🚀 Think you’ve got what it takes for a career in Data? Find out in just one minute!
Earn a recognized certification, receive dedicated support until you’re hired, and secure a flexible ETL developer job in high demand.
Throughout your ETL Developer training, you will carry out a 50-hour project.
The objective: apply what you’ve learned to a real project (which you can choose!) and benefit from a first concrete experience to add to your portfolio.
Combining flexible learning on a platform and Masterclasses led by a Data Scientist, this mix has attracted more than 6000 alumni, and gives our training courses a completion rate of +98%!
Our teaching method is based on learning by doing:
An ETL Developer designs and manages data pipelines to extract, transform, and load data from various sources. He/ she optimizes data workflows, ensures data quality, and uses ETL tools to support business intelligence and decision-making.
Collect and integrate data from multiple sources.
Clean, structure, and optimize data for analysis.
Store processed data in data warehouses or databases.
Ensure performance, reliability, and scalability of data pipelines.
A user-friendly, comprehensive interface for a tailor-made learning experience. An enhanced platform and premium coaching.
If you live in France, you can benefit from several financing options:
Don’t hesitate to make an appointment with one of our advisors to find the funding that best suits you!
If you are living in Germany you have multiple ways to finance your training courses depending on your professional situation.
Employees:
Your company may also be able to benefit from the Qualifizierungschancengesetz and get funding from the state.
Unemployed, job seekers, self-employed or students:
Get more information about the process and the next steps by downloading our Bildungsgutschein guide.
The DataScientest team will help you find the best funding for your personal circumstances.
Different types of financing can be applied depending on your current situation:
For further information, please check this page and book an appointment with our team.
Data engineering jobs are constantly evolving, making it essential to define each role to better understand companies’ current expectations and align training with hiring opportunities.
Among them is the ETL Developer, a profession in high demand. Have a look at our blog to learn about the required skills, tools & technologies, career prospects, and salary expectations.
Patricia Jan, Data Scientist and alumni of DataScientest, tells you today in a video about her experience of further training and how data plays a role in her everyday life!
🎉 Would you also like to get started with one of our courses? New courses start every month and good news: We’ve just launched the DevOps course to extend our Data Science trainings!
New technologies have evolved to generate an astronomical amount of data. One of the primary sources? Businesses. Their challenge now is to efficiently collect, transform, and integrate this data for strategic decision-making. To meet this need, new professions have emerged—among them, the ETL Developer, a key role in the Data Engineering field that ensures seamless data flow across systems.
To better identify the most important skills for an ETL Developer in 2024, we interviewed 25 Data Managers from leading CAC 40 companies (Crédit Agricole, BNP Paribas, AXA, etc.).
Among the most sought-after ETL Developer skills, they prioritized:
✅ Data integration and processing
✅ SQL and database management
✅ ETL tools (Talend, Informatica, SSIS, etc.)
✅ Cloud platforms and big data technologies
✅ Soft skills: problem-solving, communication, and business understanding
The goal of an ETL Developer is to master these skills, ensuring efficient, reliable, and scalable data workflows. The best way to achieve this? A specialized training program that provides hands-on experience and industry-relevant expertise.
Discover the ETL Developer profession in depth: missions, key skills, career prospects, and salary expectations. Or check out our dedicated blog article by clicking here.
Once registered on the site, a member of our teams will contact you to discuss your background and your professional project. This is to ensure that the training you want to follow is consistent with your expectations.
Before starting training, you will have to pass a technical positioning test. It covers mathematical notions of probability/statistics and basic algebra (level L1/L2 mathematics).
Then, a member of our admissions team contacts you to communicate the results and discuss your motivations and the relevance of your project. So far, there is no commitment with DataScientest and you can therefore decide at any time not to continue your steps.
The registration phase only begins once the project has been confirmed. From that moment, our teams take care of starting your ETL Developer bootcamp or your continuous education and organizing it with you in all its practical aspects, whether it is continuing professional training or in bootcamp format.
To combine flexibility and motivation, DataScientest’s pedagogy is based on hybrid professional training. This makes it possible to combine flexibility and rigor without compromising on one or the other. A 100% distance training combining synchronous (masterclass) and asynchronous times (courses and exercises on the ready-to-code platform) so that motivation is always there. This translates into 85% learning on the coached platform and 15% masterclass session by videoconference.
