Azure Data Engineer Interview Questions: Prepare for Your Next Data Engineering Job Interview

With the growing demand for professional Azure Data Engineers in today’s cloud computing world, more and more individuals are striving to build a prosperous career in this field. 

However, the interview process is not as easy as it may seem as it is quite serious and needs a lot of preparation for the questions. If you are getting ready for an Azure Data Engineer interview, you are in the right place!

Overview of Azure Data Engineer jobs and why they are highly seeked?

Azure data engineers are responsible for building, implementing, and supporting Microsoft BI solutions. Those solutions have to satisfy the market, customer, and/or project needs. 

According to the latest research of Microsoft, as a leading technology company, almost 365,000 businesses register for the Azure platform each year meaning the demand for Azure Data Engineers is growing year by year. 

How to apply for an Azure Data Engineer job and what does the interview process involve?

You can apply for a number of Azure jobs at different job offering websites including the official website of Microsoft. They offer both remote and office positions and you can provide your CV and cover letter. 

Here are some of the best sources to consider for applying for azure data engineer jobs: 


The official website of Microsoft has a special category called “Careers”. Here you can take a look at the available jobs at Microsoft and find azure data engineer jobs. 

  • Click on “Careers” and type the job title to search for jobs.

  • On the next page, you’ll see the available job titles and descriptions.

  • You can filter and examine.

  • Then apply by clicking on “Apply now” or save it to examine it later. 

  • Once you apply, you need to fill out the application form. 

  • You can attach your past projects, CV, and any certifications you have. 


Proxify is one of the leading job offering websites where you can find many remote long-term Azure data engineer jobs and apply for them online. 

  • First, fill out your application form.

  • Then, pass the vetting process.

  • Create a profile.

  • Find a matching project. 

  • Start working at leading brands. 


Indeed is a similar website to Proxify and it offers Azure data engineers jobs with job descriptions. 

  • You can check the info about the job and the company that offers the job.

  • Save the job for later or fill in the application form online. 

  • You can also apply on the company website. 

  • Provide detailed information about your skills, experience, and achievements. 


LinkedIn is another useful website for job seekers. It represents different job positions including Azure data engineer jobs. 

  • You can directly contact the hiring manager and apply for the job. 

  • You can send your CV, certifications, and any other related achievements. 

  • Then, if shortlisted, you’ll be invited for a job interview. 

The interview process

The interview process consists of several stages and includes video or phone call, technical part and practical part. 

  • Online video or phone call: 

    Once you are shortlisted they may call via phone or video and ask you a series of questions about the job role, your skills and experience, as well as their requirements. This usually takes 30-50 minutes.  

  • Technical interview

    During this phase, they will examine your technical and theoretical knowledge about azure, the main tasks of an azure data engineer as well as try to know what you know about your responsibilities. 

  • Practical interview

    If you pass the technical interview too, then you may be invited directly to the office where you may be asked to solve more complex tasks. 

What are the most common questions you should expect during an Azure Data Engineer job interview?

Let’s go into the details and get the answers to basic, intermediate, and advanced Azure Data Engineer interview questions.  

1. Basic Azure Data Engineer Interview Questions and Answers

  1. 1

    What is Microsoft Azure?

    Microsoft Azure is a public cloud platform with more than 200 products and services built both for hardware and software. It comes with solutions that make managing a series of services and tools easier. 

  2. 2

    What is the primary ETL service in Azure?

    ETL is the same as extract, transform, and load in Azure Data factory. It  is a data pipeline that collects data from various sources and then transforms it according to business rules. 

  3. 3

    What is Azure Data Factory?

    Azure Data Factory is a platform meant to solve data scenarios. This cloud-based integration service helps you to create data-driven workflows to orchestrate data movement and transform data at scale. 

  4. 4

    What is the difference between Azure Data Lake and Azure Data Warehouse?

    A Data Lake is massive storage meant for structured and unstructured data. A data warehouse, on the other hand, is highly structured historical data that has a defined purpose. 

  5. 5

    What is Polybase?

    Polybase is a technology that optimizes data ingestion into PDW and supports T-SQL. It can access external data stored in Azure Blob storage or Azure Data Lake Store via the T-SQL language. 

2. Intermediate Azure Data Engineer Interview Questions and Answers

  1. 1

    How is the architecture of Azure Synapse Analytics designed? 

    The Azure Synapse Analytics is designed to process massive data with hundreds of millions of rows in a table. With the help of Azure Synapse Analytics, you can scale your compute and storage levels separately and independently. 

  2. 2

    What are Dedicated SQL Pools?

    Dedicated SQL pools are the enterprise data warehousing features found in Azure Synapse Analytics. It comes with a collection of analytic resources provided when using Synapse SQL. 

