Data Engineer

Ready to grow together?

ERGO. Grow together.

ERGO Thailand is part of ERGO Group AG, the major insurance group in Germany and Europe, which operates over 20 countries worldwide.

We are committed to build a collaborative, inclusive, and dynamic work environment where everyone can thrive. You will have the opportunity to work in a culture of continuous learning and innovation, where your ideas and contributions will help shape the future of insurance.

Join us in our mission to make insurance easier for everyone. At ERGO Thailand, you are not only fulfill your career but also play a crucial part of this mission. Apply now and GROW TOGETHER.

Your core responsibilities:

• Develop and maintain scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity.
• Collaborate with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization.
• Implement processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
• Write unit/integration tests, contribute to engineering wiki, and document work.
• Perform data analysis required to troubleshoot data related issues and assist in the resolution of data issues.
• Work closely with a team of frontend and backend engineers, product managers, and analysts.
• Design data integrations and data quality framework.

Your profile:

• Bachelor’s degree or higher in IT, MIS, Computer Science, or related field
• 3 years of Python or Java development experience
• 3 years of SQL experience (No-SQL experience is a plus)
• 3 years of experience with schema design and dimensional data modeling
• Ability in managing and communicating data warehouse plans to internal clients
• Experience designing, building, and maintaining data processing systems
• Ability to work collaboratively and innovatively as well as processes-oriented
• Good analytical and problem-solving skill.