Our Data Engineering Bootcamp is tailor-made for people of diverse backgrounds who want to become successful Data Engineers.
We equip you with the most in-demand skills companies are looking for so you can successfully start your career as a Data Engineer after completing the program.
Data Science positions are becoming increasingly necessary!
250 hours of hands-on training, taught by industry professionals, where you’ll get the chance to apply your knowledge and solve real-world problems.
Build your Github portfolio. At the end, you’ll work as part of a team to create and present an real Data Engineering project.
Connect with companies, professionals and Alumni from our network, and support your career pursuits. Our Career Advisors support you until you get hired.
Start from beginner Python and SQL and become proficient in coding and analyzing data.
You will learn how to connect to remote linux servers, build microservices with Docker. You will create workflows using deployment tools as CI/CD pipelines and data engineering pipelines with Airflow.
You will learn where the heart beats in Data Engineering. From first principles to Data Warehouses and Data Lakes. You will become proficient to handle Big Data with PySpark using real data engineering use cases and how to work in a Data Science team.
Learn to make optimized queries in MongoDB and how to write Python scripts for process automation so you can access data via APIs and webscraping.
You will learn to create dashboards for reporting with Metabase, connect various data sources and make beautiful interactive dashboards.
You will learn modern tools and services to create ETL & ELT workflows to build Data Warehouse and Data Lakes on Microsoft Azure.
At the end you will work on a complex Data Engineering project and present your work.
At BigBlue, we provide you with hands-on training on Data Engineering and other vital aspects of the field, to equip you with the right Data Engineering skills that will allow you to understand the business purpose behind every data-driven decision.
Our Data Engineering Bootcamp's final stage is a Data Challenge where you'll have to prepare an end-to-end project and present it successfully
Hands-on training & practical experience
Discover the business thinking and value behind every data-driven decision
Receive full support along the way from experienced professionals and kickstart your career as Data Engineer
Practice your Data Engineering skills with real-world use cases
250 hours of in-depth applied Data Engineering knowledge
Our experienced tutors are industry-leaders and provide you all the support you need step-by-step
You'll have acess to our extensive hiring network, to support your career!
Our Career Advisors, from the very first week of the program, prepare you (CV, LinkedIn, technical interviews) for the job search and support you until you are hired!
Submit your application.
Tell us about yourself and your motivation to enroll.
We will invite you for a technical interview to evaluate your level of programming in Python.
You are ready to start your journey in Data Engineering. You receive the Prep-Work exercises and you work on them before your first day of the Bootcamp.
What is Data Engineering?
Data Engineering refers to the practice of building systems and processes that allow effective collection and analysis of data, for Data Scientists and Data Analysts to process and present.
Many organizations rely heavily on how easily everyone has access to data. As the data grows and becomes more complex in structure, Data Engineering is one of the most important disciplines inside an organization as it helps to organize, transform and serve data effectively to people inside and outside the organization.
How can I learn Data Engineering?
If you want to learn Data Engineering you can choose between a Data Engineering Bootcamp like BigBlue’s, Data Engineering Courses, or a masters in Data Engineering
In order to get all the knowledge you need, especially from a Data Engineering Bootcamp that will provide you with the necessary theoretical and practical knowledge to start right after the course as a professional.
Data Engineering vs Data Science: What’s the difference?
The role of a Data Scientist is to process and analyze data that will give solutions to business problems using Statistics and Machine Learning, while a Data Engineer develops systems and Data architectures to make Data available and easily accessible which later the Data Scientist will use for their analysis.
What the most important Data Engineering skills to have?
Some of the most important Data Engineering Skills that our Bootcamp will provide you with are: