Data Engineer

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.
At Kitopi, we collaborate closely with business and product stakeholders to facilitate data-driven decision-making. Our data organization is structured around data verticals that focus on specific business domains, as well as data horizontals that specialize in different practices. Data engineering is one of these practices, and as a data engineer, you will work alongside other data engineers and cross-functional teams, including analysts, ML engineers, BI specialists, data modelers, platform engineers, and backend engineers.  

Responsibilites:

• 
  
In brief:
• Design, build, and continuously scale the data ingestion, preparation, modeling, and aggregation in our data warehouse, while ensuring data quality and implementing industry best practices. 
• Contribute to improvement of the existing data products and take part in conducting POCs for new data products 
• Develop a deep understanding of our business domain and use this knowledge to drive the maturation of data in the warehouse there by supporting the creation of valuable insights that enable data-driven decision making across our product and business teams 

In detail: 
• People: Collaborate closely with Horizontal Data Engineers, Data Architect, and Data Modeller to develop scalable data pipelines and maintain the infrastructure. 
• People: Work closely with the Data Vertical Leader and Data Analysts to gain domain knowledge of the business and identify opportunities for building the best data solutions. 
• Build ETL solutions for Real-Time and Batch Data processing using various platforms and technologies in a cloud computing environment. 
• Design programmatic solutions and translate them into code that works with Gitlab CI/CD, Docker, Terraform, and Kubernetes. 
• Build a comprehensive view of all customer interactions to enable personalisation and a better user experience with reliable data. 
• Data Horizon: Help identify new sources of data from your squad developments, and collaborate closely with the Vertical Data Analyst to build business-driven models for use by other business functions and Data Scientists. 
• Partnership: Work in partnership with the Horizontal Data Team to improve platform capabilities around data modeling, testing platforms, data visualization, and data architecture. 
• Governance: incorporate and help shape company-wide data governance policies. 
• Maintain and monitor the data pipelines within the data products that you build, and Horizontal Data Team infrastructure. 
• Data Quality: Adopt best practices in reporting and analysis, including data integrity, data security, analysis, validation, and documentation to ensure data quality. 

Requirements:

• At Kitopi, we value alignment with our mission and principles. The successful candidate will share these values and work in accordance with them. 
• Bachelor's or Master's degree in Engineering, Computer Science, Technology, or similar. 
• 2+ years of hands-on experience developing production quality code in data engineering at high growth consumer product company or similar 
• Professional experience using Python and SQL for data processing 
• Demonstrably deep understanding of