About this role
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
In this role, you will get to:
- Design, build, and maintain scalable and efficient data pipelines and ETL processes
- Develop and implement data models, data warehouses, and data lakes
- Build and maintain pipelines on Google Cloud Platform (GCP), including ingesting and converting files (e.g., CSV/JSON/Parquet) and loading them into BigQuery
- Monitor and optimize the performance of our data infrastructure
- Collaborate with cross-functional teams to identify and gather data requirements
- Ensure data quality and integrity by implementing data validation and cleansing procedures
- Troubleshoot and resolve data-related issues in a timely manner
- Stay up-to-date with new technologies and best practices in data engineering
You’ll be successful if you have:
- At least 3 years of hands-on experience in data engineering
- Hands-on experience with GCP, particularly BigQuery, including building pipelines that convert/transform files and load them into BigQuery
- Proven experience with ETL tools or frameworks (e.g., Airflow, dbt, Informatica, Talend)
- Solid understanding of data warehousing and lakehouse architecture
- Proficient with SQL and one or more programming languages (e.g., Python, Scala)
- Experience working with cloud platforms, GCP preferred; AWS or Azure a plus (e.g., Redshift, Snowflake)
- Comfortable working independently and able to manage priorities in a contract role
- Good command in English is preferred (reading, writing and speaking)
APPLY NOW!
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