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career path

Data Engineer Course

Bootcamp (13 weeks)
or
Part-time (9 months)
Get a recognized diploma, support until you are hired and a flexible job that is in high demand.
OUR NEXT ENTRIES ARE:
July 02, 2024
August 06, 2024
September 10, 2024
Sorbonne X Datascientest
Certificate delivered by University La Sorbonne

Training content​

icon

Programming (40h)

  • Python fundamentals
  • Object-oriented Python
  • Linux & Bash
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Database (50h)

  • SQL
  • MongoDB
  • ElasticSearch
  • Neo4j
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CI/CD (20h)

  • Git & Github
  • Quality Assurance
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Big Data Volume (50h)

  • Hadoop & Hive
  • Hbase
  • Spark
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Data Science (50 Std.)

  • Statistics
  • Machine Learning
  • Matplotlib
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Big Data Velocity (20h)

  • Streaming Architecture
  • Kafka
  • Spark Streaming
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Automation and Deployment (60h)

  • APIs
  • Docker
  • Airflow
  • Kubernetes

Throughout your Data Engineer training, you will carry out a 120-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.

The Data Engineer course will provide you with the necessary skills to validate the Microsoft AZ-900 editor certification, on in France the exam is offered to you.

A hybride learning format

Combining flexible learning on a platform and Masterclasses led by a Data Scientist, this mix has attracted more than 10,000 alumni, and gives our training courses a completion rate of +98%!

Our teaching method is based on learning by doing:

  • Practical application: All our training modules include online exercises so that you can implement the concepts developed in the course.
  • Masterclass: For each module, 1 to 2 Masterclasses are organized live with a tutor to address current technologies, methods, and tools in the field of machine learning and data science.

A Data Engineer's missions

A Data Engineer’s mission is to design tools and solutions that will enable the processing and analysis of large volumes of data.

Architecture

Understand an organization’s storage and compute architecture needs.

Programming

Build pipelines for automatic data acquisition and processing.

Deployment

Deploy and adapt Machine Learning models on production servers.

Storage

Define a global Data strategy from acquisition to production, including storage and reprocessing.

Discover Learn, our learning platform

A user-friendly, comprehensive interface for a tailor-made learning experience. An enhanced platform and premium coaching.

Key figures of the training

91%

Success rate

95%

Completion rate

97%

Satisfaction rate

78,7%

Insertion rate

Our goal is to make our courses affordable and open to everyone - regardless of one's current situation. This means we do our best to offer as many financing options as possible.

If you live in France, you can benefit from several financing options:

  • CPF: If you have already worked in France, you may have accumulated a budget allocated for training, which allows you to finance your training via your CPF account
  • Personal financing: It is possible to spread out your payment in several instalments in order to finance your training.
  • Company financing: If you are an employee, you can have your training financed by your company.
  • Pôle Emploi: If you are a job seeker and registered with Pôle Emploi, it is possible to benefit from total or partial financing via Pôle Emploi.
  • Transitions Pro: Do you want to retrain while keeping your job? You can use the system via Transitions Pro.
  • Region: If you are registered with Pôle Emploi, you can also benefit from funding from your region! Several schemes exist that allow you to finance your training.

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:

  • Funding from your employer: You can check with your employer to see if there is a possibility of having your training paid for (totally or partially paying for your training).
  • Payment by installments: If you are unable to pay the entire amount at once, you may be interested in our installment plan (pay the costs over a period of up to 12 months).

Your company may also be able to benefit from the Qualifizierungschancengesetz and get funding from the state.

Unemployed, job seekers, self-employed or students:

  • Bildungsgutschein: If you are looking for work, threatened by unemployment, self-employed or even a student, you have a good chance of receiving an education voucher (Bildungsgutschein). Contact your advisor at the employment agency or the job center and check whether there is a possibility of funding your training course.
  • Self-financing: If you have no chance of receiving the education voucher, you can pay the remaining amount by bank transfer, direct debit or credit car.
  • Payment by installments: If you are unable to pay the entire amount at once, you may be interested in our installment plan (pay the costs over a period of up to 12 months).

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:

  • Fundae: Thanks to our close links with companies and our high employment rate, you can subsidise our courses with Fundae.
  • Pledg: Finance our courses in up to 12 months.
  • Quotanda: Finance the course with Quotanda interest-free (+12 months).
  • Student Finance: You pay nothing until you find a job.

