Data Engineer

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

Overview of the job

We are seeking a Data Engineer to join our growing team. The ideal candidate will be a highly motivated and experienced data professional with a strong technical background in data engineering, data architecture and cloud. As a Senior Data Engineer, you will play a crucial role in designing and implementing data solutions that drive business value, help us make data-driven decisions, and improve customer experiences.

In this role, you will get to:

• Collaborate with cross-functional teams to understand business requirements and design data solutions to meet those needs
• Design and build scalable data pipelines to ingest, process, and store large volumes of data
• Manipulate complex data from a variety of sources (e.g. API, SFTP, Databases, SAP, Google Analytics, etc.)
• Ensure data quality, accuracy, and completeness through data validation and error handling processes
• Maintain and monitor existing ETL pipelines and advising on necessary infrastructure changes
• Design and implement security and access control measures to protect sensitive data or comply with regulation such as PDPA
• Participate in recruitment in order to evaluate and interview candidates, as well as improving our recruitment processes
• Gather customer requirements during pre-sales interactions, determining project scope, creating technical diagrams, and making estimations for man-days and cloud costs
• Develop and maintain technical documentation

You'll be successful if you have:

• 4+ years of experience in Data engineering in designing, building, maintaining data infrastructure in cloud environments such as AWS, GCP or Azure
• Strong programming skills in languages such as Python, Java, or Scala (Python preferred)
• Strong Experience with cloud based data lake solutions, such as S3, GCS or Data Lake Storage, and how to design and implement data lake architectures
• Strong Experience with data warehousing tools, such as Redshift, Synapse or BigQuery, and how to optimize data warehousing performance for large-scale data sets
• In-depth knowledge and hands-on experience with big data technologies such as Hadoop, Spark, and Hive (Spark preferred)
• Expertise in designing and implementing efficient ETL pipelines composed of a variety of data sources, and the ability to ensure data quality with a strong understanding of data integration and transformation techniques
• Experience working with orchestration tools such as Airflow, AWS Step functions or Azure Data Factory
• Ability to write efficient SQL queries for data extraction and transformation, demonstrating proficiency in optimizing query performance, understanding distributed query execution models, and utilizing advanced SQL concepts. (Spark preferred)
• Knowledge of CI/CD and Infrastructure as Code concepts, including experience with tools such as Terraform, AWS CDK, Github pipelines and  Gitlab CI
• Excellent problem-solving skills and the ability to work well in a fast-paced, collaborative environment
• Ability to scope projects, define architectures, and choose technologies based on project requirements
• Leadership skills and ability to mentor junior and mid-level Data engineers

It's a plus if you have:

• Holding certifications related to data engineering of cloud providers such GCP Data engineering, etc
• Working on multiple projects simultaneously
• Data streaming technologies and data integration with streaming data sources
• Docker and experience deploying and managing containerized data solutions
• Implementing PDPA process
• Optimizing cloud costs through various strategies
• DevOps and continuous integration/continuous delivery (CI/CD) practices
• Gathering customer requirements and estimating project scope during pre-sales interactions
• Agile methodologies (e.g. Scrum, Kanban)

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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