The courses are given by videoconference but the follow-up remains the same with teachers available and attentive to your progress throughout your training.
By the end of our ETL Developer training, you will be able to:
✅ Design and optimize ETL pipelines for seamless data integration.
✅ Work with SQL & NoSQL databases to manage and query large datasets.
✅ Automate workflows using tools like Airflow and PySpark.
✅ Ensure data quality and performance through validation and optimization.
✅ Leverage cloud-based data warehousing with Snowflake and BigQuery.
✅ Transform data into insights using BI tools like Power BI and Tableau.
🚀 Start your journey as an ETL Developer today!
To enroll, you should have:
✅ Experience in Data Analysis or IT (Data Analyst)
✅ Knowledge of SQL and a programming language (Python, Java, or Scala)
✅ Familiarity with databases and cloud technologies
✅ A computer with internet access and a webcam
These requirements ensure you can fully grasp ETL concepts and succeed in the training. 🚀 Start your journey today!
🚀 Designed by Experts: Our program is created entirely by data engineering professionals in collaboration with major European companies. We do not use external providers or pre-made content.
📚 Comprehensive Curriculum: The course covers Python, SQL, Data Integration, Cloud Data Warehousing, ETL Automation (Airflow, PySpark), and Business Intelligence (Power BI, Tableau).
⏳ 200 Hours of training:
Part-time format: 13 hours per week
The assessment of the results is done through the implementation of an evaluation procedure, allowing to determine if the learner has acquired the necessary skills for the role of ETL Developer.
There are two aspects evaluated by the educational team:
Professional role-playing incorporating the development of a project with an estimated duration of 50 hours.
Online practical cases to regularly evaluate your skills.
By completing this training, you’ll master key areas of ETL development:
🔹 Programming Basics: Write Python scripts, clean and transform data, manage missing values, and connect to APIs.
🔹 Data Integration: Use Linux commands, unify data from various sources, and manage projects with Git.
🔹 Data Warehousing: Store and analyse SQL data in Snowflake, and deploy ETL workflows.
🔹 High-Performance Analytics: Process large data with PySpark, automate pipelines, and solve business data problems.
🔹 Business Intelligence: Create data visualizations and develop BI solutions using Tableau.
Complete the course and earn your certification! Ready to start your ETL journey?
Throughout your training, and as your skills develop, you will conduct an ETL Developer project.
You will carry out a project in group with other members of your class. Our topics are updated monthly and are inspired by the work we do in companies. You can also propose a personal project, as long as the data is accessible, and our teaching team validates it.
Obviously this adds difficulty and also realism to make you fully operational: uncleaned data, untrained models, but our teachers are there to help you at each step of this project.
It is an extremely effective way to move from theory to practice and to ensure that you apply the topics discussed in class.
It is also a project that is highly appreciated by companies because it ensures the quality of the training and the knowledge acquired at the end of the ETL Developer training. Skills that are not only technical, since soft-skills are also highlighted:
In short, this is a project that will require a real investment: one third of your time spent on the training will be spent on the project.
Each major step highlights a new aspect covered in the course. The project is supervised by a project mentor to guide and coach you.
Our certification is issued by The Sorbonne University in Paris. By completing our ETL Developer training, you will receive an official certificate of the French university, Paris-Sorbonne. This will greatly enhance your resume for future job applications.
To find all the financing possibilities, nothing could be simpler: we have created a page dedicated to the subject !
If you want to know how to make architectural decisions in accordance with AWS, this is the certification for you! Earn the status of “AWS Certified Solutions Architect Associate”.
Mastering data is a valuable skill across many industries. As businesses increasingly rely on data-driven decisions, ETL expertise opens doors to new opportunities, enhances problem-solving abilities, and boosts career growth—whether you’re in finance, marketing, operations, or IT. This training equips you with essential data skills to drive business transformation and innovation.
A Junior ETL Developer earns between €40,000 and €50,000 per year, depending on the industry and company.
With 3+ years of experience, salaries rise to €55,000–€65,000, while senior ETL developers with advanced skills can earn €70,000–€80,000+ annually.
Sources: GermanTechJobs.de, SalaryExpert.com. 🚀
If we refer to the Data managers of the big CAC 40 groups, it is more important for a Data Analyst to know how to communicate in writing and orally, than to master the company’s own business.
