22 days ago
Responsibilities
- Build and maintain end-to-end data pipelines for finance, logistics, costing, and forecasting processes.
- Design scalable data models and data and business solutions using tools such as Dataiku.
- Query, transform, optimize, and troubleshoot financial data using advanced SQL.
- Develop dashboards and perform large-scale data analysis to support strategic decision-making.
- Build automation solutions and partner with engineering teams on Agentic/GenAI applications.
- Improve data quality, reporting efficiency, and data transparency.
- Work with logistics and supply-chain finance partners and provide recommendations to senior leadership.
Requirements
- At least 5 years of experience as a data engineer building end-to-end data pipelines.
- Bachelor’s degree in Computer Science, Information Systems, or equivalent experience.
- Advanced SQL skills for complex transformations, optimization, and troubleshooting.
- Python proficiency and ability to write clean, maintainable Python for data pipelines and automation.
- Preferred experience with scheduling systems and CI/CD tools such as Airflow and Jenkins.
- Preferred hands-on experience with relational database management systems such as Snowflake and PostgreSQL or similar cloud data warehouses.
- Supply-chain, logistics, finance, or accounting process knowledge is a plus.
- Excellent communication skills and ability to work independently.
Tech Stack
Categories
Data Engineering
About Apple
Apple designs and sells consumer electronics, software, and services for consumers and professionals worldwide, including iPhone, Mac, iPad, Apple Watch, and AirPods, plus platforms like iOS/macOS and services such as the App Store, iCloud, Music, and TV+. Its business combines device sales with services and subscriptions and in-house silicon design. Founded in 1976, Apple is headquartered in Cupertino, California, and trades on NASDAQ as AAPL.