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Senior Data Engineer

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Onsite

Senior Data Engineer

SVI Public Company Limited

Senior Data Engineer

Skills

SQL QueriesData EngineeringPythonGitMachine LearningAISAP ERPSupply Chain

24 days ago

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Important information


Contract type:

Permanent

Work mode:

Onsite

Published on:

2 October 2026

What they need


Position purpose

Be the technical anchor of the data platform. Everything the BI and AI teams produce depends on pipelines that run reliably and data people trust — this role owns that foundation and sets the engineering standard for a team about to double with junior hires.

Key responsibilities

  • Design and own the data architecture for ingestion, storage and serving, from SAP and shop-floor sources into the warehouse and data mart and out to BI and ML consumers.

  • Build and maintain production-grade ETL and ELT pipelines with orchestration, monitoring, alerting and documented recovery procedures.

  • Own data quality: profiling, validation rules, reconciliation against source, and a published data quality dashboard.

  • Define and enforce engineering standards — version control, code review, testing, environment promotion, pipeline documentation.

  • Model the core data domains: material, supplier, customer, order, production and cost.

  • Optimise cost and performance of the data platform; own the query and storage cost profile.

  • Technically mentor Data Engineers through code review and pairing.

  • Implement access control and data handling appropriate to customer-confidential and financial data.

Required qualifications

  • Bachelor's degree in Computer Science, Computer Engineering, Data Engineering or related field.

  • 4+ years in data engineering including at least 2 years owning pipelines running in production.

  • Expert SQL; strong Python for data engineering, orchestration, ML frameworks.

  • Hands-on with a modern data platform and an orchestration tool.

  • Experience extracting from ERP source systems; SAP extraction is a strong advantage.

  • Demonstrated ownership of data quality and pipeline reliability with concrete examples of failures handled.

  • Working English; Thai fluency preferred.

Preferred qualifications

  • Streaming or event data experience for shop-floor sources.

  • Manufacturing or supply chain data domain knowledge.

  • Cloud cost optimization.

  • Master data management exposure,

  • Experience mentoring junior engineers or running a graduate programme.

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