For further information, please check this page and book an appointment with our team.

Would you like to discover the job of a Data Engineer ?

Data science jobs are constantly evolving. It is essential to define each of them in order to better understand companies’ current expectations and thus align training and hiring opportunities.

Among them is the Data Engineer, a profession in full expansion. Find all the information you need by downloading this complete job description: expected skills, tools & technologies, career prospects and salary.

What our alumni say about our DataScientest training courses!

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!

Do you have any questions? We have the answers!

Accordion Content

The role of the Data Engineer falls under engineering. It is therefore an IT developer , whose mission is to set up the collection and provision of data within the company. It is therefore a question of developing tools to manage large volumes of data and to make them accessible and usable to the entire team.

This data is then used by data scientists and data analysts who will give it meaning thanks to their business intelligence skills. In constant contact with customers, data scientists and data analysts, the Data Engineer aims to find the most suitable solution to meet their needs.

According to a survey that we conducted with around fifty Chief Data Officers and managers from 30 CAC 40 companies (Allianz, AXA, BNP, etc.), the missions inherent in the job of Data Engineer are (in a hierarchical order) :

  • Create data pipelines
  • Ensure the maintenance of the Big Data architecture
  • Perform a technological watch on the transport and storage of data sets
  • Provide clean and quality data to Data Scientists
  • Coordinate the implementation of Big Data architecture
  • Design and then industrialize the models

To meet these missions, the Data Engineer calls on several skills including (priority order):

  • Object-oriented programming (Python R Scala)
  • Use of Big Data tools
  • Mastery of IT infrastructures and their performance
  • Data preparation – Knowledge of the main application architectures
  • Understanding of business issues
  • Data Visualization
  • Algorithmic knowledge
  • Machine Learning 
Accordion Content

To be able to access the training system, we advise you to have either a bachelor in mathematics or a master’s degree in a scientific field. It is also required to demonstrate an understanding of the SQL language and Linux systems.

In addition, this job is data-centric, it requires a solid foundation in mathematics and statistics, which will also allow you to more easily grasp new concepts covered during the course. The level will be assessed via a test conditioning the entry into training.

Once registered on the site, our teams will contact you to discuss your journey. The idea is to make sure that the training you want to take is aligned with your expectations .

Following this, a technical test of basic programming skills is submitted to you to position yourself. It is used to define your level at the beginning of the training.

Our admissions team then communicates the results to you and does not hesitate to contact you to discuss your motivations and the good basis of your project.

You are not yet committed to DataScientest and you can decide at any time to stop your steps if you wish.

It is only once the project has been confirmed that your registration phase begins. During this, our teams take care of initiating your training in Data Engineering as well as discussing with you about your professional project in all its aspects.

We have developed a Data Engineer course that is as close as possible to the expectations of the profession. At the end of your course, you will know:

  • Query, manipulate, order and modify a dataset with Python
  • Understand the basics of object- oriented programming (OOP)
  • Understand the architecture of an operating system (like Linux)
  • Master, customize a wide variety of fundamental graphic renderings for Data Visualization
  • Implement a Classic Machine Learning Algorithm
  • Select and optimize a machine learning algorithm
  • Optimally reduce the size of a dataset without losing information
  • Understand the specificities of distributed architectures
  • Read and query relational databases
  • Understand the interest of API development

DataScientest is the only organization to offer hybrid training, combining both synchronous and asynchronous. This translates into 85% learning on the coached platform and 15% masterclass session by videoconference, with the aim of combining flexibility and rigor without compromising on one or the other. It is a carefully considered choice that motivates our pedagogy to allow learning to be carried out with motivation.

It is quite possible to follow the training remotely: face-to-face courses are then replaced by videoconference courses.

However, the follow-up remains the same: the teachers remain attentive and follow you throughout your course.

Continuous monitoring to validate training certifications.

Oral defense and validation of the fil rouge project in front of a jury of professionals.

The validation of the skills developed during our Data Engineer training will allow you to obtain the skills block “deploying an artificial intelligence solution” of the RNCP36129 certification recognized by the State at bac +5 (level 7 European) . This is a strong signal on the job market.

The acquisition of skills is carried out through professional situations and practical cases carried out in a dedicated environment and by the establishment of a continuous control of knowledge.

Several topics are covered in training. Each theme is divided into several modules.

