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Data

How to hire a data engineer

A practical selection guide: deliver trustworthy datasets that downstream teams can use.

01 / START WITH THE WORK

Define success before sourcing.

Deliver trustworthy datasets that downstream teams can use.

Write down the decisions this person will own and the work they will deliver. Share those expectations with everyone involved in interviewing. A useful brief distinguishes what must be demonstrated on arrival from what can be learned after joining.

02 / LOOK FOR EVIDENCE

Make the assessment relevant.

SUGGESTED INTERVIEW EXERCISE

Design a pipeline with late events, schema changes and quality checks.

Keep the exercise proportionate and tell the candidate what you are assessing. Ask about their reasoning, constraints and alternatives. Record evidence against agreed criteria before the interview panel compares impressions.

BUILD AN INTERVIEW SCORECARD

Decide what counts before you meet anyone.

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03 / JUDGEMENT OVER ASSUMPTIONS

Watch for this hiring trap.

A pipeline that runs is not necessarily a dataset that can be trusted.

Separate missing evidence from negative evidence. A follow-up question may resolve uncertainty more fairly than an assumption. Keep the same core criteria across candidates while allowing different experiences to demonstrate the capability.

Agree the criteria, the evidence that would satisfy each one, and who owns the final decision. Write down what would change your mind, so a strong first impression cannot quietly replace the criteria.

04 / MAKE THE NEXT STEP CLEAR

A brief worth sharing.

Before starting, capture the role purpose, expected outcomes, rate or salary parameters, working location and interview owners. Confirm how feedback will be collected and who makes the final decision.

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Brief readiness0 of 6 covered · kept on this device
Prepare a hiring brief
A LITTLE MORE CLARITY

Good questions.
Clear answers.

Still deciding? A short conversation is usually faster than another round of research.

Ask us directly

Design a pipeline with late events, schema changes and quality checks.

A pipeline that runs is not necessarily a dataset that can be trusted.

No. These pages explain role scope, engagement models and hiring decisions. Confirm rates against your own budget and current market research. The role library is a reference, not a list of open positions.

Tell us what the work is.
We will tell you what it needs.

One engineer, a full product team, or a team to own delivery. Start with the problem.

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