Data Platform Engineer / Data Architect
At Gosoft(Thailand)Co.,Ltd. · Nonthaburi, Thailand
- Data and ML
- Full-time
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Where you’ll work
Hybrid, based in Thailand
“Nonthaburi, Thailand”
From the location.
“Flexibility: Hybrid working, continuous learning, and career advancement”
From the job description.
Hybrid means some days in the office. The listing says how many, and where.
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- First seen by us
- 15 October 2026
- Last checked
- 55 minutes ago
Job description
From Gosoft(Thailand)Co.,Ltd.’s job post, as they wrote it.
Join the Team Behind Thailands Largest Retail Data Platforms
At Gosoft, were the tech powerhouse behind CP ALL Grouppowering innovations for over 15,000 7-Eleven stores nationwide, including platforms like 7-Delivery. As part of our Data Science & Data Engineering team, youll work at the cutting edge of cloud-native tech and big dataespecially on Databricks Lakehouse and AWS/GCP.
Were looking for passionate engineers ready to build high-impact data systems that shape the future of retail.
Read the full description
What Youll Do
* Design and maintain scalable data pipelines on Databricks Lakehouse Platform
* Build ETL/ELT workflows for both structured and unstructured data
* Partner with data scientists and analysts to turn raw data into actionable insights
* Optimize performance of Spark jobs, Delta Lake, and streaming pipelines
* Lead platform monitoring, CI/CD automation, and cloud-native governance
* Apply best practices in data security, quality, and governance
What Were Looking For
* Degree in Computer Science, Engineering, or related field
* 2+ years of hands-on experience in Data Engineering / Platform Engineering
* Strong with Databricks, Apache Spark, Delta Lake
* Skilled in Python, SQL, and working in notebooks (Jupyter/Databricks)
* Experience in AWS or GCP services
* Solid understanding of Lakehouse Architecture and Data Modeling
* Familiar with CI/CD, Git, and MLOps/DevOps for data platforms
* Bonus: Experience in retail tech, data privacy, and RBAC
Why Gosoft?
* Impact: Be the backbone of the data powering 7-Elevens national operations
* Innovation: Work on modern architecture and enterprise-scale platforms
* Growth: Learn from top talent in DataOps, MLOps, and Cloud Engineering
* Flexibility: Hybrid working, continuous learning, and career advancement
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