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CP Axtra

Wholesale and retail distributor with omnichannel

Senior Data Engineer 1 - Finance

Data EngineeringConfirmed live in the last 24 hours
Full-timeBangkok, ThailandNo salary listed

About the Job

Requirements

  • A Master's or Bachelor's degree in Computer Science, Engineering, or a related field.
  • 5–8 years of data engineering experience, including building pipelines for finance, enterprise resource planning (ERP), or transactional data.
  • Strong expertise in extract, transform, and load (ETL)/extract, load, and transform (ELT), data warehousing, and data integration with ERP systems such as Oracle Fusion.
  • Proficiency in Python and SQL, with big data technologies such as Spark or Databricks and cloud data platforms.
  • Experience with data modeling, dimensional design, and optimizing storage for financial reporting and reconciliation.
  • Strong problem-solving skills to diagnose and resolve data-quality and pipeline issues affecting financial figures.
  • Excellent communication skills to work with Finance, Accounting, and financial planning and analysis (FP&A) stakeholders alongside technical teams.
  • Familiarity with Agile/Scrum, data governance, and data privacy (such as Thailand's Personal Data Protection Act) in a finance context.

Responsibilities

  • Lead and mentor the data-engineering effort, fostering collaboration, innovation, and continuous learning within Finance Transformation.
  • Oversee the design, development, and maintenance of scalable, efficient data pipelines supporting financial reporting, planning, and analytics.
  • Build and maintain integrations between Oracle Fusion (ERP/EPM) and the enterprise data platform to deliver trusted finance data.
  • Collaborate with data scientists, analysts, FP&A, and Finance stakeholders to understand requirements and ensure seamless data integration.
  • Implement data-quality, reconciliation, and validation checks to ensure the accuracy, completeness, and reliability of financial data sets.
  • Design data architecture that supports current and future finance needs, considering scalability, performance, and auditability.
  • Evaluate and select appropriate tools and technologies to enhance data processing, storage, and analytics capabilities.
  • Optimize pipelines for performance and efficiency, considering data volume, processing speed, and month-end close deadlines.
  • Implement data governance and controls to ensure compliance with financial controls, audit requirements, and data privacy (PDPA).
  • Stay updated with emerging data-engineering trends and apply them to improve the team's finance data capabilities.

About the Company

CP Axtra

Wholesale and retail distributor with omnichannel

CP Axtra runs wholesale and retail networks in Thailand and across Asia, with two main segments: Makro for B2B wholesale and Lotus's for B2C retail in hypermarkets and supermarkets. It sources goods from suppliers and sells them through its stores and online channels, while also earning from leasing mall space; digital tools like the Makro PRO app and partnerships with Cainiao and Microsoft help manage inventory and personalize shopping. The company combines a large B2B wholesale ecosystem with a broad B2C retail footprint and a unified omnichannel experience to connect physical and online shopping. Its goal is to become a leading RetailTech company in Asia by improving supply chains, expanding its omnichannel reach, and growing its ecosystem of stores, online services, and mall spaces.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Bangkok, Thailand
Founded
1988

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