Job Description

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

This role will follow a hybrid working arrangement with our client, 3 days per week onsite in the Nonthaburi area. High possibility to be converted to our full time engineer.

In This Role, You Will Get To

Design and build scalable, reliable data pipelines (ETL/ELT) for large-scale datasets
Architect and implement modern data platforms using Databricks (Lakehouse, Delta Lake)
Develop robust data processing using Python (PySpark) and SQL
Own end-to-end data workflows: ingestion, transformation, validation, serving
Optimize data pipelines for performance, scalability, and cost efficiency
Define and enforce data engineering best practices, standards, and governance
Collaborate with Data Scientists, Analysts, and Product teams to translate business needs into data solutions
Implement orchestration and scheduling frameworks (e.g., Airflow / Databricks Workflows)
Ensure data quality, reliability, and observability across pipelines
Lead technical discussions and contribute to architecture decisions
Mentor junior engineers and support team capability building

You’ll Be Successful If You Have

Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field
4+ years of hands-on experience in data engineering roles, ideally using Databricks in building scalable data pipelines
Expertise in building data pipelines using tools like Databricks, Airflow
Strong knowledge of data lake/warehouse architecture (e.g., Snowflake, Redshift, BigQuery, or Delta Lake)
Advanced in Python, SQL programming skills
Proven experience working with cloud infrastructure (AWS, GCP, Azure) and managing cloud-native data platforms
Strong problem-solving and communication skills; able to lead data initiatives with minimal supervision
Good command in English

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