Senior Data Engineer, Retail Business Intelligence

Imagine what you could do here! The people here at Apple don’t just create products — they build the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. At Apple, inclusion is a shared responsibility, and we work together to foster a culture where everyone belongs and is inspired to do their best work.

Here on the Apple Store Online team, we are responsible for Apple’s largest store. Our main goal is to deliver a magical, personal digital experience where customers can shop, buy and learn everything Apple, wherever they are. Each customer should feel like they are our only customer and our job is to set the bar for the experience they receive. To run such an extraordinary store, it takes extraordinary people, and we are looking for someone to help us do extraordinary things.

Do you love problem solving and thinking beyond an obvious solution? Are you passionate about data accuracy and improving operational efficiency by managing complex data and information delivery? We are!

Our Retail Business Intelligence team within ASO is looking for a resourceful, energetic Senior Data Engineer to serve as a data subject matter expert across high-impact capital projects. You’ll partner with cross-functional teams to define how the success of major business initiatives is measured, tracked and understood. Join us, and you’ll help ensure that the data behind every initiative is accurate, actionable and ready to drive decisions at scale.

Day-to-day responsibilities in the Retail Business Intelligence team include partnering with IT teams to build critical data pipelines, ad hoc data analyses, troubleshooting data and supporting project teams during all stages of projects including, requirement gatherings, gap reviews, development and testing.

If you are a strategic problem solver who can lead and work with cross-functional teams to handle changes, perform data analyses, and execute project requirements to support an ever-changing data landscape, apply today!