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Lead the design and operation of scalable data pipelines that power financial reporting and analytics for the CFO organization. Ensure the integration and reliability of finance data between Oracle Fusion and the enterprise data platform.
Requires a degree in Computer Science or Engineering with 5-8 years of experience in data engineering, specifically with ERP or financial data. Proficiency in Python, SQL, and big data technologies like Spark/Databricks is essential.
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.
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.
Makro PRO is an exciting new digital venture by the iconic Makro. Our proud purpose is to build a technology platform that will help make business possible for restaurant owners, hotels, and independent retailers, and open the door for sellers. Makro PRO brings together the best talent across multi-nationals to transform the B2B marketplace ecosystem. We welcome bold, energetic, and thoughtful people who share our belief in collaboration, diversity, excellence, and putting customers at the heart of our work.
Offices: 1468 Phatthanakan Road, Khwaeng Suan Luang,, Khet Suan Luang, Bangkok, 10250, TH
View all jobs at Makro PROThere are currently 334 open technology positions in Bangkok, Thailand listed on Clera. New openings are added daily as companies post roles.
Companies currently hiring include AIS, Agoda, Monitor Deloitte, Accenture, Makro PRO, among others. Browse the listings above to see every active employer.
Yes — 102 of the 334 open technology positions offer remote or hybrid work (28 remote, 74 hybrid).
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