ETL Developer Course

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.

The role of an ETL Developer is multifaceted and requires a diverse set of skills:

🔹 Data Extraction, Transformation, and Loading (ETL) – Designing, implementing, and optimizing ETL pipelines to ensure seamless data integration.
🔹 Data Quality & Performance Optimization – Ensuring accuracy, consistency, and efficiency in data processing.
🔹 Collaboration with Data Teams – Working closely with Data Architects, Data Engineers, and Business Analysts to align data workflows with business needs.
🔹 Managing Databases & Cloud Integration – Handling structured and unstructured data storage solutions, whether on-premise or in the cloud.

Depending on the organization’s size and structure, an ETL Developer’s responsibilities may shift, leaning toward data architecture, performance tuning, or automation.

Key ETL Considerations

ETL Developers focus on optimizing data processes through key stages:

✅ Data Extraction – Where does the data come from?
✅ Data Transformation – How should the data be structured and cleaned?
✅ Data Loading – Where and how should the processed data be stored?
✅ Workflow Automation – How can data pipelines be made scalable and efficient?

Would you like to dive deeper into the role of an ETL Developer? Click here! 🚀

🚀 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:
– Bootcamp format: 34 hours per week
– 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:

– Communicating information.
– Presenting and popularizing your work.
– Valuing data through visualizations (especially by creating dashboards).
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.

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.

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”.

Once you have registered on the website, a member of our team 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.

Prior to entering the course, you will have to take a technical placement test. This test covers basic data analysis and statistics.

Then, a member of our admissions team will contact you to communicate the results and discuss your motivations and the relevance of your project. Up to this point, there is no commitment with DataScientest, and you can decide at any time not to proceed.

The registration phase only begins once the project has been confirmed. From that moment on, our teams will organize your ETL Developer bootcamp or continuous training and provide you with information on all its practical aspects.

Access time : Until the day before the start date, subject to availability.

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.

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!

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!

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. 🚀

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.

Once you have registered on the website, a member of our team 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.

Prior to entering the course, you will have to take a technical placement test. This test covers basic data analysis and statistics.

Then, a member of our admissions team will contact you to communicate the results and discuss your motivations and the relevance of your project. Up to this point, there is no commitment with DataScientest, and you can decide at any time not to proceed.

The registration phase only begins once the project has been confirmed. From that moment on, our teams will organize your Data Analyst bootcamp or continuous training and provide you with information on all its practical aspects.
Access time : Until the day before the start date, subject to availability.

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 Data Analyst bootcamp or your continuing education and organizing it with you in all its practical aspects, whether it is continuing professional training or in bootcamp format.

If you are registered with Pôle Emploi, you are potentially eligible for AIF, individual training assistance.

You have the option of paying in 3, 6, 10 or 12 monthly installments. To know the conditions of this payment system, click here. 

To find all the financing possibilities, nothing could be simpler: we have created a page dedicated to the subject! Discover it by clicking here.

On the first day of your training, you will be presented with a platform dedicated to career services, containing all the workshops essential to your job search.

You can access it continuously, even after the end of your training.

Mathilde and Morgane, our career managers, are entirely dedicated to you throughout your training. It is possible to make an individual appointment with one of them to accompany you and answer your questions about your career plan.

Each month :

A full day is organized to help you optimize your job search with different topics on presentation, career change, salary negotiation and technical test training. In addition to these topics, other workshops are organized according to your needs.
You will benefit from a career workshop with the intervention of a senior expert consultant. Different topics to help in the job search are discussed: how to fight the imposter syndrome, how to create a network, how to write a good CV and LinkedIn oriented Data.
Participate in an Alumni Talk. An alumnus speaks to share his experience of training, job search and give you tips.
On the other hand, concrete actions are set up to help you in your job search: the recruitment fair organized by DataScientest with its partner companies, organization of Webinars with data experts, communication actions to boost your visibility (CV contest, DataDays, project articles published on the blog and external reference media).

Finally, you should know that a specific Slack channel has been set up for people looking for a job, on which all the information about workshops and job offers are transmitted.

To learn more about DataScientest’s career support activities, click on this link.

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.