Data Engineer III

Job Description

McDonald’s growth strategy, Accelerating the Arches, encompasses all aspects of our business as the leading global omni-channel restaurant brand. As the consumer landscape shifts we are using our competitive advantages to further strengthen our brand. One of our core growth strategies is to Double Down on the 3

Ds (Delivery, Digital and Drive Thru). McDonald’s will accelerate technology innovation so 65M+ customers a day will experience a fast, easy experience, whether at one of our 25,000 and growing Drive thrus, through McDelivery, dine-in or takeaway.

McDonald’s Global Technology is here to power tomorrow’s feel-good moments. That’s why you’ll find us at the forefront of transformative technology, exploring new and innovative ways to serve our millions of customers and spread happiness one delicious Hot Fudge Sundae-dipped fry at a time. Using AI, robotics and emerging tech, we’re digitizing the Golden Arches. Combine that with our unparalleled global scale, and we’re reshaping all areas of the business, industry and every community that is home to a McDonald’s restaurant.

We face complex tech challenges every day. But that’s where our diverse and talented teams come in. They’re made up of the best and brightest from all over the globe, and they thrive in the space where feel-good meets fast-paced.

McDonald’s is creating smarter, more responsive digital and data systems that transform operations and elevate guest experiences. The Enterprise Data, Analytics, and AI (EDAA) organization empowers every function—marketing, operations, supply chain, and more—through seamless integration of business and technology.

McDonald’s is hiring a Data Engineer III, focused on Digital Payments data ingestion, curation and analytics. This area covers data flowing from our payment providers and McDonald's payment services. This role sits within Data Analytics, Architecture and AI. This group manages data from various areas of the business, including Sales, Restaurant, Finance and People, and many more. You will work alongside passionate data engineering professionals and business stakeholders focused on Digital Payments, Treasury and Mar Tech.

• Builds and maintains relevant and reliable Menu data products that support menu and marketing Analytics. Develops and implements new technology solutions as needed to ensure ongoing improvement with data reliability and observability in-view.

• Participates in new software development engineering and Lead data engineering initiatives supporting Product Mix Analytics, ensuring timely and accurate delivery of marketing and menu-related products.

• Work closely with the Product owner and help to define business rules that determines the quality of Menu datasets.

• Drive and implement best practices for pipeline development, data governance, data security and quality across marketing and menu-related datasets.

• Ensure scalability, maintainability, and quality of data systems powering menu item tracking, promotion data, and marketing analytics.

• Staying up to date with emerging data engineering technologies, trends, and best practices, and evaluating their applicability to meet evolving Product Mix analytics needs.

• Documenting data engineering processes, workflows, and solutions for knowledge sharing and future reference.

• Mentor and coach junior data engineers, particularly in areas related to menu item tracking, promotion data, and marketing analytics.

• Ability and flexibility to coordinate and work with teams distributed across time zones, as needed

• Bachelor's or master's degree in computer science or related engineering field and deep experience with Cloud computing

• 5+ years of professional experience in data engineering or related fields

• Proficiency in Python, Java, or Scala for data processing and automation

• Hands‑on experience with data orchestration tools (e.g., Apache Airflow, Luigi) and big data ecosystems (e.g., Hadoop, Spark, No
  
  SQL)

• Expert knowledge of Data quality functions like cleansing, standardization, parsing, de‑duplication, mapping, hierarchy management, etc.

• Deep…