Senior Data Engineer I (Finance) - CP Axtra

The Senior Data Engineer I works within the Finance Transformation team at CP Axtra, focusing on end-to-end data engineering for financial reporting, planning, and analytics across Makro and Lotus's. The role involves designing and operating data pipelines for Oracle Fusion and the enterprise data platform to ensure data reliability. The engineer collaborates with data scientists, analysts, and FP&A stakeholders to integrate systems and implement data quality checks. The position requires a background in data engineering, specifically with finance or ERP data, and proficiency in Python, SQL, and cloud data platforms.

Lead and mentor the data engineering effort, fostering collaboration and innovation.

Oversee the design, development, and maintenance of scalable data pipelines supporting financial reporting and analytics.

Build and maintain integrations between Oracle Fusion (ERP/EPM) and the enterprise data platform.

Collaborate with data scientists, analysts, FP&A, and Finance stakeholders to understand requirements.

Implement data quality, reconciliation, and validation checks to ensure data accuracy.

Design data architecture that supports current and future finance needs.

Evaluate and select appropriate tools and technologies for data processing and analytics.

Optimize pipelines for performance and efficiency, considering month-end close deadlines.

Implement data governance and controls to ensure compliance with audit requirements and data privacy (PDPA).

Stay updated with emerging data engineering trends.

Master's or Bachelor's degree in Computer Science, Engineering, or a related field.

5-8 years in data engineering, including building pipelines for finance, ERP, or transactional data.

Strong expertise in ETL/ELT, data warehousing, and data integration with ERP systems like Oracle Fusion.

Proficiency in Python and SQL, with big data technologies (e.g., Spark/Databricks) and cloud data platforms.

Experience with data modeling, dimensional design, and optimizing storage for financial reporting.

Strong problem-solving skills to diagnose and resolve data quality and pipeline issues.

Excellent communication skills to work with Finance, Accounting, and FP&A stakeholders.

Familiarity with Agile/Scrum, data governance, and data privacy (e.g., Thailand PDPA) in a finance context.

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