Data Steward Intern
Dubai |Internship – Internship / Full-Time / On-site Kitopi is the world’s leading tech-powered multi-brand restaurant. With a mission to satisfy the world’s appetite, Kitopi operates a portfolio of both invested and franchised F&B brands, serving as enablers in the food market by helping brands to grow and scale, both in the delivery and dine-in space.
Launched in Dubai, UAE in January 2018, Kitopi has grown to become one of the greatest success stories in the cloud kitchen and food tech space. In July 2021, Kitopi announced its $415 million Series C funding round, led by the world’s largest technology-focused investment fund, Softbank Group Corp’s Vision Fund 2. This investment catapulted Kitopi to the prestigious Unicorn status, making it the fastest Unicorn to have emerged from the MENA region.
As a leading food-tech business, Kitopi’s growth has been largely fueled by its innovative and scalable software solutions. Kitopi’s kitchens are powered by its proprietary Smart Kitchen Operating System (SKOS) - an in-house suite of applications that optimizes cloud kitchen operations in real-time. As part of its growth roadmap, technological innovation, data science, artificial intelligence, and robotics will take center stage as Kitopi continues to reinvent the food industry as we know it today.
With over 4,000 employees, Kitopi currently operates 200+ locations across the UAE, KSA, Kuwait, Bahrain, and Qatar, and runs its engineering hub in Krakow, Poland, its robotics hub in Denmark, and its global customer experience center in Dubai, UAE.
The Data Steward is responsible for implementing changes to product and recipe data within the system, with a primary focus on maintaining data quality and accuracy.
+ Proficiency in data management and manipulation techniques.
+ Strong communication skills to collaborate effectively with various stakeholders.
+ Detail-oriented with a focus on accuracy and precision.
+ Ability to identify and address data quality issues proactively.
+ Experience with error detection and correction methodologies is a plus.
+ Proficiency in MS Office, particularly MS Excel, for data management tasks.
+ Ability to utilize MS Excel for data analysis and manipulation.
+ Familiarity with process improvement techniques is advantageous.
