Senior Data Engineer, Retail Business Intelligence

Austin, Texas, United States Corporate FunctionsThe 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 customer experiences across the world.Day-to-day responsibilities 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.DescriptionWorking 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 systemsResponsibilitiesDefine the requirements necessary to measure the success of initiativesCreate custom data pipelines to prototype data transformationPartner with IT teams to implement data transformations in production environmentsBuild and configure reporting tools to expose this dataAnswer questions and provide training to users of this data setMinimum Qualifications7+ years ETL and query optimization experienceExtensive Semantic layer (ESL) development experience in relational database and data lake environmentsExtensive experience doing data validation against complex disparate systemsExperienced at contributing to and influencing the deliverables of projects as part of a large global cross functional teamExpert ability to write business requirements in an IT friendly formatProficient in PHP and/or Python for scripting or data manipulationExperience with data visualization tools (e.g.: Tableau)Structured thinker with the ability to easily break down ambiguous problems and propose creative solutionsAbility to build effective relationships and influence partners in a global multi-functional team environmentAbility to pick up new tech skills independentlyBachelor's Degree in Information Technology, Mathematics, Computer Science, or equivalentPreferred QualificationsMasters degree with 7+ years of experience directly related to role requirementsExperience with Contact Center, Retail, Finance, or Operations systems and datasetsStrong business mindset - ability to grasp business needs, translate into technical requirements; ability to communicate complex technical concepts to business leadersProactive in proposing innovative ideas, new technology, and driving change across projects, programs, and processesAbility to lead, take action, and provide goal-oriented direction in the face of ambiguityExperience creating or modifying HTML/CSS/JS-based applications, or front-end toolsUnderstanding 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 pipelinesApple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicantJ-18808-Ljbffr