For Data Engineer training, the blocks are:

  • Programming
  • Data Visualization
  • Dataviz – Machine Learning
  • Data base
  • Big Data and DevOps

More details are available in the attached syllabus.

The total duration of a course is 325 hours, in bootcamp format (11 weeks) or continuously (9 months)

Obviously ! And who better to provide support than our teachers, who also designed the program. They are available and attentive to all questions, whether theoretical or practical, and will be able to demonstrate pedagogy in their response. 

In addition, to ensure everyone’s completion and commitment, our teachers follow your progress closely . As soon as you stop logging in for an extended period, your cohort manager will hear from you: we won’t let you down!

Finally, our papers, exams and defenses are also corrected by hand by our panel of qualified teachers: everything is done so that everyone can progress effectively at their own pace. At DataScientest we are convinced that only personalized monitoring ensures quality learning!

According to the Data managers of the major CAC 40 groups, for a Data Engineer, communication, both oral and written, is more important than the company’s business know-how. Therefore, we have adapted our curriculum which now emphasizes these soft skills with:

  • Written and oral defenses of the project
  • MasterClass around project management or management tools that are now part of the syllabus
  • MasterClasses on “best practices in data visualization” which complete the course – For those who wish, the possibility of participating in CV workshops and career coaching via careers managers and the DataScientest HR team.

Like our Data Scientist training, our Data Engineer training has the academic certification of University Sorbonne.

You can therefore benefit from the recognition of a world-class school in the fields of innovation, mathematics and digital engineering. In addition, as a B2B leader in data science training, DataScientest enjoys a great reputation among companies that entrust it with the data science training of their teams. A fortiori, this confidence forges the recognition of one’s diplomas.

The validation of the skills developed during our Data Engineer training will allow you to obtain the skills block “deploying an artificial intelligence solution” of the RNCP36129 certification recognized by the State at bac +5 (level 7 European). This is a strong signal on the job market.

To find all the financing possibilities, nothing could be simpler: we have created a page dedicated to the subject ! 

Accordion Content

Training in data science means opening up new fields of opportunity! A large part of the professions carrying out quantitative analyzes (researcher, actuary, etc.) are based on statistics and require mastery of data. Acquiring this field of skills thus gives access to new opportunities.

After his training, the Data Engineer can also follow a training to become a Data Scientist, training also available on DataScientest.com. To discover it, click here !

Then, after a few years of experience, he will have the opportunity to progress to the position of IT director.

To answer this question, we conducted our own survey of Chief Data Officers of CAC 40 companies in around forty partner companies. To discover the details of the survey, as well as the remuneration of data science professions, discover this article !

The salary of a Junior Data Engineer varies between 40 and 50,000€ per year. Once promoted to Senior, his salary will rise to 50,000 or even more than 60,000€ per year.

According to the study conducted among all our learners of the Data Engineer course, 93% of them found a job immediately after their training.
Accordion Content

Beta tests are available for our alumni in order to gain data knowledge even after the end of the training. 

In parallel, newsletters drawn up by our data scientists are regularly sent and are a reliable source of specialized information in data science. 

Finally, 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.

The  DatAlumni community  is a  LinkedIn community  that brings together DataScientest alumni. On this page, questions, tips and technology news are shared for everyone’s benefit. 

In addition to this, DataScientest will launch in the coming weeks a trombinoscope which will put alumni in contact, this one will include the company and the position of each one.

Initially, DataScientest supported the data transition of companies . This has made it possible to create strong links between the major groups which have ensured the growth of our structure . 

Subsequently, they are the ones who motivated the launch of our offer to individuals in order to compensate for the lack of competent profiles. This need for good profiles is reflected in the survey we conducted among 30 CAC 40 groups . Even if they had tight budget constraints, only 4% believe they would downsize their data scientist workforce; by comparison, 28% would still seek to increase their number by more than 20%

With our experience with large companies, we regularly organize recruitment fairs with our partner companies, addressed to all our students and alumni.

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

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 appointment individually with one of them in order to accompany you and answer any questions you may have about your career plan.

In addition to this, career workshops are organized every month:

  • A workshop to help you write a good CV and data-oriented Linkedin
  • A workshop to help you strategize your job search with different topics on presentation, career change, salary negotiation and technical test training.

 

In addition to these subjects, there are other workshops to be defined according to individual needs. On the other hand, concrete actions are implemented to support you in your job search: recruitment fair organized by DataScientest with its partner companies, organization of Webinars with data experts, communication actions to boost your visibility (CV competition, DataDays, project articles published on the blog and external reference media). 

