26 DATA ENGINEER Interview Questions & Answers

(How To Pass A Data Engineering Job Interview!)

Here’s the FULL LIST of DATA ENGINEER INTERVIEW QUESTIONS AND ANSWERS:

Q1. Tell me about yourself.

SUGGESTED ANSWER:

“I would describe myself as an industrious, astute, and technically-focused data engineer who has the capacity to take on a large workload and deliver everything that is expected of me to a high standard, and on time. I have a track record of achievement. For example, in my last role, the organization had never employed a data engineer before. I helped them build a new algorithm that enabled the data scientists and business analysts to quickly access the company’s large database to identify trends and customer behaviour which, in turn, increased customer satisfaction rates, revenue, and profits. In my work as a data engineer, I always focus on improving the reliability and usability of company data. Whilst I would describe myself as a highly technical data engineer, I also have excellent interpersonal and soft skills that mean I can communicate my findings and recommendations in an easy-to-understand manner, and because I am commercially driven, everything I do will be geared towards helping you maintain your position as a market leader. Finally, if you hire me as a data engineer, I will make sure you see a strong return on your investment, and I will always take ownership of my ongoing professional development so the work I do is hugely beneficial to the company and its strategic objectives.”

Q2. Why do you want to be a Data Engineer?

SUGGESTED ANSWER

“I want to be a data engineer because the work is varied, it requires intense technical skills which I enjoy, and there is always something new and challenging to work on. I really enjoy building and creating things that make others’ lives easier. Although I am a competent collaborator and team worker, I also enjoy working on individual tasks, and I like nothing more than being given a specific technical task which is then down to me to achieve within strict timescales. Being a data engineer requires the skill of identifying new trends and technological advancements. Because I am a strong networker, and I take my professional development seriously, I am usually the first to identify new and exciting ways of working which are often highly useful to the organization I am working for. Finally, I find the earning potential of being a data engineer appealing. I have goals outside of work that I want to achieve, and the only way I will achieve those, is if I work hard, and my employer sees a strong return on their investment through the work I carry out for them.”

Q3. Why do you want to work for us?
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Q4. What are the most important skills and qualities needed to be a Data Engineer?
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Q5. Explain to me in simple terms what data engineering is, and why it is so important.
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Q6. What makes a good Data Engineer?
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Q7. What are your strengths and weaknesses?
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Q8. What is the difference between supervised and unsupervised machine learning?
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Q9. What steps you would follow when commencing a new data engineering project?
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Q10. WWhat is data selection bias?
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Q11. How would you deal with this situation: an online form is being completed but people are then not submitting it. What could the problem be, and how could data be used to determine the exact issue?
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Q12. What is LASSO regularization?
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Q13. Tell me a difficult challenge you recently had to overcome.
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Q14. How would you describe something technical to a non-technical person?
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Q15. How would you resolve conflict with a co-worker?
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Q16. What do you like and dislike the most about being a Data Engineer?
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Q17. What is the bias-variance tradeoff in machine learning?
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Q18. How do you think future technology will impact your job as a Data Engineer?
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Q19. What is Decision Tree algorithm?
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Q20. Tell me about a time when you demonstrated flexibility as a Data Engineer.
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Q21. How would you respond to a senior manager who rejected your data engineering recommendations?
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Q22. Why do you want to leave your job?
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Q23. Why should we hire you?
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Q24. Where do you see yourself in 5 years?
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Q25. What are your salary expectations in this Data Engineer role?
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Q26. That’s the end of your Data Engineering job interview. Do you have questions for us?
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THE SKILLS AND QUALITIES NEEDED TO BE A DATA ENGINEER


To be a competent and effective data engineer, you need a diverse mix of technical, interpersonal, and soft skills. In no particular order, you must have in-depth knowledge of database systems, coding, data warehousing, and an understanding of algorithms and machine learning.

Data engineers are also strong communicators and listeners, they can explain things to non-technical people in a simple, easy-to-understand manner, and they often use critical thinking skills to analyse issues, solve problems, and create solutions to organizational challenges.

Other skills and qualities needed to be a competent data engineer include collaboration skills, commercial awareness, and an understanding of how their role fits into the strategic aims of the business. Finally, data engineers need the desire to take ownership of their ongoing professional development so their knowledge and skills are always updated and relevant to the industry.

What makes a good Data Engineer?

A good data engineer has outstanding problem-solving capabilities, they can listen to a brief, and then find workable solutions that help the business meet its commercial and financial objectives.

A good data engineer will be able to collaborate with, and listen to, line managers and the senior management team to quickly gain a grasp of what the company wants to achieve. They will often work tirelessly to create workable systems and processes that achieve those goals. A good data engineer possesses exceptional technical skills in diverse fields, and they have specialist knowledge in areas such as software engineering and programme languages.

4 ESSENTIAL DATA ENGINEER JOB INTERVIEW TIPS!

The following tips will help you get the most out of your data engineer job interview preparation. Each tip, if followed, will help you be the standout candidate at your forthcoming data engineering interview.

DATA ENGINEER INTERVIEW TIP #1

Research the company you are applying to work at before you attend the interview. This will help you to answer the interview question, why do you want to work for us? Write down a list of things that have attracted you to their company. Useful information can often be found on their website ABOUT US page, and don’t forget to take note of their company values or their mission statement.

 DATA ENGINEER INTERVIEW TIP #2

The 26 questions that appear on this webpage are some of the more common ones asked during data engineering job interviews. Your interview will consist of both technical and motivational questions. We strongly recommend preparing answers to all 26 questions featured on this page, and whilst you will not get asked all of them, it will help to significantly improve your chances of success and confidence levels.

DATA ENGINEER INTERVIEW TIP #3

Prior to your interview, look at the industry or sector they operate in. Look for opportunities from a data engineering perspective and think of ways you can help them grow commercially. When they ask you the interview question, why should we hire you, tell them how you will add value to their organization in the role, and explain how they will see a positive return on their investment if they choose you over the other candidates.

DATA ENGINEER INTERVIEW TIP #4

At the end of your data engineering interview, you will have the opportunity to ask several questions of your own. Avoid questions about pay, company benefits, or holiday. Instead, ask three or four smart questions that show you genuinely want to have a positive impact in the role. Here are four smart questions to consider asking:

QUESTION: What would you need me to concentrate on in this role within the first 30 days of starting work in the role?

QUESTION: What’s the one thing I could do in this role to help your business succeed?

QUESTION: Can you tell me more about the team I would be a part of?

QUESTION: What are the short and long terms goals of the organization, and how could I help you to achieve them as a Data Engineer?

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