Senior Data Engineer (fixed-term contract)

About the Company

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 across the region. Sertis is a member firm of Andersen Consulting, integrating business strategy, digital transformation, and AI-driven technology solutions.

Our team of 140+ have developed product offerings and IP ranging from Computer Vision applications accredited Global Top 20 by NIST, to eKYC, automated insights monetization for retailers, AI-driven agricultural safety assurance, precision steel cutting, trading algorithms, and enterprise knowledge management systems.

This role follows a hybrid working arrangement with the client: 3 days per week onsite in the Nonthaburi area. High possibility to be converted to a full-time engineer. Fixed-term contract.

For more information, please visit: sertiscorp.com

Responsibilities

• 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

Qualifications

• 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 to build scalable data pipelines
• Expertise in building data pipelines using tools like Databricks and Airflow
• Strong knowledge of data lake/warehouse architecture (e.g., Snowflake, Redshift, BigQuery, or Delta Lake)
• Advanced Python and 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