To find out about all of DataScientest’s career support actions, click on this link .

The job
Accordion Content

The role of the Data Engineer falls under engineering. It is therefore an IT developer , whose mission is to set up the collection and provision of data within the company. It is therefore a question of developing tools to manage large volumes of data and to make them accessible and usable to the entire team.

This data is then used by data scientists and data analysts who will give it meaning thanks to their business intelligence skills. In constant contact with customers, data scientists and data analysts, the Data Engineer aims to find the most suitable solution to meet their needs.

According to a survey that we conducted with around fifty Chief Data Officers and managers from 30 CAC 40 companies (Allianz, AXA, BNP, etc.), the missions inherent in the job of Data Engineer are (in a hierarchical order) :

  • Create data pipelines
  • Ensure the maintenance of the Big Data architecture
  • Perform a technological watch on the transport and storage of data sets
  • Provide clean and quality data to Data Scientists
  • Coordinate the implementation of Big Data architecture
  • Design and then industrialize the models

To meet these missions, the Data Engineer calls on several skills including (priority order):

  • Object-oriented programming (Python R Scala)
  • Use of Big Data tools
  • Mastery of IT infrastructures and their performance
  • Data preparation – Knowledge of the main application architectures
  • Understanding of business issues
  • Data Visualization
  • Algorithmic knowledge
  • Machine Learning 
Key information
Accordion Content

To be able to access the training system, we advise you to have either a bachelor in mathematics or a master’s degree in a scientific field. It is also required to demonstrate an understanding of the SQL language and Linux systems.

In addition, this job is data-centric, it requires a solid foundation in mathematics and statistics, which will also allow you to more easily grasp new concepts covered during the course. The level will be assessed via a test conditioning the entry into training.

Once registered on the site, our teams will contact you to discuss your journey. The idea is to make sure that the training you want to take is aligned with your expectations .

Following this, a technical test of basic programming skills is submitted to you to position yourself. It is used to define your level at the beginning of the training.

Our admissions team then communicates the results to you and does not hesitate to contact you to discuss your motivations and the good basis of your project.

You are not yet committed to DataScientest and you can decide at any time to stop your steps if you wish.

It is only once the project has been confirmed that your registration phase begins. During this, our teams take care of initiating your training in Data Engineering as well as discussing with you about your professional project in all its aspects.

We have developed a Data Engineer course that is as close as possible to the expectations of the profession. At the end of your course, you will know:

  • Query, manipulate, order and modify a dataset with Python
  • Understand the basics of object- oriented programming (OOP)
  • Understand the architecture of an operating system (like Linux)
  • Master, customize a wide variety of fundamental graphic renderings for Data Visualization
  • Implement a Classic Machine Learning Algorithm
  • Select and optimize a machine learning algorithm
  • Optimally reduce the size of a dataset without losing information
  • Understand the specificities of distributed architectures
  • Read and query relational databases
  • Understand the interest of API development

DataScientest is the only organization to offer hybrid training, combining both synchronous and asynchronous. This translates into 85% learning on the coached platform and 15% masterclass session by videoconference, with the aim of combining flexibility and rigor without compromising on one or the other. It is a carefully considered choice that motivates our pedagogy to allow learning to be carried out with motivation.

It is quite possible to follow the training remotely: face-to-face courses are then replaced by videoconference courses.

However, the follow-up remains the same: the teachers remain attentive and follow you throughout your course.

Continuous monitoring to validate training certifications.

Oral defense and validation of the fil rouge project in front of a jury of professionals.

The validation of the skills developed during our Data Engineer training will allow you to obtain the skills block “deploying an artificial intelligence solution” of the RNCP36129 certification recognized by the State at bac +5 (level 7 European) . This is a strong signal on the job market.

The acquisition of skills is carried out through professional situations and practical cases carried out in a dedicated environment and by the establishment of a continuous control of knowledge.

The courses

Several topics are covered in training. Each theme is divided into several modules.

For Data Engineer training, the blocks are:

  • Programming
  • Data Visualization
  • Dataviz – Machine Learning
  • Data base
  • Big Data and DevOps

More details are available in the attached syllabus.

