Data Pipeline Engineer, Apple Ads Sales Ops

Confirmed live in the last 24 hours

Apple

Shanghai

On-site

Posted April 22, 2026

Job Description

Summary

At Apple, we focus deeply on our customers’ experience. Apple Ads brings this same approach to advertising, helping people find exactly what they’re looking for and helping advertisers grow their businesses. Our technology powers ads and sponsorships across Apple Services, including the App Store, Apple News, and MLS Season Pass. Everything we do is designed for trust, connection, and impact: We respect user privacy, integrate advertising thoughtfully into the experience, and deliver value for advertisers of all sizes—from small app developers to big, global brands. Because when advertising is done right, it benefits everyone. We are looking for an experienced Data Pipeline Engineer to support our growing advertising business. In this role, you will work within our Apple Ads Sales Operations team to support and empower the sales analytics organization by leveraging your business knowledge and context to build data pipelines powering internal reporting and tools.

Description

A successful candidate will have deep experience in building data pipelines to support analytics and reporting across a globally distributed sales team. The role requires both a broad knowledge of existing analytical techniques and strong business insight. You’ll be working on projects where tools and methods are used to drive real-world business value, using creativity to invent and customize when necessary.

Minimum Qualifications

4+ years of relevant industry experience using analytics to solve business problems Fluency with SQL for coding and database querying Experience with DBT BS in data science, statistics, economics, computer science or other quantitative field

Preferred Qualifications

Advanced education degree in data science, statistics, economics, computer science or other quantitative field Experience in Ad Tech or digital advertising Strong track record of building data pipelines Ability to understand and contextualize the needs of key business stakeholders and translate those requirements into scalable data models that support analytics and reporting Exceptional written and verbal communication skills

datasales