Data Engineer (Digital Shelf Team)
Cube· Data, Product & Technology
About this role
We are seeking an experienced Data Engineer to join our team and support both data analysis and data operations for the Digital shelf Team!
In this role, you will work across the full data lifecycle - from raw data ingestion and validation to transformation, reporting, and downstream delivery. Beyond generating insights, this position plays an important role in maintaining data reliability, improving data quality, and automating operational workflows that support daily client deliverables.
Responsibilities
- Support and maintain existing data pipelines and reporting workflows used for daily operations.
- Implement and monitor data quality checks, validations, and anomaly detection.
- Contribute to building and maintaining scheduled ETL / data processing pipelines to support analytics and client databases (e.g. via orchestration tools, Airflow or similar).
- Use Python and SQL to clean, transform, and manage data from multiple sources.
- Collaborate with cross-functional teams to understand data requirements and support new analytical or operational initiatives.
- Contribute to documentation, standardization, and continuous improvement of data processes and workflows.
- 2-4 years of hands-on experience in data engineering, data processing, or a related technical role.
- Bachelor’s degree or equivalent experience in a quantitative or technical field (Statistics, Mathematics, Computer Science, Engineering, or similar).
- Strong proficiency in Python and SQL for data processing and analysis.
- Solid understanding of data pipelines, ETL concepts, and data quality management.
- Familiarity with cloud data storage or modern data platforms (e.g., AWS S3 or similar).
- Strong analytical thinking with high attention to data accuracy, consistency, and structural integrity.
- Ability to work cross-functionally and adapt to different task types and projects.
- Proactive, reliable, and able to take full ownership of recurring data processes and operations.
- Demonstrated ability to work cross-functionally with non-technical stakeholders and cross-domain teams.
- Flexibility to adapt quickly to different task types, evolving requirements, and varied projects.
Frequently Asked Questions
Is the salary disclosed for the Data Engineer (Digital Shelf Team) position at Cube?
The salary for this Data Engineer (Digital Shelf Team) role at Cube is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Data Engineer (Digital Shelf Team) position at Cube located?
This Data Engineer (Digital Shelf Team) role at Cube is based in Bangkok, Bangkok, Thailand. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Is the Data Engineer (Digital Shelf Team) role at Cube full-time or part-time?
This is listed as a Full time position. It is posted as a Data Engineer (Digital Shelf Team) role in the Data, Product & Technology department at Cube.
Which team or department does the Data Engineer (Digital Shelf Team) at Cube belong to?
This Data Engineer (Digital Shelf Team) position is part of the Data, Product & Technology department at Cube. See the full job description for more information about the team structure and responsibilities.
How do I apply for the Data Engineer (Digital Shelf Team) position at Cube?
Click the "Apply Now" button on this page. You will be redirected to Cube's official application portal hosted on workable where you can submit your application directly.
When was the Data Engineer (Digital Shelf Team) job at Cube posted?
This Data Engineer (Digital Shelf Team) position at Cube was posted on Sep 1, 2026. Apply as soon as possible — early applications are often reviewed first.
Data Engineer (Digital Shelf Team)
Cube
You'll be redirected to Cube's official application page on workable.