In order to become a data engineer, it would require a degree-level knowledge on data, computer science and analytics. A bachelor’s degree in computer science or related IT courses is recommended, like Computer Science, Information Technology, Information Systems, and the like.

Technical Skills: Strong foundation on data analytics and basic understanding of machine learning, IT programming and coding, data warehousing, and knowledge on operating and database systems Soft kills: Critical thinking skills, Communication skills, Problem solving skills, metal earning

By virtue of Republic Act 10931, undergraduate students accepted to SUCs are covered for free tuition and other school fees.

Private University/College average per semester
₱30,000.00 – P70,000.00

Certifications/Training (average)
₱15,000.00

IT-BPM
Manufacturing
PublicAdministration
Compulsory Social Security
Ownership,Dwellingsand
WholesaleandRetail Trade
andDefense
Real Estate

The work of data engineers vary depending on the size of the organization. Generalists often work with small teams. They are responsible for every step of the data process, from management to analysis. Working as a generalist is recommended if you want to transition from data science to data engineering. On the other hand, for mid-size companies, data engineers work alongside data scientists to help make sense of the data they collect. They need in-depth knowledge of distributed systems and computer science. Lastly, larger organizations focus more on managing the flow of data full-time. They mainly focus on analytic databases.

Advancing your career as a data engineer would require certifications such as CP Data Engineer from Cloudera, IBM Certified Data Engineer, Google Certified Professional, and/or earning a master’s or doctorate’s degree in computer science or computer engineering. Data engineers may also move into managerial roles or become a data architect, solutions architect or machine learning engineer.