Data Engineer

Why SuperApp?

YUM! SuperApp is a best-in-class application that optimizes restaurant operations and creates the best jobs.

We are proud to be part of Yum! Brands & Digital Technology, a company with over 55,000 restaurants across more than 150 countries and territories, under its leading worldwide restaurant brands - KFC, Pizza Hut, Taco Bell, and The Habit Burger Grill.

SuperApp is an all-in-one mobile platform specifically designed for streamlined restaurant operations. It's packed with a range of tools tailored to the needs of restaurant managers and staff, enabling them to efficiently manage daily tasks, benefit from data-driven suggestions, get timely operational prompts, and stay updated with an interactive activity feed.

The innovative edge of the SuperApp lies in its 'brain layer'-an advanced recommendation engine that compiles data through different operational data sources. This engine employs machine learning to offer smart insights, thereby enhancing the decision-making process and restaurant operations.

Our team operates globally with offices in the UK, Dubai, and US, as we are now installed in over 14,000 stores worldwide.

The Job

• Data Pipeline Development: Design, build, and optimize scalable data pipelines to move and transform data efficiently.
• Data Integration: Use Informatica to develop ETL workflows, ensuring high-quality, error-free integration from multiple data sources into Snowflake.
• Data Warehousing: Leverage Snowflake to create and maintain efficient data warehouse structures, including designing and optimizing data models and managing data storage.
• Data Transformation: Develop scripts and leverage Informatica's tools for data cleansing, transformation, and loading to support data analytics and reporting.
• Data Quality Assurance: Monitor data pipelines and resolve data quality issues by identifying discrepancies, ensuring the accuracy and reliability of data.
• Performance Tuning: Optimize data flows, queries, and Snowflake configurations to improve performance, reduce costs, and enhance scalability.
• Collaboration: Work closely with team members, and business stakeholders to understand data requirements and deliver solutions that support their needs.
• Documentation: Maintain clear, accurate documentation of data models, data flows, ETL processes, and troubleshooting steps.
• Sharing knowledge and experience with other departments/teams.
• Working time: 40 hours/week

Your Skills and Experience

• Minimum 1.5 - 2-year experience in Data Engineer with specific expertise in Snowflake and Informatica.
• Snowflake: Strong understanding of Snowflake architecture, SQL, data modeling, and performance tuning.
• Informatica: Proficient in Informatica PowerCenter or Informatica Cloud for ETL development, mapping, and workflow management.
• SQL: Advanced SQL skills, with the ability to write, debug, and optimize complex queries.
• Data Warehousing: Knowledge of data warehousing principles.
• Scripting and Automation: Familiarity with Scala, Apache Spark, Python for automation tasks and data processing at scale.
• Strong analytical thinking, problem-solving skills, and the ability to work collaboratively in a team environment.
• Proficiency in English.
• Good written and verbal communication skills, with the ability to present data-related issues and solutions clearly.

Optional Requirements (nice to have)

• Experience with other ETL tools or cloud services (e.g., AWS Redshift, Google BigQuery).
• Familiarity with data governance and security best practices.
• Exposure to DevOps practices and CI/CD pipelines for data deployments.
• Basic understanding of business intelligence (BI) tools, such as Power BI, DOMO.

Attractive Benefits:

• 100% salary during the probation period.
• Annual Leave: 18 days/year.
• Five "Recharge Days" - Extra days, in addition to company holidays.
• 1 Day off paid leave for your birthday + birthday gift
• Half-day Fridays.
• Full salary insurance.
• 13th-month bonus.
• Advanced health insurance (Generali).
• Regular team and engagement activities.
• LinkedIn learning & training courses, based on company policy.
• MacBook and Monitors.