People, Person, Apparel, Clothing

Data Engineer

Data Engineer

Laakdal | Flanders | Belgium

Become a Part of the NIKE, Inc. Team

NIKE, Inc. does more than outfit the world's best athletes. It is a place to explore potential, obliterate boundaries and push out the edges of what can be. The company looks for people who can grow, think, dream and create. Its culture thrives by embracing diversity and rewarding imagination. The brand seeks achievers, leaders and visionaries. At NIKE, Inc. it's about each person bringing skills and passion to a challenging and constantly evolving game.

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.

f you're ready to innovate and help lead our Enterprise Data and Analytics organization, come join us now! You will be part of an organization that is revolutionizing Nike technology platforms and architecting a data and analytics landscape that is simplified, modern, flexible and will ultimately enable Nike on its journey to 2020 and beyond.

RESPONSIBILITIES
  • Architect, design and build reusable components, frameworks and libraries at scale to support data & analytics products and platforms
  • Design and implement product features in collaboration with business and Technology stakeholders
  • Anticipate, identify and solve issues concerning data management to improve data quality
  • Clean, prepare and optimize data at scale for ingestion and consumption
  • Drive the implementation of new data management projects and re-structure of the current data architecture
  • Implement complex automated workflows and routines using workflow scheduling tools
  • Build continuous integration, test-driven development and production deployment frameworks
  • Drive collaborative reviews of design, code, test plans and dataset implementation performed by other data engineers in support of maintaining data engineering standards
  • Analyze and profile data for the purpose of designing scalable solutions
  • Troubleshoot complex data issues and perform root cause analysis to proactively resolve product and operational issues
  • Mentor and develop other data engineers in adopting best practices


SKILLSET
  • Advanced experience building cloud scalable, real time and high-performance data lake solutions preferably on AWS or Azure
  • Experience with relational SQL and Python
  • Experience with Java, GitHub and related dev process is a plus
  • Experience with workflow scheduling tools such as Airflow or other
  • Strong understanding of developing complex data solutions
  • Willing to learn new skills and technologies
  • Has a passion for technology especially data solutions
  • Experience with the Agile way of working
QUALIFICATIONS
  • Minimum 2 years relevant work experience
  • Strong understanding of data structures
  • Strong problem solving and analytical mindset
  • Able to influence and communicate effectively, both verbally and written, with team members and business stakeholders

#LI-EMEA

NikeEHQEngineer

NIKE, Inc. is a growth company that looks for team members to grow with it. Nike offers a generous total rewards package, casual work environment, a diverse and inclusive culture, and an electric atmosphere for professional development. No matter the location, or the role, every Nike employee shares one galvanizing mission: To bring inspiration and innovation to every athlete* in the world.

NIKE, Inc. is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.

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