Data Engineer Test

Data engineer tests help employers gain a greater insight into a candidate's skills and knowledge, to determine whether they have the requirements to be a successful data engineer.

  • What is a data engineer test?

    A data engineer test helps determine whether candidates have the technical skills and knowledge for a role as a data engineer. Employers can assess candidates on a variety of topics including practical, programming and data modelling skills, through multiple-choice questions.

    Applicants are sent the test during the early stages of the recruitment process. The test provides insight into each individual's strengths and weaknesses and automatically compares this data with other candidates, allowing you to make bias-free shortlisting decisions.

    A high score in a test indicates that a candidate might have the level of experience and skills needed to succeed in the role of a data engineer.

About the Data Engineer Test

A data engineer has many responsibilities; their role in an organisation helps facilitate the work of other data specialists such as data scientists and business analysts. They often need to build, combine and maintain data from multiple sources, to enable others to analyse this data.

The data engineer test assesses a candidate's proficiency in carrying out these tasks, meaning that you can shortlist the most suitable candidates for your role.

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  • Why should you use a data engineer test for recruiting?

    A data engineer test helps assess several skills required to be successful as a data engineer. The results can then be used alongside those gained from other parts of the recruitment process, to better understand a candidate's technical skills and competencies.

    Typical skills assessed in a data engineer test include a candidate's practical knowledge and understanding of data modelling techniques, data warehousing, their ability to interpret patterns of data, and building algorithms.

    Those who demonstrate these essential skills at the required level can then be progressed to the next stage of the recruitment process. Those that don't can be eliminated from the process.

    A data engineer test is suitable for the following positions:

    • Big Data Engineer
    • Cloud Data Engineer
    • Azure Data Engineer
    • AWS Data Engineer
    • Technical Architect
    • Solutions Architect
    • Big Data Analyst
    • Software Engineer
Picked Sample Report

View a sample report

Results for the Data Engineer Test along with other assessments the candidate takes will be compiled to produce a candidate report. The report is automatically generated and available both online and as a downloadable pdf so they can be shared with other team members and employees alike.

How our test assesses data engineer skills

Candidates will need to answer a range of questions that measure industry-specific technical skills where applicable (e.g. Microsoft Excel), soft skills (e.g. teamwork), aptitude (e.g. numerical reasoning) and relevant personality dimensions (e.g. integrity). The results present a holistic view of how well suited each candidate is for the job at hand, using a data-driven approach.

The format varies by type of question, including multiple-choice for aptitude and technical skills, situational judgement for soft skills and agreement on a Likert scale for the personality dimensions. This approach ensures candidates are being assessed in an accurate and fair manner, and that results reflect the true underlying qualities of each candidate.

The characteristics, abilities and knowledge necessary to be a data engineer were identified using the US Department of Labor's comprehensive O*NET database. O*NET is the leading source of occupational information that is constantly updated by collecting data from employees in specific job roles.

During the development process, test questions were rigorously analysed to maximise reliability and validity in line with industry best practices. They were created by our team of I/O psychologists and psychometricians – who collaborated with subject-matter-experts – and field-tested with a representative sample of job applicants who have varying experience, just like you might find in a talent pool.

Each test is reviewed by a panel of individuals representing diverse backgrounds to check for any sensitivity, fairness, face validity and accessibility issues. This ensures each candidate has a fair chance of demonstrating their true level of expertise.

Our data engineer test is monitored to ensure it is up-to-date and optimised for performance.


Predictor of job success

Picked provides evidence-based recommendations for tests to use for over 750 jobs. Our recommendation engine leverages data from the Occupational Information Network (O*NET) developed by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA).


Access real assessments

Instant access to our full testing suite.

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    Fully accredited

    All our Data Engineer tests are written by accredited psychologists and fully validated.

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    For all levels

    We offer Data Engineer tests for all levels so you can assess all roles within your organisation.


Energize selection process

Streamline hiring with our out-of-the-box tools.

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    Smart automations

    Automated actions such as alerts and reminders ensure a smooth candidate experience.

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    Instant results

    Receive candidate results in real-time so you can make decisions in hours, not days.


Make better hires

Improve hiring with bias-free, data-driven decisions.

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    Analytics dashboard

    Our full array of candidate performance metrics will provide actionable data on each of your candidates.

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    Candidate comparison

    Simple, easy-to-use candidate comparison reports mean you don’t need to be a psychologist to interpret them.

“We used Picked as part of our Finance Graduate Scheme recruitment and it was just what we needed – really simple to send candidates the link to complete and clear to see how they all compared. And great value for money!”
Christina, HR Director, Cancer Research, UK
Christina, HR Director, Cancer Research, UK
Data Engineer Test expert

Written by a Data Engineer Test expert

Our team of assessment experts is made up of I/O psychologists and psychometricians who are dedicated to making all of our tests as reliable, valid and fair as possible. They strictly adhere to best practices in the industry and stay on top of the latest innovations to ensure job candidates’ unique profiles of characteristics, abilities and knowledge are being measured accurately while minimising bias. They leverage decades of research and advanced predictive analytics to build assessments that link to outcomes that matter, such as job performance, turnover, engagement, culture fit and more.

“Personality profiling allowed us to perform lookalike modelling of our most successful employees and use this as a blueprint for new hires.”
Nick, HR Operations, Airbus, Spain
Nick, HR Operations, Airbus, Spain

Data Engineer Test FAQs

What other tests can be used to help recruit a data engineer?

Other tests you might consider using to recruit a data engineer include spatial, logical or abstract reasoning, and programming language tests. Personality tests can also be useful to assess cultural fit within an organisation or team.

When in the application process is it best to use a data engineer test?

To achieve the maximum effect in terms of time and cost-effectiveness, it is best used in the early stages of the process. This enables you to eliminate candidates who don't demonstrate the key skills you are looking for earlier, and focus on the more suitable candidates.

Can I get a free trial?

Yes, simply sign up (no credit card is required) and we'll give you unlimited access for seven days. Create as many jobs and test as many candidates as you want; you won't be charged a penny.

What is the cost for Picked's data engineer test?

Picked operates on a monthly or annual subscription basis. We have several plans to suit your hiring needs, which you can check out here. Alternatively, you can get in touch with us to discuss a custom plan.

“Focusing on data reduced the subjective decision making from our hiring process and allowed us to reduce bias and make better hiring decisions.”
Izzie, Head of HR, iZettle, Sweden
Izzie, Head of HR, iZettle, Sweden

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