Are you job hunting and looking for a profession with good financial prospects, continuous development opportunities, and immediate absorption in the job market?

Does the world of big data and its countless possibilities excite you? 

If you answered yes to the questions above, then the profession of a Data Engineer might be the right fit for you!

What is a Data Engineer?

A Data Engineer is a professional who specializes in managing large volumes of data. 

Their primary concern is preparing data, usually in raw form, by constructing the infrastructure with suitable systems for the subsequent collection and analysis of data by Data Analysts and Data Scientists. 

Some of the basic responsibilities of a Data Engineer include creating:

- Algorithms

- APIs

- Data structures

Ensuring that data is presented in a comprehensible format for systematic business decision-making.

4 Reasons to Become a Data Engineer

   High demand, low supply

Data Engineering is in high demand, as evidenced by various studies. 

According to a Zippia research, the projected job growth rate for Data Engineers is 21% from 2018 to 2028.

Despite the demand, the supply remains low, presenting an opportunity for individuals to stand out, as seen in the DICE Tech Job Report.

   High salaries

Data Engineers receive the highest remuneration among roles in the field of data science. 

Keep in mind however that this also depends on the country, company and experience of each individual.

In Greece, the salary for a Data Engineer ranges from €2,000 to €5,000 per month, depending on the company and of course the seniority.

   In need from companies

More and more companies require Data Engineers to manage the vast amount of data they possess. 

Job opportunities for Data Engineers are constantly opening up in sectors such as marketing, e-commerce, healthcare, and finance.

   Foundation of Other Data Roles

Data Engineers are an integral part of a company's data team, forming the foundation for other roles such as Data Scientists, Data Analysts, and Business Intelligence professionals.

That’s why they should have a good understanding of various Big Data and BI tools, as well as be able to communicate effectively with stakeholders.

Basic Skills of a Data Engineer

   Skill #1: Coding

Proficiency in programming languages, such as Python and SQL, is essential for a successful career as a Data Engineer.

That’s why most positions require good knowledge of them, since they’re popular for their effectiveness in the field of data.

   Skill #2: Data Warehousing

Data Engineers focus on developing ETL processes and managing data warehouses and data lakes, requiring familiarity with various ETL tools for automation and efficiency.

   Skill #3: Database Management

Data Engineers create, test, and maintain database pipeline architectures, necessitating expertise in both relational and non-relational databases.

  Skill #4: Critical Thinking

Analytical thinking and critical problem-solving skills are crucial for Data Engineers who work with complex datasets, addressing issues that may arise with data, such as corrupted data.

After all, apart from hard skills, a Data Engineer will stand out from the crowd by having the right soft skills, since companies pay attention to them.

   Skill #5: Communication Skills

Data Engineers should possess communication skills, teamwork, and collaboration abilities to present their findings in an understandable manner and solve any problems that may arise.

How to Become a Data Engineer

The profession of a Data Engineer offers numerous professional opportunities, job positions, high earnings, and continuous demand. 

If you have decided that Data Engineering is the career path you want to pursue and are unsure how to start, we have the solution. 

Take the next step, apply for participation in the Data Engineering Bootcamp offered here at Big Blue, receive professional guidance, and gain practical knowledge from day one. 

We're waiting for you!