DHL Data Engineer Interview Questions + Guide in 2025

DHL is a global leader in the logistics and supply chain industry, with a commitment to connecting people and improving lives through innovative solutions.

As a Data Engineer at DHL, you will play a critical role in the Advanced Analytics & Customs Reporting team, where you'll be responsible for delivering optimized business solutions through data analytics and reporting. Key responsibilities include developing and maintaining data architecture for existing and new applications, leveraging technologies like Snowflake and Power BI. You will collaborate closely with project teams to ensure business requirements are met while overseeing end-to-end solution and data architecture. Your expertise in data modeling and design will be crucial as you navigate complex data structures and lead discussions during User Acceptance Testing (UAT) defect reviews.

To excel in this role, you should possess strong experience in analytics, data architecture, and data warehouse design, alongside a readiness to engage in hands-on coding to meet business objectives. Familiarity with Java/Python-based microservices and application security architecture will be advantageous, as will experience working with both structured and unstructured data.

This guide will help you prepare for your interview by providing insights into the specific skills and experiences that DHL values, enabling you to present yourself as a strong candidate aligned with the company’s mission and operational needs.

Typically, interviews at Dhl vary by role and team, but commonly Data Engineer interviews follow a fairly standardized process across these question topics.

We've gathered this data from parsing thousands of interview experiences sourced from members.

Practice for the Dhl Data Engineer interview with these recently asked interview questions.