Senior Data Engineer I (Finance)
Confirmed on the employer's own hiring board on Oct 30, 2026. First seen by Alion on Jun 22, 2026. CP Axtra scores A on the Alion truth index.
The Senior Data Engineer I sits within the Finance Transformation team in IT at CP Axtra, responsible for the end-to-end data engineering that powers financial reporting, planning, and analytics across Makro and Lotus's. He/she designs and operates the data pipelines feeding Oracle Fusion (ERP/EPM) and the enterprise data platform, ensuring finance data is available, accurate, and reliable to enable data-driven decisions for the CFO organization.
Responsibilities:
1.Lead and mentor the data engineering effort, fostering collaboration, innovation, and continuous learning within Finance Transformation.
2.Oversee the design, development, and maintenance of scalable, efficient data pipelines supporting financial reporting, planning, and analytics.
3.Build and maintain integrations between Oracle Fusion (ERP/EPM) and the enterprise data platform to deliver trusted finance data.
4.Collaborate with data scientists, analysts, FP&A, and Finance stakeholders to understand requirements and ensure seamless data integration.
5.Implement data quality, reconciliation, and validation checks to ensure the accuracy, completeness, and reliability of financial data sets.
6.Design data architecture that supports current and future finance needs, considering scalability, performance, and auditability.
7.Evaluate and select appropriate tools and technologies to enhance data processing, storage, and analytics capabilities.
8.Optimize pipelines for performance and efficiency, considering data volume, processing speed, and month-end close deadlines.
9.Implement data governance and controls to ensure compliance with financial controls, audit requirements, and data privacy (PDPA).
10.Stay updated with emerging data engineering trends and apply them to improve the team's finance data capabilities.
Requirements
1.Master's or Bachelor's degree in Computer Science, Engineering, or a related field.
2.5-8 years in data engineering, including building pipelines for finance, ERP, or transactional data.
3.Strong expertise in ETL/ELT, data warehousing, and data integration with ERP systems such as Oracle Fusion.
4.Proficiency in Python and SQL, with big data technologies (e.g., Spark/Databricks) and cloud data platforms.
5.Experience with data modeling, dimensional design, and optimizing storage for financial reporting and reconciliation.
6.Strong problem-solving skills to diagnose and resolve data quality and pipeline issues affecting financial figures.
7.Excellent communication skills to work with Finance, Accounting, and FP&A stakeholders alongside technical teams.
8.Familiarity with Agile/Scrum, data governance, and data privacy (e.g., Thailand PDPA) in a finance context.
Benefits
- International workplace
- Opportunities for growth in e-commerce, wholesales, and retail industry
- Competitive benefits
- Fast-paced, dynamic, and supportive environment