Senior AI Engineer - Applied Data at WIRE IT · Remote (Portugal)
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CI/CD
A time you used CI/CD: the problem, what you did yourself, and what happened.
From the ad's requirements
BigQuery
A time you used BigQuery: the problem, what you did yourself, and what happened.
From the ad's requirements
Databricks
A time you used Databricks: the problem, what you did yourself, and what happened.
From the ad's requirements
Docker
A time you used Docker: the problem, what you did yourself, and what happened.
From the ad's requirements
18+ years of experience
How your experience adds up to what they ask for (18+ years), and the parts most like this job.
From the ad's requirements
Languages: English
Be ready to answer a question or two in that language, and say where you've used it at work.
From the job listing
Minimum of 5 years as a data engineer with a track record of end-to-end delivery in fast-paced environments.
An example from your own work that shows this.
From the ad's requirements
Professional fluency in English , are an excellent collaborator between developers and leadership, and have the ability to guide others.
An example from your own work that shows this.
From the ad's requirements
Strong production software engineering
An example from your own work that shows this.
From the ad's requirements
Experience on atleast one,
An example from your own work that shows this.
From the ad's requirements
prompt design, structured outputs, function calling, and evaluation, with the Anthropic and OpenAI APIs. You co-own the AI work, you do not
An example from your own work that shows this.
From the ad's requirements
Candidate reports: questions verified applicants typed in their interview reviews on JobRipe, shown as written.
No candidate has shared interview questions for WIRE IT on JobRipe yet. Use the job ad and our guide below.
Only figures we have enough data for. Nothing is estimated.
We show an employee rating once WIRE IT has at least 5 published verified reviews. Company page
Interview difficulty and process length appear once 5 candidates have reported them.
Our editorial preparation guide: typical questions for the field, not reports from candidates.
Why they ask: Rigour.
How to answer: Metric choice, baselines, offline vs online tests.
Why they ask: Communication.
How to answer: Problem, approach, impact, limits.
Why they ask: CI/CD is named in the posting.
How to answer: One concrete project, one honest lesson.
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Why they ask: BigQuery is named in the posting.
How to answer: One concrete project, one honest lesson.
Why they ask: Opener to see how you frame your story.
How to answer: Two minutes: current role, one achievement that matches this job, why this company now.
Why they ask: Checks ownership and depth.
How to answer: Use situation, action, result. Quantify the result.
Why they ask: Tests accountability and learning.
How to answer: Pick a real failure, own your part, show the fix and what changed afterwards.
Why they ask: Checks judgement under pressure.
How to answer: Describe a concrete framework and one example of a trade-off you made.
Questions to ask them