Therefore, we have integrated into our curriculum modules that allow you to practice these soft skills with :
Oral presentations of the project, which allow developing these skills.
Masterclasses dedicated to project management and the interpretation of results.
Newsletters developed by our data scientists are sent regularly and are a reliable source of specialized data science information.
At the same time, the DataScientest community continues to grow, and with it all of its alumni.
To keep in touch and allow former students to communicate with each other, DataScientest has set up a group of alumni on LinkedIn who share and discuss various themes around Data Science.
Questions, tips, and technology news are shared on this page for the benefit of all. You will be invited to join it at the beginning of your training. Also on the agenda: are business opportunities, networking, and events (trade shows, Data Challenges…).
This has made it possible to create strong links with the major groups, which have ensured the growth of our structure.
Initially, DataScientest supported the data transition of companies. This has made it possible to create strong links with the major groups which have ensured the growth of our structure.
Thanks to our experience with large companies, we regularly organize recruitment fairs for all our students and alumni with our partner companies.
New technologies have evolved to generate an astronomical amount of data. One of the primary sources? Businesses. Their challenge now is to efficiently collect, transform, and integrate this data for strategic decision-making. To meet this need, new professions have emerged—among them, the ETL Developer, a key role in the Data Engineering field that ensures seamless data flow across systems.
To better identify the most important skills for an ETL Developer in 2024, we interviewed 25 Data Managers from leading CAC 40 companies (Crédit Agricole, BNP Paribas, AXA, etc.).
Among the most sought-after ETL Developer skills, they prioritized:
✅ Data integration and processing
✅ SQL and database management
✅ ETL tools (Talend, Informatica, SSIS, etc.)
✅ Cloud platforms and big data technologies
✅ Soft skills: problem-solving, communication, and business understanding
The goal of an ETL Developer is to master these skills, ensuring efficient, reliable, and scalable data workflows. The best way to achieve this? A specialized training program that provides hands-on experience and industry-relevant expertise.
Discover the ETL Developer profession in depth: missions, key skills, career prospects, and salary expectations. Or check out our dedicated blog article by clicking here.
Once registered on the site, a member of our teams will contact you to discuss your background and your professional project. This is to ensure that the training you want to follow is consistent with your expectations.
Before starting training, you will have to pass a technical positioning test. It covers mathematical notions of probability/statistics and basic algebra (level L1/L2 mathematics).
Then, a member of our admissions team contacts you to communicate the results and discuss your motivations and the relevance of your project. So far, there is no commitment with DataScientest and you can therefore decide at any time not to continue your steps.
The registration phase only begins once the project has been confirmed. From that moment, our teams take care of starting your ETL Developer bootcamp or your continuous education and organizing it with you in all its practical aspects, whether it is continuing professional training or in bootcamp format.
To combine flexibility and motivation, DataScientest’s pedagogy is based on hybrid professional training. This makes it possible to combine flexibility and rigor without compromising on one or the other. A 100% distance training combining synchronous (masterclass) and asynchronous times (courses and exercises on the ready-to-code platform) so that motivation is always there. This translates into 85% learning on the coached platform and 15% masterclass session by videoconference.
The courses are given by videoconference but the follow-up remains the same with teachers available and attentive to your progress throughout your training.
By the end of our ETL Developer training, you will be able to:
✅ Design and optimize ETL pipelines for seamless data integration.
✅ Work with SQL & NoSQL databases to manage and query large datasets.
✅ Automate workflows using tools like Airflow and PySpark.
✅ Ensure data quality and performance through validation and optimization.
✅ Leverage cloud-based data warehousing with Snowflake and BigQuery.
✅ Transform data into insights using BI tools like Power BI and Tableau.
🚀 Start your journey as an ETL Developer today!
To enroll, you should have:
✅ Experience in Data Analysis or IT (Data Analyst)
✅ Knowledge of SQL and a programming language (Python, Java, or Scala)
✅ Familiarity with databases and cloud technologies
✅ A computer with internet access and a webcam
These requirements ensure you can fully grasp ETL concepts and succeed in the training. 🚀 Start your journey today!
🚀 Designed by Experts: Our program is created entirely by data engineering professionals in collaboration with major European companies. We do not use external providers or pre-made content.
