Data Engineer (Food Delivery)

Our client is a leading online and mobile food ordering company operating in over 1,600 U.S. cities and London. With a portfolio of well-known food delivery brands, they serve millions of diners and process hundreds of thousands of orders daily. The company supports a large and growing restaurant network and prioritizes excellent customer experience through 24/7 support, innovative technology, and scalable infrastructure.

This role is part of the data engineering team focused on marketing analytics and reporting infrastructure. You’ll enhance and extend a big data platform that supports marketing activities, senior-level metrics dashboards, and customer engagement systems. The role offers a unique opportunity to design and build end-to-end solutions for data storage, transformation, and visualization - ensuring that business decisions are data-driven and scalable.

• Python
• PySpark
• SQL
• Spark
• AWS (S3, EMR)
• Git
• Jenkins
• CI/CD
• PyCharm
• Distributed Systems

• Design, build, and maintain large-scale data pipelines using Spark and PySpark;
• Develop robust ETL processes to support automated analytics, performance monitoring, and campaign reporting;
• Collaborate with marketing and analytics stakeholders to translate business needs into technical requirements;
• Write unit tests and leverage CI/CD tools to ensure high code quality and performance;
• Support and improve existing data infrastructure while planning for long-term scalability;
• Ensure efficient data processing using distributed systems and cloud-native services;
• Contribute to architectural decisions and recommend best practices for data handling, modeling, and storage;

• 6+ years of experience in Spark and SQL development;
• Solid Python programming experience with emphasis on data engineering;
• Experience with PySpark in distributed environments;
• Familiarity with cloud services (especially AWS S3 and EMR);
• Knowledge of ETL, data modeling, and performance optimization;
• Understanding of software engineering best practices (e.g., unit testing, CI/CD, Git);
• Strong communication skills and ability to explain technical concepts clearly;
• Attention to detail and a strong sense of ownership;
• English - B2 or higher;

The global benefits package includes:

• Technical and non-technical training for professional and personal growth;
• Internal conferences and meetups to learn from industry experts;
• Support and mentorship from an experienced employee to help you professional grow and development;
• Internal startup incubator;
• Health insurance;
• English courses;
• Sports activities to promote a healthy lifestyle;
• Flexible work options, including remote and hybrid opportunities;
• Referral program for bringing in new talent;
• Work anniversary program and additional vacation days.