Kitopi is the world's leading tech-powered multi-brand restaurant, on a mission to satisfy global appetites. Operating both invested and franchised F&B brands, we serve as enablers in the food market, facilitating brand growth and scalability in delivery, dine-in spaces, and meal plans. As a unicorn startup with global reach and roots in Dubai, our Tech Talent Team is based in Kraków, Poland, and we're celebrating our growth with 100 employees and counting! 🎉

As a pioneer in the food-tech industry, Kitopi's growth is powered by innovative and scalable software solutions. Our kitchens operate with the proprietary Smart Kitchen Operating System (SKOS), an in-house suite of applications optimizing cloud kitchen operations in real-time. Looking ahead, technological innovation, data science, artificial intelligence, and robotics will be at the forefront as Kitopi continues to revolutionize the food industry.

At Kitopi, we are committed to empowering our business and product teams with robust reporting and analytics capabilities, enabling data-driven decision-making and fostering innovation. Collaborating closely with our product squads, we strive to leverage data-powered products to drive growth and enhance operational efficiency. 

Within our structured data organization, comprising both business domain-focused verticals and technical practice-focused horizontals, we recognize the pivotal role of data modeling in elevating our reporting and analytics practices. You’ll be working with a team of Data Engineers, ML Engineers, and Data Analysts in collaboration with product and business managers across the company’s data ecosystem to design and continue to scale the data models that make up our data warehouse and support decision-making across our product and business. 

What You'll Do:

In brief: 

• Set up the data modeling practice, processes, and platform. Own the data models that make up our data warehouse. 
• Lead the highly iterative dimensional modeling process. 

In detail: 

• Develop a comprehensive understanding of our products and operations and become intimately familiar with the source data and its generating systems, using a combination of documentation, direct interaction with engineering teams, and systematic data profiling. 
• Collaborate with the data, product, and business teams to gather and distill their reporting and analysis requirements and work together to design effective data models that accurately represent the underlying business processes. 
• Establish data modeling and naming standards that promote consistency and best practices across the data warehouse and communicate these standards effectively to the broader data team. 
• Define and maintain a high-level data warehouse architecture, including fact, dimension, and aggregation layers, and the relationships between them. 
• Work with members of the data team to design data models that effectively measure performance and capture the performance drivers for the various business processes in our complex business. 
• Write, maintain, and communicate data design documentation to ensure that the broader data team has a clear understanding of our data models and how they work. 
• Oversee the implementation of data models, ensuring that they are accurate, efficient, and scalable, and that they meet the reporting and analysis needs of the broader organization. 
• Develop, maintain, and manage the end-to-end data modeling process, from requirements gathering to model design to implementation and ongoing maintenance. 
• Collaborate with the data engineering team to design effective data pipeline infrastructure, abstractions, and tooling that support our data modeling efforts. 
• Collaborate with cross-functional teams to understand specific analytics requirements and create standardized data models that empower end-users to independently generate insights through self-service analytics tools.  
• Advocate for data modeling depth, rigor, and consistency across the data and business teams, and coach data scientists and engineers on the principles of effective data modeling. 

What Are We Looking For:

• At Kitopi, we value alignment with our mission and principles. The successful candidate will share these values and work in accordance with them. 
• A Bachelor's or Master's degree in Engineering, Computer Science, Technology, or similar is required. 
• 5+ years of experience working in data, with experience spanning multiple data disciplines, including data science, data engineering, data analysis, and data warehousing.  
• 3+ years of experience in data modeling at a high-growth consumer product company or similar. 
• Keen on gaining a deep understanding of our business, product, and operations. You should have a piercing eye for important business questions that the data models would be able to answer. 
• A drive for consistency, a mind for abstraction, and attention to detail are necessary traits for this role 
• Experience with modeling diverse product and business processes, including operational process data (e.g., Kitchen Operations, Logistics, and Supply chain), D2C (mobile app event tracking, A/B testing), Growth data (Marketing, brands, sales and food menu), Customer experience(retention, contact center, feedbacks, ratings and reviews), Strategic data(market expansion, kitchen-brand fit), scrapping data(brand health and competition landscape), Subscription data (for our meal plans), user experience(for our dine-in and QSR), experimentation (for our product initiatives) and financial data. 
• A strong grasp of dimensional modeling concepts, such as fact table grain definition, logical views, dealing with non-additive facts, periodic and accumulating snapshots, changing dimensions, and bridge tables. 
• Experience in designing data pipelines (e.g., AirFlow DAGs), including identifying dependencies, opportunities for abstraction, and performance bottlenecks. 
• Deep familiarity with relevant technologies is a plus. 

Technologies we use:

• Data Warehouse / Big Data: Snowflake, ADL, and Postgres 
• Reporting: Power BI 
• Data Pipelines: Kafka, Python, SQL, Airflow, Airbyte, and DBT 
• ML Ops: Amazon SageMaker 
• Platform: AWS 
• Repository: Gitlab 
• Analysis: SQL, Python, and Excel 
• Presentation: Power BI, Excel 365, and PowerPoint 
• Documentation: Confluence 
• Sprints and Backlog: Jira

Perks & Benefits:

• ESOP - Employee Stock Option Plan 
• You choose a form of employment (26 paid days off on B2B)
• Additional paid days off for volunteer activities
• U-Day - time for medical check-ups, examinations, or diagnosis
• Top-notch equipment: high-end MacBook Pro + additional accessories
• Support for your development:
• 2 000 PLN growth annual budget available to every employee 
• internal initiatives: webinars/workshops, knowledge-sharing sessions internal conferences (Kitopi Academy 
• mentoring program 
• Freedom Day - time for things you are passionate about 
• free English classes with a native speaker
• Worksmile benefit platform (private medical healthcare, Multisport card, vouchers, etc.) 
• Life insurance 
• Mental health support - free access to online sessions with a professional therapist
• Wellbeing program - tailored to the needs of our employees including physical & mental health, and socializing activities 
• Referral bonus 
• Flextime and Flexplace: adjust your daily schedule to your individual needs
• Great office with fruit & snacks, social budget for every team & awaydays, and more!