📚 Comprehensive Curriculum: The course covers Python, SQL, Data Integration, Cloud Data Warehousing, ETL Automation (Airflow, PySpark), and Business Intelligence (Power BI, Tableau).
⏳ 200 Hours of training:
Part-time format: 13 hours per week
The assessment of the results is done through the implementation of an evaluation procedure, allowing to determine if the learner has acquired the necessary skills for the role of ETL Developer.
There are two aspects evaluated by the educational team:
Professional role-playing incorporating the development of a project with an estimated duration of 50 hours.
Online practical cases to regularly evaluate your skills.
By completing this training, you’ll master key areas of ETL development:
🔹 Programming Basics: Write Python scripts, clean and transform data, manage missing values, and connect to APIs.
🔹 Data Integration: Use Linux commands, unify data from various sources, and manage projects with Git.
🔹 Data Warehousing: Store and analyse SQL data in Snowflake, and deploy ETL workflows.
🔹 High-Performance Analytics: Process large data with PySpark, automate pipelines, and solve business data problems.
🔹 Business Intelligence: Create data visualizations and develop BI solutions using Tableau.
Complete the course and earn your certification! Ready to start your ETL journey?
Throughout your training, and as your skills develop, you will conduct an ETL Developer project.
You will carry out a project in group with other members of your class. Our topics are updated monthly and are inspired by the work we do in companies. You can also propose a personal project, as long as the data is accessible, and our teaching team validates it.
Obviously this adds difficulty and also realism to make you fully operational: uncleaned data, untrained models, but our teachers are there to help you at each step of this project.
It is an extremely effective way to move from theory to practice and to ensure that you apply the topics discussed in class.
It is also a project that is highly appreciated by companies because it ensures the quality of the training and the knowledge acquired at the end of the ETL Developer training. Skills that are not only technical, since soft-skills are also highlighted:
In short, this is a project that will require a real investment: one third of your time spent on the training will be spent on the project.
Each major step highlights a new aspect covered in the course. The project is supervised by a project mentor to guide and coach you.
Our certification is issued by The Sorbonne University in Paris. By completing our ETL Developer training, you will receive an official certificate of the French university, Paris-Sorbonne. This will greatly enhance your resume for future job applications.
To find all the financing possibilities, nothing could be simpler: we have created a page dedicated to the subject !
If you want to know how to make architectural decisions in accordance with AWS, this is the certification for you! Earn the status of “AWS Certified Solutions Architect Associate”.
Mastering data is a valuable skill across many industries. As businesses increasingly rely on data-driven decisions, ETL expertise opens doors to new opportunities, enhances problem-solving abilities, and boosts career growth—whether you’re in finance, marketing, operations, or IT. This training equips you with essential data skills to drive business transformation and innovation.
A Junior ETL Developer earns between €40,000 and €50,000 per year, depending on the industry and company.
With 3+ years of experience, salaries rise to €55,000–€65,000, while senior ETL developers with advanced skills can earn €70,000–€80,000+ annually.
Sources: GermanTechJobs.de, SalaryExpert.com. 🚀
If we refer to the Data managers of the big CAC 40 groups, it is more important for a Data Analyst to know how to communicate in writing and orally, than to master the company’s own business.
Therefore, we have integrated into our curriculum modules that allow you to practice these soft skills with :
Oral presentations of the project, which allow developing these skills.
Masterclasses dedicated to project management and the interpretation of results.
Newsletters developed by our data scientists are sent regularly and are a reliable source of specialized data science information.
At the same time, the DataScientest community continues to grow, and with it all of its alumni.
To keep in touch and allow former students to communicate with each other, DataScientest has set up a group of alumni on LinkedIn who share and discuss various themes around Data Science.
Questions, tips, and technology news are shared on this page for the benefit of all. You will be invited to join it at the beginning of your training. Also on the agenda: are business opportunities, networking, and events (trade shows, Data Challenges…).
This has made it possible to create strong links with the major groups, which have ensured the growth of our structure.
Initially, DataScientest supported the data transition of companies. This has made it possible to create strong links with the major groups which have ensured the growth of our structure.
Thanks to our experience with large companies, we regularly organize recruitment fairs for all our students and alumni with our partner companies.
Want to learn more about our training ?
