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Senior Data Engineer (Pipelines & Data Quality) - Data Platform
Bangkok, Thailand · On-site
Senior
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Full-time
bachelor degree
Posted 37d ago
~40 hrs/week
Responsibilities
Design and maintain scalable data platforms and pipelines to support AI, Machine Learning, and Business Intelligence initiatives. Collaborate with stakeholders to develop ETL/ELT processes and optimize data performance for LLM training and organizational decision-making.
Requirements
Requires a bachelor's degree in Computer Science or a related field with over 3 years of experience in data engineering, preferably in retail or e-commerce. Proficiency in Python, SQL, Big Data technologies, and Generative AI is mandatory.
Full job description
We are looking for a AI Data Engineer to design, develop, and maintain scalable data platforms and pipelines that support Business Intelligence, Analytics, Machine Learning, and AI initiatives. You will collaborate with business stakeholders, data scientists, and engineering teams to build reliable ETL/ELT processes, optimize data performance, and deliver high-quality data solutions that enable data-driven decision-making across the organization.
Key Responsibilities
Develop and maintain robust data pipelines to ingest, process, and transform raw data into formats suitable for LLM training.
Conduct meeting with users to understand the data requirements and perform database design based on data understanding and requirements with consideration for performance
Maintain data dictionary, relationship and its interpretation
Analyze problem and find resolution, as well as work closely with administrators to monitor performance and advise any necessary infrastructure changes
Work with business domain experts, data scientists and application developers to identify data that is relevant for analysis
Develop big data solutions for batch processing and near real-time streaming
Own end-to-end data ETL/ELT process framework from Data Source to Data warehouse
Select and integrate appropriate tools and frameworks required to provide requested capabilities
Design and develop BI solutions
Hands-on development mentality, with a willingness to troubleshoot and solve complex problems
Keep abreast of new developments in the big data ecosystem and learn new technologies
Ability to effectively work independently and handle multiple priorities
Bachelor degree or higher in Computer Science, Computer Engineering, Information Technology, Management Information System or an IT related field.
3+ year's experiences in Data Management or Data Engineer (Retail or E-Commerce business is preferrable)
Expert experience in query language (SQL), Databrick SQL, PostgreSQL
Experience in Big Data Technologies like Hadoop, Apache Spark, Databrick
Experience in Python is a must
Experience in Generative AI is a must
Knowledge in machine/statistical learning, data mining is a plus
Strong analytical, problem solving, communication and interpersonal skills.
Having good attitude toward team working and willing to work hard.
Related keywords
AIData EngineerLLMETLELTDatabricksPostgreSQLHadoopApache SparkPythonGenerative AIMachine LearningStatistical LearningData MiningBig DataBusiness Intelligence
CP Axtra Public Company Limited is the operator of the largest wholesaler "Makro" and the leading retailer "Lotus’s". The company also operates in 10 countries overseas.
How many Software jobs are open in Bangkok, Thailand right now?
There are currently 532 open software positions in Bangkok, Thailand listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Software roles in Bangkok, Thailand?
Companies currently hiring include CP AXTRA PUBLIC COMPANY LIMITED, Agoda, BJAK, AIS, Monitor Deloitte, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Software jobs in Bangkok, Thailand?
Yes — 201 of the 532 open software positions offer remote or hybrid work (63 remote, 138 hybrid).
How do I apply for Software jobs in Bangkok, Thailand?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.