About the job Senior Data Engineer (Data Lake & Integration)
Senior Data Engineer (Data Lake & Integration)
Location: Bangkok, Thailand
Industry: Manufacturing / Industrial / Smart Factory
Overview:
We are supporting a strategic industrial client in building their enterprise data platform to support real-time analytics, IoT, and AI initiatives. This Data Engineer role is key to developing cloud-native data lakes and integrating systems across the enterprise.
Responsibilities:
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Design and implement secure, scalable data pipelines across ERP, IoT, and production systems.
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Build and maintain a cloud-native data lake (AWS, Azure, or equivalent).
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Develop and manage ETL/ELT pipelines using modern frameworks.
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Collaborate with analytics, operations, and IT teams to enable data readiness for BI and AI.
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Ensure data governance, PDPA compliance, and performance optimization.
Qualifications:
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Bachelors or Masters in Computer Science, Engineering, or related field.
2-3 years of experience in data engineering or integration roles.
- Strong experience in data pipeline development, data processing frameworks, and scripting languages commonly used in modern data engineering(e.g., Python, SQL, data orchestration frameworks like Apache Airflow, cloud-based ETL tools, or distributed data processing engines such as Spark or Flink).
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Experience with cloud platforms and integration with enterprise systems (e.g., ERP - SAP, IoT).
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Familiarity with data governance, data privacy regulations (e.g., PDPA), and standards such as ISO27001 is desirable.