Data Engineer (Food Delivery)

Company Background

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.

Project Description

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.

Technologies

• Python

• PySpark

• SQL

• Spark

• AWS (S3, EMR)

• Git

• Jenkins

• CI/CD

• PyCharm

• Distributed Systems

What You'll Do

• 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;

Job Requirements

• 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;

What Do We Offer

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.