Data Engineer

The establishment of Kiatnakin Phatra Financial Group (KKP) brought together knowledge and experience of commercial banking and capital markets businesses. The group comprises of Kiatnakin Phatra Bank PLC, Kiatnakin Phatra Securities PLC, Kiatnakin Phatra Asset Management Co., Ltd., and KKP Dime Securities Co., Ltd. Our goal is to provide top-notch financial services while ensuring maximum benefits for customers, employees, and shareholders, and to contribute to the growth of the nation's financial markets and economy through our products and services, which encompass both money markets and capital markets. KKP is committed to fostering opportunities for success. Here, you will have the chance to learn, develop, and realize your full potential. We believe in providing fulfilling rewards, promoting a fun work environment, and being proud to make a positive impact on society. If you are looking for a work environment that offers you opportunities to grow for a better life, a better workplace, and a better future. Come and join us!

Description

• Design, build, and manage scalable data infrastructures to process and analyze large volumes of data from many business units. 
• Collaborate with stakeholders and build trusted, reliable, innovative data products and insights to meet business needs. 
• Develop an enterprise-grade data platform to minimize the time from question to insight by implementing efficient processes and enabling self-service analytics. 
• Secure our data into a uniform, trusted asset through data protection and privacy, iterating on processes, people, and platforms. 
• Improve data literacy across the KKP organization and build a powerful data-driven culture. 

Qualification

• You have proven experience delivering data solutions from start to finish independently. 
• You have a strong background in at least one of the following: large data processing, software engineering of data infrastructure, or data modeling. 
• You are resilient and have the grit to solve problems regardless of obstacles. 
• You enjoy collaborating with teams to push the boundaries of analytical insights and data products and have good data intuition to build the right solutions. 
• Your work exemplifies good engineering fundamentals, including testable code, efficient development cycles, and excellent documentation.