Data Engineer

Data Engineers are responsible for finding trends in data sets and developing algorithms to help make raw data more useful to the business.


Data Engineers are responsible for finding trends in data sets and developing algorithms to help make raw data more useful to the business. This profession requires a significant set of technical skills, including in-depth knowledge of SQL database design and several programming languages.

Data Engineers are often tasked with creating algorithms to facilitate access to raw data, but in order to do so, they need to understand the business or customer's goals. Having online business goals when working with data is important, especially for companies that manage large and complex datasets and databases.

Data engineers also need to understand how to optimize data retrieval and how to develop dashboards, reports, and other visualizations for stakeholders. Depending on the organization, the Data Engineer may also be responsible for communicating data trends. Large organizations often have multiple Data Scientists or Data Analysts to help understand the data, while small businesses can rely on a Data Engineer to work in both roles.




The Data Engineer is responsible for managing and organizing the data, while keeping an eye out for trends or inconsistencies that will impact business goals. This is a highly technical position, requiring experience and skills in areas such as programming, math and IT. The Data Engineer also needs soft skills to communicate data trends to others in the organization and to help the business use the data they collect. Some of the most common responsibilities for a Data Engineer are:

  • Develop, build, test and maintain architectures
  • Align architecture with business requirements
  • Use programming language and tools
  • Identify ways to improve the reliability, efficiency and quality of data
  • Conduct research on industrial and commercial issues
  • Use large data sets to solve business problems
  • Deploy sophisticated analysis programs, machine learning and statistical methods
  • Prepare data for predictive and prescriptive modeling
  • Use the data to discover tasks that can be automated



The soft skills of a Data Engineer are:

  • Sense of organization
  • Proposal force
  • Rigor and creativity
  • Analytical and synthetic mind
  • Good communication



The path of a Data Engineer may vary according to the profile, but in general the path taken is a higher education in engineering school, computer school or a Master specializing in Data Science or Artificial Intelligence.



Thanks to the diversity of his profile, the Data Engineer can evolve during his career in several positions, but 2 positions are more likely, they are Big Data Architect, or Tech Lead. An evolution in Data Scientist or Data Analyst is also possible



Junior: 46 K € (0 to 2 years of experience)

Confirmed: 60 K € (2+ to 5 years of experience)

Senior: 75 K € (6 years and over)


As a recruitment firm specializing in the French digital sector, we are a privileged witness to salary trends and developments in the Tech professions. As every year, we offer a salary study with the salary ranges for tech professions in Île-de-France and regions.

You can download the full study with the salary ranges for Tech professions in Île-de-France: here and in Regions: here

Ce site utilise des cookies et vous donne le contrôle sur ce que vous souhaitez activer.