What Hiring Managers Look For in Data Engineers

Beyond tool names on a CV, data engineering interviews tend to probe a consistent set of practical skills.

Strong SQL

Joins, aggregations, window functions and the ability to reason about query performance come up in nearly every data engineering interview.

Programming for data

Python is the most common choice: writing clean functions, handling files and APIs, and testing code.

Data modelling

Candidates are often asked to design tables for a scenario and explain trade-offs, for example between normalised and dimensional models.

Pipeline thinking

Questions about handling failures, re-runs, late data and schema changes reveal whether someone has operated pipelines in practice.

Communication

Explaining a design clearly to non-engineers is valued because data engineers work with many stakeholders.

Frequently asked questions