Senior Data Engineer, Sales Insights, Analytics, Data Engineering and Science (SIADS)
Amazon - SGP
Posted Apr 10, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
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- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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Schedule
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- Weekend work
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Application
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Where they hire
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About this role
Senior Data Engineer, Sales Insights, Analytics, Data Engineering and Science (SIADS) SGP Join the cloud platform trusted by millions worldwide and own the data infrastructure that powers strategic business decisions across Asia Pacific and Japan (APJ). This is a hands-on, technically demanding role for an experienced data engineer who is passionate about building robust data products that enable teams to measure and grow the business. You will be part of a team that operates at the intersection of data engineering, business intelligence, and regional strategy, partnering with key stakeholders (e.g. Sales, Sales Operations, Finance, etc.), and regional leadership to deliver data products that matter. If you thrive in a fast-paced, high-growth environment where ownership, technical depth, and business judgement are equally valued - and where your pipelines, data models, and analytics platforms will serve field teams across key verticals and business units across APJ - this role is for you. Key job responsibilities - Own the design, development, and maintenance of the APJ SIADS' data analytics platform, including data pipelines, data lakes, and analytical and visualisation platforms that power SMGS business insights - Build and maintain APJ-specific data models and pipelines, ensuring alignment between worldwide definitions and APJ business logic, and validating data quality against WW business standards - Design and maintain the backend data infrastructure for end-user last-mile analytics tools, implementing ETL processes that ensure data is clean, fresh, and optimised for APJ analytical requirements - Develop monitoring capabilities for data quality and query performance to keep platforms reliable
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