NIKE is a technology company. From our flagship website and five-star mobile apps to developing products, managing big data and providing leading edge engineering and systems support, our teams at NIKE Global Technology exist to revolutionize the future at the confluence of tech and sport. We invest and develop advances in technology and employ the most creative people in the world, and then give them the support to constantly innovate, iterate and serve consumers more directly and personally. Our teams are innovative, diverse, multidisciplinary and collaborative, taking technology into the future and bringing the world with it.
The EMEA Enterprise Data and Analytics (ED&A) team supports all business activity across 39 countries in the region and serves all functions. This includes working closely with all functions across the EMEA region, including: Supplier Management, Demand Planning, Sales Planning, Nike Direct, Supply Chain, Merchandising, Pricing, Marketing, Customer Insight, as well as the global team in the US, and its counterparts in other regions.
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WHO WE ARE LOOKING FOR
We're looking for a talented Senior Software Engineer to join our Data & Artificial Intelligence organization, where you'll have the opportunity to work on cutting-edge data-driven solutions that drive business growth and inform strategic decision-making.
If you're a team player with a strong work ethic, excellent problem-solving skills, and a drive to deliver high-quality results, we'd love to hear from you.
The candidate will have a strong software background, with a focus on data and data engineering paradigms. Bringing an engineering experience that will help innovate and improve how we build our solutions.
WHAT YOU WILL WORK ON
If this is you, you will be working on enterprise data solutions within the Consumer x Marketplace domain that serve other engineering, data, or business facing teams. Our technical solutions serve the end-to-end breadth of Nike, from building foundational data capabilities, creating analytical products to help the Nike business make better decisions to optimizing our supply chain enabling our business to run as efficiently as possible.
We run agile squads where transparency and trust are key, and collectively bring a culture of engineering excellence and continuous improvement to the organization.
You will be coaching and mentoring junior team members and implementing strategies to improve integration and efficiency.
We build our products to run reliable and at scale. This means you will be asked to code your infrastructure and automatically build, test and deploy your creations. Quality is built into our solutions up front, with a testing and quality mentality being a key attribute of our team. You will be asked to provide support by writing documentation and tutorials as well as providing guidance to users with a variety of technical skills.
WHO YOU WILL WORK WITH
You will be part of an agile scrum team, closely working with the Product Manager, Scrum Lead and other team members that drive to deliver innovative data solutions. You will partner with business facing team members and other technology solution delivery, architecture, and platform teams.
Through our communities of practice, you will interact with engineers from multiple other squads to help define Nike's engineering culture, standards and best practices, advocating for engineering excellence and innovation.
You will be reporting into engineering leadership, who will guide you to grow and build your career path.
WHAT YOU BRING
- Design, develop, and implement complex data pipelines using PySpark libraries and other modern large-scale data technologies
- Develop and maintain scalable, efficient, and reliable data and analytical products that support business growth
- Ensure data quality, integrity, and security by implementing robust testing, monitoring, and validation processes
- Stay up-to-date with industry trends, emerging technologies, and best practices in data engineering and software development
- Participate in code reviews, provide feedback, and contribute to the growth and development of junior engineers
- Demonstrated experience and ability to deliver results on multiple projects in a fast-paced, agile environment
This job posting will expire on the 10th of January
No relocation is provided for this role.