  3. 3

    What are the different types of storage in Azure?

    Azure comes with 5 types of storage:

    • Azure Blobs: Microsoft's object storage optimized for massive unstructured data.  

    • Azure Queues: Microsoft's Azure Queues meant to store a massive amount of messages. 

    • Azure Files: Microsoft's cloud storage solution for modern data storage scenarios. 

    • Azure Disks: managed and used by Azure and Azure Virtual Machines. 

    • Azure Tables: schemaless storage used as a NoSQL storage solution to store structured data. 

3. Advanced Azure Data Engineer Interview Questions and Answers

  1. 1

    Explain the various windowing functions in Azure Stream Analytics

    There are 5 windowing functions in Azure Stream Analytics: 

    • Tumbling: consists of fixed-sized time intervals.

    • Hopping: allows the data segments to overlap. 

    • Sliding: starts to function when an event enters or exits the window. 

    • Session: has 3 parameters: timeout, maximum duration, and partitioning key.

    • Snapshot: groups event that has the same timestamp. 

  2. 2

    What is Azure Databricks, and how does it differ from regular data bricks?

    Azure Databricks is an open-source data analytics platform. It’s optimized for the Microsoft Azure cloud services and comes with 3 environments including Databricks SQL, Databricks data science and engineering, and Databricks machine learning.

  3. 3

    What is data redundancy in Azure?

    The data redundancy solutions accessible to Azure clients are: 

    • Locally Redundant Storage: the data is duplicated in different racks between the same data center. 

    • Zone Redundant Storage: ensures that the replication takes place across three Azure availability zones in the primary region.

    • Geo-Redundant Storage: responsible for the data that’s duplicated across two regions. 

    • Read Access Geo Redundant Storage: reads access to the data in the secondary region if there is a failure in the primary region. 

4. Azure Data Engineer Non-Technical Interview Questions and Answers

  1. 1

    Why are you applying for the Azure Data Engineer role in our company? 

    At this stage, you need to convince the interviewer of your importance in their company. So, make sure you are familiar with every detail of the job description and read some info about the company.  

  2. 2

    What is your plan after joining this Data Engineer role? 

    Freshers often come with creative ideas and interviewers look for such employees. They want to see if you are a problem-solving person ready to offer solutions in different situations. 

  3. 3

    Do you have prior experience as a Data Engineer?

    Show your past experience, certifications, achievements, and anything related to the role of a Data Engineer. If you don’t have any experience, it’s still ok. You can show some training you have attended or some impressive skills related to the job. 

Best practices to follow for a successful Azure Data Engineer interview 

  • Preparing for the interview

    Start with analyzing your current knowledge and skills related to data engineering. Make sure you are familiar with Azure Data Factory, Azure Data Lake, Azure Stream, Analytics, and Cosmos DB. 

  • Managing your nerves during the interview

    Keep control over your emotions and try to look a bit relaxed during the interview. Use open body language, smile, and keep eye contact. Don’t be afraid if you don’t know the answer to a certain question. 

  • Answering questions effectively

    To answer the questions effectively, you need to find direct answers. You don’t always need to give quick answers. Note, it’s not a blitz survey. It’s a job interview and you can take some time to think before answering. 

  • Asking thoughtful questions

    At the end of the interview, the interviewer may ask whether you have questions. You can ask questions yourself. They can be engaging, interesting and creative. They can show your views, skills, and knowledge about the topic. 

  • Following up after the interview

    Be polite after the interview and thank them for the time spent with you. Reconfirm your interest in the role and let them know you’ll be following the further steps of the interview. 


The Azure Data Engineer interview is a straightforward and comprehensive type of interview that involves several serious steps.

We have discussed the most important questions regarding this interview and we hope they’ll help you get ready for the interview. 

Frequently asked questions about Azure Data Engineer jobs

What skills do you need to get an Azure Data Engineer job?

If you have the following skills, you may easily get an Azure Data Engineer job. 

  • Data warehousing solutions,

  • ETL tools 

  • Database systems like NoSQL and SQL

  • Machine learning

  • Python, Scala, and Java programming languages 

  • Data APIs 

  • Strong knowledge of data structures and algorithms. 

What are the different job roles of an Azure Data Engineer?

From engineers or business intelligence analysts, you can become an advanced-level professional in your career and move to managerial roles. You can also become a data architect, solutions architect, or machine learning engineer.

Which industries are seeking Azure Data Engineers in the US?

Businesses that register for the Azure platform and IT-related companies usually look for Azure Data Engineers. 

How much do Azure Data Engineers make annually?

The average salary for Azure Data Engineer is $130,982 annually. 

About the author


Youssef is a Senior Cloud Consultant & Founder of

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