Real interview questions asked at Deloitte. Practice the most frequently asked questions and land your next role.
Deloitte data engineering interviews test your ability across multiple domains. These questions are sourced from real Deloitte interview experiences and sorted by frequency. Practice the ones that matter most. This set leans toward senior-level depth (6 of 10 are tagged hard). Recurring themes are partition, spark, and optimization — these patterns appear most often in real interviews and reward the deepest preparation. Many of these questions also surface at Incedo and Datametica, 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 10 curated questions: 2 easy, 2 medium, and 6 hard. The distribution skews toward harder problems, reflecting the depth expected in senior-level interviews.
The most frequently tested areas in this set are partition (5), spark (4), optimization (3), join (2), lakehouse (1), and sql (1). 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. Medium-difficulty questions form the bulk of real interviews — spend the most time here and practice explaining your reasoning out loud. Hard questions often appear in senior and staff-level rounds; attempt them after you're comfortable with the basics. 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 Fact and Dimension Tables with examples.
Architect incremental load in ADF + Databricks with idempotency, late-arrival handling, and cost/scalability implications of watermark vs. change data capture.
ADF Optimization Techniques?
Data Load in Synapse Table?
Error Handling in ADF?
Parallel Copies in ADF?
Synapse Analytics Features and Use Cases?
Notebook Optimization Strategies?
Where to store secret keys?
How to check Spark version?
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