Data Engineer (12-month contract basis) at Sertis

Bangkok, , Thailand -

Full Time

Start Date

Immediate

Expiry Date

07 Jun, 26

Salary

0.0

Posted On

09 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

ETL/ELT Pipelines, Spark, Databricks, PySpark, Data Processing Workflows, Data Lake, Lakehouse Architectures, Data Quality, SQL, Python, Scala, AWS, GCP, Azure, Airflow, dbt

Industry

IT Services and IT Consulting

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 Sathorn/Silom area. High possibility to be converted to our full time engineer. In this role, you will get to: Design, build, and maintain scalable ETL/ELT pipelines for structured and unstructured data Architect and implement data pipelines using Spark and Databricks Develop and maintain data processing workflows to support analytics, AI, and machine learning use cases Optimize Spark jobs and data pipelines for performance, scalability, and cost efficiency Build and maintain data lake / lakehouse architectures Ensure data quality, monitoring, and reliability through validation and pipeline observability Troubleshoot and resolve pipeline failures, performance bottlenecks, and data issues Collaborate with cross-functional teams to gather requirements and deliver production-ready data solutions Document pipeline architecture, data models, and engineering best practices You’ll be successful if you have: At least 2+ years of hands-on experience in data engineering Having extensive experience using Databricks to design and manage scalable pipelines, hands on PySpark in Databricks notebooks, building Spark pipelines in Databricks Proven experience with ETL tools or frameworks (e.g., Airflow, dbt, Informatica, Talend) Strong Spark / PySpark experience for large-scale data processing Familiarity with data modeling and dimensional modeling 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 such as AWS, GCP, or Azure (esp. BigQuery, Redshift, or Snowflake) Can work independently and take ownership of pipeline architecture Comfortable working independently and able to manage priorities in a contract role Fluent in Thai and English is preferred APPLY NOW!

Responsibilities

The role involves designing, building, and maintaining scalable ETL/ELT pipelines for structured and unstructured data, architecting data pipelines using Spark and Databricks, and developing processing workflows for analytics and AI use cases. Responsibilities also include optimizing Spark jobs, building data lake/lakehouse architectures, ensuring data quality, and troubleshooting pipeline issues.