Interview questions
Preparing for a data engineering interview at Deloitte? This page contains 10 real interview questions sourced from verified Deloitte interview experiences. Questions are sorted by frequency — the ones asked most often appear first.
Deloitte data engineering interviews typically focus on Cloud/Tools, SQL, and Spark/Big Data. The interview bar skews toward harder problems (6 hard vs. 2 easy), suggesting emphasis on depth and system-level thinking.
Use the difficulty filters above to focus your preparation. For each question, attempt your own answer first, then compare with our expert solution. You can also practice these questions in our AI Mock Interview Coach for real-time feedback.
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?
Type or paste your answer to any of these questions and our AI Coach scores it, highlights gaps, and rewrites it at FAANG quality. Free to try.