This job offer is no longer available
About
If you thrive in a fast-moving, collaborative environment and want to solve complex problems with new technology-driven data systems, we'd love to hear from you.
Description
Operations Finance Data Engineer role requires you understand, document and re-engineer Apple's logistics costing and forecast processes, while bringing strong technical expertise in data querying, dashboard development, and large-scale data analysis. You'll design and build scalable data models, modern Data & Business solutions leveraging tools such as Dataiku, partner with engineering teams to create Agentic/GenAI applications to improve reporting efficiency, enhance data transparency, and support strategic decision-making.
This is a hands-on role working closely with logistics & supply chain finance business partners and cross-functional engineering teams, while also making recommendations to senior leadership. Your work will strengthen data quality, drive automation, and unlock new capabilities at scale.
Minimum Qualifications
Minimum of 5 years of working experience as a data engineer building end-to-end data pipelines
Bachelor's degree in Computer Science, Information Systems, or equivalent
Advanced SQL skills for complex transformations, optimization, and troubleshooting
Python proficiency, comfortable writing clean, maintainable Python for data pipelines and automation
Preferred Qualifications
Experience with scheduling systems and CI/CD tools such as Airflow, Jenkins, etc.
Hands-on experience working with relational database management system such as Snowflake, PostgreSQL or similar cloud data warehouses
Supply Chain, Logistics, Finance and Accounting process knowledge is a plus
Excellent communication skills and ability to work independently
Languages
- English
Notice for Users
This job was posted by one of our partners. You can view the original job source here.