01 · 20 QUESTIONS · 10 MINUTES
SQL
Checks whether candidates can write the queries the job needs, not just read them.
- Queries & filtering
- Joins & relationships
- Working with databases
A ready-made selection of tests for Data Engineer candidates. See how they approach the skills that matter, then focus your interviews on the results.
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Your Data Engineer assessment will be prepared after signup.
Data Engineer assessment
A CLEARER VIEW OF THEIR SKILLS
Compare strengths. Explore the detail. Ask better questions.
Illustrative results · Fictional candidate
WHAT THE ASSESSMENT EXPLORES
The Data Engineer template combines SQL, Python, PostgreSQL, Docker, Problem Solving, Linux. Review the selection against the work your vacancy involves.
01 · 20 QUESTIONS · 10 MINUTES
Checks whether candidates can write the queries the job needs, not just read them.
02 · 18 QUESTIONS · 10 MINUTES
Checks Python knowledge for building applications, scripts and data work.
03 · 15 QUESTIONS · 10 MINUTES
Checks PostgreSQL knowledge for querying, indexing and maintaining a database.
04 · 15 QUESTIONS · 10 MINUTES
Checks knowledge of containers, images and how they are built and run.
05 · 8 QUESTIONS · 10 MINUTES
Shows how candidates break down a workplace problem and choose between options.
06 · 15 QUESTIONS · 10 MINUTES
Checks the command line and system knowledge needed to run Linux servers.
A COMPLETE SKILLS PICTURE
Explore data accuracy, analysis and clear conclusions.
You receive a result for each included test: SQL, Python, PostgreSQL, Docker, Problem Solving, Linux. Compare the relevant areas separately and use a follow-up task based on checking a data query and validating the output.
Keep the recommended selection or adjust it before inviting candidates.
A MULTILINGUAL TEST SUITE
Assess candidates in the language they work in.
Languages across our wider suite. Availability varies by test and level; check each test when preparing your assessment.
TRY AN EXAMPLE QUESTION
Explore an example in the context of checking a data query and validating the output. It gives you a way to discuss the reasoning behind a candidate’s answer, alongside the Data Engineer assessment results.
In this Data Engineer example, checking a data query and validating the output is part of the work. A report must use one consistent date range for every comparison. One source covers a different date range from the other sources.
A PRACTICAL GUIDE
This template combines multiple-choice questions in SQL, Python, PostgreSQL, Docker, Linux; workplace situations in Problem Solving. It brings together evidence about data accuracy, analysis and clear conclusions, giving you areas to explore when checking a data query and validating the output.
Review each result against your vacancy’s responsibilities. Use a short task based on checking a data query and validating the output to explore practical application. Ask them to explain filtering and joins, check edge cases and verify the output against the brief.
SEE THE RESULTS FOR YOURSELF
Explore a complete sample report, from test results and candidate comparisons to focused interview questions.
BEFORE YOU START
Yes. Start with SQL, Python, PostgreSQL, Docker, Problem Solving, Linux, then keep the tests that match your responsibilities. For example, use SQL to explore queries & filtering. You can add or remove tests before inviting candidates.
Candidates answer multiple-choice questions in SQL, Python, PostgreSQL, Docker, Linux; workplace situations in Problem Solving online. They do not complete your day-to-day work inside your own systems. Add a short work sample based on checking a data query and validating the output to explore application alongside the test results.
Checks whether candidates can write the queries the job needs, not just read them. Ask how they would filter records, join related tables and verify a query result. Review whether this area reflects the responsibilities of your vacancy before retaining it.
The recommended selection contains 6 tests and allows 60 minutes across its timed tests. Adding or removing tests, or adjusting time allowances, can change the total.
Yes. Review SQL, Python, PostgreSQL, Docker, Problem Solving, Linux separately so a strength in one area does not hide a gap in another. Use the detail to focus interviews and relevant work samples. View the sample report.
After signup, your Data Engineer selection is prepared for review. Adjust it, invite candidates and see your first 5 candidate results free. No credit card is required. See pricing for further results.
5 free candidate results · No credit card required