Senior Data Engineer, Retail Business Intelligence

Apple•Austin, TX

About The Position

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! 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

Requirements

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 contributing to and influencing the deliverables of projects as part of a large global cross functional team
Expert ability to write business requirements in an IT friendly format
Proficient in PHP and/or Python for scripting or data manipulation
Experience with data visualization tools (e.g.: Tableau)
Structured thinker with the ability to easily break down ambiguous problems and propose creative solutions
Ability to build effective relationships and influence partners in a global multi-functional team environment
Ability to pick up new tech skills independently
Bachelor’s Degree in Information Technology, Mathematics, Computer Science, or equivalent

Nice To Haves

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

Responsibilities

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
Partner with IT teams to build critical data pipelines
Perform ad hoc data analyses
Troubleshoot data
Support project teams during all stages of projects including, requirement gatherings, gap reviews, development and testing