commitments? Learn in your free time.

Graduate in 7 months
Flexible peer-to-peer learning
16 hours of study in total, per week

Full-time

Ready to dive into tech? Join our intensive course. Monday to Friday, 9am to 6pm.

Graduate in 2 months
All day peer-to-peer learning
40 hours of study in total, per week

Upcoming sessions

Join our next session Online

Learn full-time or part-time. Choose the format that suits you.

Pace

Dates

Timezone

Location

Price

Part-time

Sep 21 -> Mar 15

Europe (GMT+2)

Online

5,900€

Book your seat

Full-time

Oct 21 -> Nov 22

Europe (GMT+2)

Online

5,900€

Book your seat

Part-time

Sep 21 -> Mar 15

Europe (GMT+2)

5,900€

Book your seat

Full-time

Oct 21 -> Nov 22

Europe (GMT+2)

5,900€

Book your seat

See more sessions

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.

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.

Apply now

Would you like more details about our Data Engineering course?

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Get our syllabus week by week

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Download our Data Engineering course syllabus

See what our graduates do now

Jérome Drescig

CTO
Felipe Inostroza

Senior Data Scientist
Pavel Liser

Engineering Manager
Raphael Hidalgo

Data Scientist Junior

FAQ

Do you have questions? These answers might help!

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)

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.

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.

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.

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!

Change your career with our data engineering course

25 000

#1

4.98 / 5

90%*

There are financing options available for you

Become a Data Engineer in weeks

What you’ll learn in this data engineering bootcamp

Preparation work

Build the foundation for data engineering

Create a data warehouse

Organize your data for visualization

Optimize data workloads of any size

Conduct a comprehensive project

Start your career in tech!

Choose the learning schedule that suits you

Join our next session Online

How to apply to our data engineering bootcamp

Online Application

30 min informal, non-technical Interview

Online Technical Quiz

Payment options & prepwork

Would you like more details about our Data Engineering course?

Download our Data Engineering course syllabus

See what our graduates do now

Do you have questions? These answers might help!

Do you offer career support?

What language is the bootcamp taught in?

How can I apply to a course?

How to I fit learning around my other commitments, is there a part-time option?

I don't have a technical background, can I apply for the Bootcamp?