The total duration of a course is 325 hours, in bootcamp format (11 weeks) or continuously (9 months)

Obviously ! And who better to provide support than our teachers, who also designed the program. They are available and attentive to all questions, whether theoretical or practical, and will be able to demonstrate pedagogy in their response. 

In addition, to ensure everyone’s completion and commitment, our teachers follow your progress closely . As soon as you stop logging in for an extended period, your cohort manager will hear from you: we won’t let you down!

Finally, our papers, exams and defenses are also corrected by hand by our panel of qualified teachers: everything is done so that everyone can progress effectively at their own pace. At DataScientest we are convinced that only personalized monitoring ensures quality learning!

According to the Data managers of the major CAC 40 groups, for a Data Engineer, communication, both oral and written, is more important than the company’s business know-how. Therefore, we have adapted our curriculum which now emphasizes these soft skills with:

  • Written and oral defenses of the project
  • MasterClass around project management or management tools that are now part of the syllabus
  • MasterClasses on “best practices in data visualization” which complete the course – For those who wish, the possibility of participating in CV workshops and career coaching via careers managers and the DataScientest HR team.

Like our Data Scientist training, our Data Engineer training has the academic certification of University Sorbonne.

You can therefore benefit from the recognition of a world-class school in the fields of innovation, mathematics and digital engineering. In addition, as a B2B leader in data science training, DataScientest enjoys a great reputation among companies that entrust it with the data science training of their teams. A fortiori, this confidence forges the recognition of one’s diplomas.

The validation of the skills developed during our Data Engineer training will allow you to obtain the skills block “deploying an artificial intelligence solution” of the RNCP36129 certification recognized by the State at bac +5 (level 7 European). This is a strong signal on the job market.

To find all the financing possibilities, nothing could be simpler: we have created a page dedicated to the subject ! 

The career
Accordion Content

Training in data science means opening up new fields of opportunity! A large part of the professions carrying out quantitative analyzes (researcher, actuary, etc.) are based on statistics and require mastery of data. Acquiring this field of skills thus gives access to new opportunities.

After his training, the Data Engineer can also follow a training to become a Data Scientist, training also available on DataScientest.com. To discover it, click here !

Then, after a few years of experience, he will have the opportunity to progress to the position of IT director.

To answer this question, we conducted our own survey of Chief Data Officers of CAC 40 companies in around forty partner companies. To discover the details of the survey, as well as the remuneration of data science professions, discover this article !

The salary of a Junior Data Engineer varies between 40 and 50,000€ per year. Once promoted to Senior, his salary will rise to 50,000 or even more than 60,000€ per year.

According to the study conducted among all our learners of the Data Engineer course, 93% of them found a job immediately after their training.
Our services
Accordion Content

Beta tests are available for our alumni in order to gain data knowledge even after the end of the training. 

In parallel, newsletters drawn up by our data scientists are regularly sent and are a reliable source of specialized information in data science. 

Finally, 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.

The  DatAlumni community  is a  LinkedIn community  that brings together DataScientest alumni. On this page, questions, tips and technology news are shared for everyone’s benefit. 

In addition to this, DataScientest will launch in the coming weeks a trombinoscope which will put alumni in contact, this one will include the company and the position of each one.

Initially, DataScientest supported the data transition of companies . This has made it possible to create strong links between the major groups which have ensured the growth of our structure . 

Subsequently, they are the ones who motivated the launch of our offer to individuals in order to compensate for the lack of competent profiles. This need for good profiles is reflected in the survey we conducted among 30 CAC 40 groups . Even if they had tight budget constraints, only 4% believe they would downsize their data scientist workforce; by comparison, 28% would still seek to increase their number by more than 20%

With our experience with large companies, we regularly organize recruitment fairs with our partner companies, addressed to all our students and alumni.

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

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 appointment individually with one of them in order to accompany you and answer any questions you may have about your career plan.

In addition to this, career workshops are organized every month:

  • A workshop to help you write a good CV and data-oriented Linkedin
  • A workshop to help you strategize your job search with different topics on presentation, career change, salary negotiation and technical test training.

 

In addition to these subjects, there are other workshops to be defined according to individual needs. On the other hand, concrete actions are implemented to support you in your job search: recruitment fair organized by DataScientest with its partner companies, organization of Webinars with data experts, communication actions to boost your visibility (CV competition, DataDays, project articles published on the blog and external reference media). 

To find out about all of DataScientest’s career support actions, click on this link .

Are you interested?