← All roles

Data Engineer (Customer Analytics), IS&T Ai & Data Platforms

Apple· AiDP / IS&T
Apply on company site
ShanghaiFull-timePosted 2mo ago

About the role

Senior Data Engineer responsible for designing and building cloud-based data warehouses, ETL pipelines, and analytics to power Apple’s decision-making. Collaborates with US and global teams to enable AI-powered data solutions and improve data workflow efficiency.

Responsibilities

  • Design, build, and manage cloud-based data warehouses and data access layers that support teams across Apple.
  • Develop highly scalable and secure ETL pipelines to ingest, process, and serve data from multiple source systems.
  • Perform data discovery and in-depth analysis across large, multi-source datasets, quickly learning new data to uncover insights and validate quality.
  • Build proofs of concept and run ad-hoc and recurring analyses to answer high-priority business questions.
  • Analyze and optimize existing data systems and queries, including Spark and Trino, for reliability, performance, and cost at scale.
  • Use modern AI tools to enhance and automate data workflows such as orchestration, scheduling, and monitoring.
  • Collaborate closely with US-based and regional teams and business partners, presenting findings and recommendations in English.

Qualifications

  • Bachelor's degree in Computer Science, related field, or equivalent practical experience
  • 3+ years of professional experience in data engineering, building and operating data pipelines and data warehouses
  • Expert proficiency in SQL, including query optimization, and strong Python for data processing and automation
  • Hands-on experience with big data and distributed systems, including Spark and Trino
  • Experience building ETL pipelines and working with cloud data platforms such as Ali Cloud (or equivalent)
  • Strong data discovery and analysis skills, with a proven ability to learn new data quickly, uncover insights, and validate data quality
  • Deep understanding of data warehouse architecture and dimensional modeling principles
  • Strong English proficiency, able to communicate and collaborate effectively with US and global teams in English
  • Demonstrated ability to apply AI-powered tools and methods to improve data pipeline efficiency and reliability
  • Detailed understanding of OLTP and OLAP systems and when to apply each
  • Hands-on experience with both relational and NoSQL database systems
  • Proven ability to translate complex business requirements into scalable, data-driven solutions
  • Strong project management and presentation skills, with the ability to deliver findings to multiple levels of stakeholders

Skills

Required:SQLPythonBig data / distributed systemsETL pipelinesData discovery & analysis

Benefits

  • Apple is an equal opportunity employer and promotes inclusion and diversity.
  • Accommodations for applicants with disabilities.
  • Accessibility-focused workplace and tools.
Last updated Oct 16, 2026. Interested? Apply on the company site.

About Apple

Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.

Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.

AirPods Max 2Apple ArcadeApple CardApple Fitness+Apple MusicApple TVApple TV+Apple Watch Series 11
Company profileWebsite

More open roles at Apple