Interview
Questions
Accenture: AI-Assisted Data Engineering
Independent spoken interview practice informed by public role responsibilities. These are practice prompts, not verified questions asked by the employer.
Practice these questions directly. An editable copy is yours to change; the original stays unchanged.
Walk me through a data pipeline you designed from scratch. What were the key decisions you made, and what trade-offs did you consider?
How do you decide between batch and streaming processing for a given use case? Describe a situation where you made this architectural decision.
How do you approach testing for data pipelines and transformations? What strategies have you found effective for catching issues before they reach production?
Describe a time you had to validate the accuracy of an AI-generated output.
A client wants an AI agent to act on a data pipeline your team maintains. How would you define the data quality, freshness, lineage and access guarantees, and decide what the agent should do when those guarantees fail?
Data engineers often work closely with analysts and data scientists. Tell me about a time you collaborated with these stakeholders to understand and deliver their data needs.
Data engineering work often impacts business decisions. Describe a time you explained technical data concepts or limitations to non-technical stakeholders. How did you ensure understanding?