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!

The Retail Business Intelligence team is looking for a resourceful, energetic Senior Data Engineer to lead and assist with the data needs of projects by crafting creative solutions to deliver data to end users. You’ll work with cross-functional teams to stitch data from various systems into unified, high-performance and low-latency reporting layers for end-to-end analyses of projects. Join us, and you’ll help provide the data needed for the organization to effectively manage the business and improve our customer experiences across the world.

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!

Description

Working in a global organization, this position plays a substantial role in defining how data is structured, organized and evaluated for consistent understanding and interpretation. A key success factor for this role is the ability to understand diverse partner needs, dive deep complex data sets and propose creative solutions to senior management and business partners. In this role, you will:

• Engage as a SME in global cross functional projects to ensure the planned impact will be measurable and quantifiable

• Define how data is structured, organized and interpreted by building certified datasets for consistent analytics and reporting

• Work closely with project managers, stakeholders and IT to deliver data requirements by leading the reporting track from requirements gathering through to successful UAT

• Develop web reports and analytical tools

• Define, build and deploy relevant metrics and perform ad hoc analyses

• Provide consultation and training to users of analytical tools and data sets

• Lead regular design and code reviews and perform debugging and coding to resolve issues

• The ideal candidate has a real passion for quality and an ability to understand complex systems","responsibilities":"Define the requirements necessary to measure the success of initiatives

Create custom data pipelines to prototype data transformation

Partner with IT teams to implement data transformations in production environments

Build and configure reporting tools to expose this data

Answer questions and provide training to users of this data set

Preferred Qualifications

Masters degree with 7+ years of experience directly related to role requirements

Experience with Contact Center, Retail, Finance, or Operations systems and datasets

Strong business mindset - ability to grasp business needs, translate into technical requirements; ability to communicate complex technical concepts to business leaders

Proactive in proposing innovative ideas, new technology, and driving change across projects, programs, and processes

Ability to lead, take action, and provide goal-oriented direction in the face of ambiguity

Experience creating or modifying HTML/CSS/JS-based applications, or front-end tools

Understanding of modern AI development practices, including experience with embedding vectors, knowledge graphs, or agentic workflows, and how to integrate them into data-driven tools and pipelines

Minimum Qualifications

Expert SQL skills

7+ years ETL and query optimization experience

Extensive Semantic layer (ESL) development experience in relational database and data lake environments

Extensive experience doing data validation against complex disparate systems

Experienced at contributin