Lead Data Engineer

At GameStop, we are committed to providing exceptional service and delivering the latest and greatest in gaming products to our customers. As a leading global retailer of video games, electronics, and gaming merchandise, we take pride in offering a wide range of products that cater to the needs and desires of gamers worldwide. Our mission is to create unforgettable experiences for our customers by constantly pushing the boundaries of what's possible. Whether you're a hardcore gamer or just starting out, we've got something for everyone. Join us in our mission to shape the future of gaming and bring the best gaming products to the world! The Lead Data Engineer is an integral part of the technical team responsible for GameStop’s Data and BI platforms and their usability and reliability. This role contributes to emerging technologies in data analysis, architecture and development. This role is generally characterized by working levels of scope and independent decision making, with a moderate level of technical complexity. This position sits onsite 5 days a week in Grapevine, TX. What you’ll do: • Develop a deep understanding of the company's data and how it should be engineered for maximum business value in the self-service and reporting environments. • Design, build, and maintain data pipelines to extract, transform, and load ETL data from SAP systems and WMS (Manhattan), enabling data-driven decision-making and analytics. • Interprets complex data to inform strategic and tactical initiatives, ensuring clear and effective communication of findings to both technical and non-technical stakeholders. • Optimizes SQL table structures, defines critical KPIs, and generates comprehensive reports to drive business decisions. • Facilitates ongoing discussions with internal leaders to gather and refine requirements for reporting and analytics needs. • Designs and develops robust data models to establish a cohesive semantic layer, ensuring consistency and efficiency in reporting and analysis. • Conducts thorough root cause analyses and strategic investigations to address critical business questions. • Provide recommendations to management, based on current and emerging technologies, on methods to reduce costs, improve data quality and availability. • Interact with various business stakeholders to resolve questions regarding program intent, data input, output requirements and inclusion of internal checks and controls, etc. Related Competencies: • Collaboration — Working effectively and cooperatively with others; establishing and maintaining good working relationships. • Innovation - Generating innovative solutions in work situations; trying different and novel ways to deal with work problems and opportunities. • Navigating Complexity — Proactively and quickly making sense of complex issues; responding effectively to complex and ambiguous situations; communicating complicated information simply. • Technical/Professional Knowledge and Skills – Having achieved a satisfactory level of technical and professional skill or knowledge in position-related areas; keeping up with current developments and trends in areas of expertise. What you’ll need: • 5+ years of hands-on experience in advanced data analytics and data engineering, specializing in designing sophisticated models and tools with optimized SQL table structures, preferably in the Retail industry. • 2+ years of professional experience developing dashboards with Power BI, demonstrating advanced knowledge of visualization best practices • Bachelor's degree required. • Supply Chain experience preferred. • Proficiency in integrating data from various sources, including structured and unstructured data, using technologies such as ETL (Extract, Transform, Load) processes, data pipelines, and data ingestion frameworks. • GBQ experience is a plus. • Working in complex projects with multi-tier architecture required. • Expert knowledge of relational and dimensional data concepts. • Expert knowledge of SQL, including DDL and DML. • Proven ability to design and implement end-to-end reporting pipelines at scale, ensuring data integrity and reliability throughout. • Demonstrated ability to influence critical business outcomes in a global environment. • Adept at architecting, implementing, and supporting analytics data resources. • Self-driven, flexible, and highly energetic with excellent written and verbal communication skills. • Strong collaborative skills, capable of working effectively both independently and as part of a team, with a robust analytical and critical thinking mindset. Full-time store positions at GameStop are also eligible to participate in incentive programs, health benefits, paid time off, 401 (k), employee discount and a casual work environment. Positions at GameStop may also be eligible for a bonus and/or other incentives. Apply Job!