Find your next tech and IT Job or contract Data Developer (BI / Big Data / Data Engineer)

The DATA engineer establishes, develops and arranges IT tools and foundations corresponding to data analysis by DATA Scientist teams. He prepares the architecture to receive data. In summary, he creates large data pools to store and test them. This allows DATA Scientists to perform their work under good conditions. The DATA engineer manages large-scale database processing systems. The DATA engineer takes care to offer a solution that guarantees the examination of large volumes of data and ensures their security. He is the first actor in the data processing chain and ensures that everything works correctly. New specialized DATA professions are being created nowadays. To process these large volumes of data stored in platforms, the DATA engineer manages data pipelines and ensures they are well secured and understandable to be studied by DATA analysts then converted by DATA Scientists so they can insert algorithms. The DATA engineer is an expert in data flow development missions and technical languages such as Javascript, Scala or Python.

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Frequently asked questions about working as a Data Developer (BI / Big Data / Data Engineer)

What is the role of a Data Developer (BI / Big Data / Data Engineer)

Data engineering, also called Data Engineer, is one of the Big Data professions. As a reminder, Big Data is a solution that allows everyone to have access to giant databases in real time. The data engineer is therefore one of the key elements in the massive data processing chain for a company. This data specialist handles the definition, development and implementation of tools as well as infrastructures adapted to teams to better analyze data. In short, it's an expert working closest to the data.

How much does a Data Developer (BI / Big Data / Data Engineer) charge

Their salary depends on several factors: the size of the company, its geographical location and the level of responsibilities. An entry-level DATA engineer will have a salary of around £4,500. An experienced DATA engineer's salary will be around £6,500. A Data Engineer receives an average daily rate of 500 euros. This salary will then evolve according to their skills and the company's structure.

What is the definition of a Data Developer (BI / Big Data / Data Engineer)

The data engineer is the primary actor in data. It's a future-oriented profession because we all know today that big data technologies are booming. This is why companies are recruiting heavily in this sector. Analysts, data architects, experts and data engineers... these are some examples of highly sought-after positions nowadays. It's clear that companies need a solid IT foundation to securely store their data. Hence the need to recruit a data engineer to manage this entire network.

What type of mission can a Data Developer (BI / Big Data / Data Engineer) handle

The data engineer is a professional within the company responsible for managing the company's critical data. They handle preparing the structure to properly accommodate the data. They design, build and integrate the firm's data. They must ensure that the data is stored properly and securely. Among their main duties, they also manage processing systems and important databases. They ensure the proper functioning of this data. To summarize, the data engineer develops networks, integrates data and handles its cleaning.

What are the main skills of a Data Developer (BI / Big Data / Data Engineer)

To hold a data engineer position, a wide range of skills is necessary, especially technical ones. Here are some of them... • Know and master modeling tools. • Master the world of web and databases • Have very good coding knowledge (Python, C/C++, Java...) • Know how to master SQL, NoSQL technologies. • Have good expertise in computer science, mathematics and statistics • Master technical English • Know how to communicate (good interpersonal skills)

What is the ideal profile for a Data Developer (BI / Big Data / Data Engineer)

Among the essential qualities for a data engineer, we can cite the following: • Proactiveness • Good interpersonal skills • Rigor • Organizational skills • Quality mindset • Team spirit • Responsiveness • Analytical and synthesis mindset