Data Engineer (Mid-Level)

Who We Are  

Located in the heart of Bangkok’s Phrom Phong District, Sertis is ASEAN's leading Data and AI engineering and solutions company. Since 2014, our advanced solutions and products have powered over 400 enterprise Data and AI deployments at the region’s leading companies and conglomerates. We are also a member firm of Andersen Consulting, a global consulting practice integrating business strategy, digital transformation, and AI-driven technology solutions with Andersen Global’s world-class expertise.

What We Do  

Sertis provides both productized and bespoke AI and Data solutions for our Customers, optimizing and commercializing their data in ways that activate real business results. Our 140+ team have developed product offerings and IP ranging from advanced Computer Vision applications accredited Global Top 20 by NIST, to automated insights monetization for Retailers, eKYC for financial institutions, AI-driven agricultural safety assurance, precision steel cutting, trading algorithms for hedge funds, and enterprise knowledge management systems based on AI.

Our Aspiration 

We are data and AI pioneers, dedicated to enhancing the economic and social lives of our customers via technology.   We are not just living in history, we are making history everyday.  In becoming one of the world’s leading Data and AI companies, we always double-down on remaining a place where a diverse mix of talent wants to come, do their best work, and stay. We pride ourselves on bringing the best talent worldwide into a culture that encourages learning, growth opportunities, innovative contributions, and a sense of ownership. As part of Andersen Consulting, we are committed to delivering best-in-class Data and AI solutions—aligned with a global platform known for innovation, integration, and impact—while continuing to set benchmarks in the region and beyond.

For more information, please visit: sertiscorp.com

• Collaborate with cross-functional teams to understand data needs and translate them into technical solutions
• Build and maintain scalable ETL/ELT pipelines to ingest, process, and store data from diverse sources (e.g. APIs, SFTP, databases, SAP, GA)
• Ensure data quality, accuracy, and completeness through validation and error handling
• Support and troubleshoot existing data workflows and suggest improvements
• Manage data in cloud-based environments (e.g. AWS, GCP, or Azure)
• Write clean, efficient SQL queries and optimize them for performance
• Document your work to ensure clarity and maintainability

• 2–4 years of experience in data engineering or related fields
• Solid programming skills in Python (preferred), Java, or Scala
• Experience with data lake solutions (e.g. S3, GCS) and warehouse tools (e.g. Redshift, BigQuery, Synapse)
• Experience with orchestration tools (e.g. Airflow, AWS Step Functions, or ADF)
• Familiarity with big data tools like Spark or Hive
• Working knowledge of CI/CD tools (e.g. GitLab CI, GitHub Actions) and infrastructure-as-code tools (e.g. Terraform, CDK)
• Strong analytical and problem-solving skills
• Strong verbal and written communication skills in Thai and English

• Cloud certifications (e.g. GCP Data Engineer, AWS Certified Data Analytics)
• Exposure to containerization tools like Docker
• Understanding of PDPA or other data regulations
• Experience working in Agile teams

What are some benefits working at Sertis? 

• Hybrid working environment, up early or slow starter in the morning? We have flexible office hours
• Get to work and learn from the best in the industry, and share your ideas with like-minded individuals
• ​We cultivate intelligence and learning so that our experts can become community leaders in their respected fields in the tech industry
• Amazing colleagues to enjoy company social outings, parties, and events
• Result-oriented workplace; We provide direction, not orders and give you the autonomy to deliver your best work
• We work at the frontier of innovation in the AI industry
• Work on meaningful solutions that solve and improve real-life problems and challenges
• We run like a startup, and embrace the adventure; we focus on getting things done, while still having a down-to-earth and informal culture

​This is your chance to build your career in a growing data-driven and AI industry. 

APPLY NOW!

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