Python questions from Dunnhumby data engineering interviews.
These python questions are sourced from Dunnhumby data engineering interviews. Each includes an expert-level answer. This set leans toward fundamentals — 3 easy, 0 medium, and 0 hard questions. Recurring themes are python — these patterns appear most often in real interviews and reward the deepest preparation. Many of these questions also surface at Delivery Hero and Fragma Data Systems, so the preparation transfers across companies. Average answer is around 1 minute of reading — plan roughly 1 hour to work through the full set thoughtfully.
This collection contains 3 curated questions: 3 easy. There's a strong foundation of fundamentals-focused questions — ideal for building confidence before tackling advanced topics.
The most frequently tested areas in this set are python (3). Focusing on these topics will give you the highest return on your preparation time.
Start with the easy questions to warm up and solidify fundamentals. For each question, try answering before revealing the solution. Use our AI Mock Interview to simulate real interview conditions and get instant feedback on your responses.
Explain the difference between shallow copy and deep copy in Python.
Write a Python function to find the first non-repeating character in a string.
Write a Python function to find the first non-repeating character in a string.
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