26 jobs for "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!

Description
Working in a global organization, this position plays a substantial role in defining how data is structured, organized and evaluated to measure the performance and impact of capital projects across Apple Store Online. A key success factor for this role is the ability to engage early in project lifecycles, establish data requirements and measurement frameworks and ensure that analytical deliverables are ready to support go-live and beyond. In this role, you will:

* Act as the primary data SME across a portfolio of capital projects, ensuring that data strategy is established early and maintained throughout the project lifecycle

* Partner with project managers, business stakeholders, and IT teams to translate initiative goals into clear data requirements and measurable success criteria

* Design and build reporting layers and certified datasets that capture end-to-end performance of business initiatives - from launch through steady-state operation

* Conduct ad hoc analyses and data investigations to surface insights, validate outcomes, and support executive decision-making

* Lead requirements gathering, gap reviews, data validation, and UAT across projects

* Provide consultation and training to business partners on how to interpret and leverage data assets tied to their initiatives

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

* The ideal candidate has a real passion for quality, a strong instinct for business impact, and the ability to navigate complexity across multiple concurrent projects","responsibilities":"Own the end-to-end data engineering lifecycle for analytics in retail initiatives - from requirements gathering and data modeling through pipeline development, UAT, and production deployment - ensuring on-time, high-quality delivery across global cross-functional teams
Design and maintain scalable, certified data assets across relational and data lake environments, establishing the semantic layer standards that power consistent reporting and decision-making across the organization
Serve as a technical subject matter expert on multi-functional projects, partnering with IT, finance, operations, and retail stakeholders to translate complex business questions into rigorous, well-documented data solutions
Lead design and code reviews, define engineering best practices, and provide mentorship and technical guidance to ensure team-wide consistency, performance, and maintainability of data pipelines and analytical tools
Drive data quality and integrity by developing and enforcing validation frameworks against complex, disparate source systems, proactively identifying and resolving data issues before they surface in business-facing reporting
Champion data literacy across the organization by delivering consultation, training, and documentation that enable business partners to independently leverage analytical tools and certified datasets with confidence

Preferred Qualifications
Master's degree in a relevant field with 7+ years of experience directly related to role requirements
Strong business mindset with the ability to translate business needs into technical requirements, produce IT-friendly business requirements documentation, and communicate complex concepts clearly to senior leaders
Structured problem solver who can break down ambiguous challenges, lead decisively under uncertainty, and provide goal-oriented direction across projects, programs, and processes
Proven track record of contributing to and influencing deliverables within large global cross-functional teams, with domain experience in e-commerce, Retail, Finance, Operations, or Contact Center systems and datasets
Proactive technologist who independently picks up new skills and drives innovation - including familiarity with modern AI practices such as embedding vectors, knowledge graphs, and agentic workflows integrated into data-driven pipelines
Experience supporting data and analytics needs across complex, multi-track capital projects including requirements definition, measurement framework design, and post-launch performance tracking

Minimum Qualifications
Expert SQL skills with 7+ years of ETL and query optimization experience
Extensive Semantic Layer (ESL) development experience in relational database and data lake environments
Extensive experience performing data validation against complex, disparate systems
Proficiency in PHP and/or Python for scripting or data manipulation, with experience creating or modifying HTML/CSS/JS-based applications or front-end tools, and deploying into cloud environments (Alibaba Cloud, Tencent Cloud, AWS, or equivalent)
Professional proficiency in both Mandarin and English, written and verbal
Bachelor's degree in Information Technology, Mathematics, Computer Science, or equivalent experience

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Size: 10,000+ employees
Industry: Technology

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