Bentley Systems, a global leader in infrastructure engineering software, is known for its innovative solutions that advance the world's infrastructure and sustain both the global economy and environment. With over 5,200 colleagues and annual revenues exceeding $1 billion, Bentley Systems operates in 194 countries, providing robust software for the design, construction, and operation of diverse infrastructure projects.

The Data Engineer position at Bentley Systems involves working with the latest cloud data technologies to build scalable solutions. This role is pivotal for managing data pipelines, warehousing, and curation for Data Scientists and Business Intelligence users. Ideal candidates will have a strong background in data engineering, including experience with MPP Data Warehouses, SQL, Python, and cloud platforms such as Azure and Snowflake.

If you're eager to join a leading firm in a critical role, this Interview Query guide will walk you through Bentley Systems’ interview process, common questions, and valuable tips to help you succeed. Let’s get started!

Submitting Your Application

The first step is to submit a compelling application that reflects your technical skills and interest in joining Bentley Systems as a Data Engineer. Whether you were contacted by a Bentley Systems recruiter or have taken the initiative yourself, carefully review the job description and tailor your CV according to the prerequisites.

Tailoring your CV may include identifying specific keywords that the hiring manager might use to filter resumes and crafting a targeted cover letter. Furthermore, don’t forget to highlight relevant skills and mention your work experiences.

Recruiter/Hiring Manager Call Screening

If your CV happens to be among the shortlisted few, a recruiter from the Bentley Systems Talent Acquisition Team will make contact and verify key details like your experiences and skill level. Behavioral questions may also be a part of the screening process.

In some cases, the Bentley Systems hiring manager stays present during the screening round to answer your queries about the role and the company itself. They may also indulge in surface-level technical and behavioral discussions.

The whole recruiter call should take about 30 minutes.

Technical Virtual Interview

Successfully navigating the recruiter round will present you with an invitation for the technical screening round. Technical screening for the Bentley Systems Data Engineer role usually is conducted through virtual means, including video conference and screen sharing. Questions in this 1-hour long interview stage may revolve around Bentley’s data systems, ETL pipelines, data warehouses, and SQL queries.

In the case of data engineering roles, take-home assignments regarding data pipeline creation, data warehousing, and data transformations are incorporated. Apart from these, your proficiency in scripting languages like Python and knowledge of cloud data solutions may also be assessed during the round.

Depending on the seniority of the position, case studies and similar real-scenario problems may also be assigned.

Onsite Interview Rounds

Followed by a second recruiter call outlining the next stage, you’ll be invited to attend the onsite interview loop. Multiple interview rounds, varying with the role, will be conducted during your day at the Bentley Systems office (or virtually given the remote work options). Your technical prowess, including programming and data modeling capabilities, will be evaluated against the finalized candidates throughout these interviews.

If you were assigned take-home exercises, a presentation round may also await you during the onsite interview for the data engineer role at Bentley Systems.

Quick Tips For Bentley Systems Data Engineer Interviews

A few tips for acing your Bentley Systems Data Engineer interview include:

• Brush Up on Cloud Data Solutions: Bentley Systems places a strong emphasis on cloud-based data technologies. Familiarize yourself with tools like Snowflake, Azure Data Warehouse, and Azure Blob Storage.
• Master SQL and Scripting Languages: Excellent problem-solving skills using complex SQL queries and scripting languages such as Python will be core to your success. Practice these crucial skills through platforms like Interview Query.
• Understand Data Architecture: Bentley Systems is looking for candidates proficient in data modeling and warehouse design. Review concepts related to dimensional modeling and data pipeline management to stay ahead.

Typically, interviews at Bentley Systems vary by role and team, but commonly Data Engineer interviews follow a fairly standardized process across these question topics.

• Write a SQL query to select the 2nd highest salary in the engineering department. Write a SQL query to select the 2nd highest salary in the engineering department. If more than one person shares the highest salary, the query should select the next highest salary.

• Write a function to merge two sorted lists into one sorted list. Given two sorted lists, write a function to merge them into one sorted list. Bonus: Determine the time complexity.

• Create a function missing_number to find the missing number in an array. You have an array of integers, nums of length n spanning 0 to n with one missing. Write a function missing_number that returns the missing number in the array. Complexity of (O(n)) required.

• Develop a function precision_recall to calculate precision and recall metrics from a 2-D matrix. Given a 2-D matrix P of predicted values and actual values, write a function precision_recall to calculate precision and recall metrics. Return the ordered pair (precision, recall).

• Write a function to search for a target value in a rotated sorted array. Suppose an array sorted in ascending order is rotated at some pivot unknown to you beforehand. Write a function to search for a target value in the rotated array and return its index, or -1 if not found. Bonus: Achieve (O(\log n)) runtime complexity.

• Would you think there was anything fishy about the results of an A/B test with 20 variants? Your manager ran an A/B test with 20 different variants and found one significant result. Would you suspect any issues with these results?

• How would you set up an A/B test to optimize button color and position for higher click-through rates? A team wants to A/B test changes in a sign-up funnel, such as changing a button from red to blue and/or moving it from the top to the bottom of the page. How would you design this test?

• What would you do if friend requests on Facebook are down 10%? A product manager at Facebook reports a 10% decrease in friend requests. What steps would you take to address this issue?

• Why would the number of job applicants decrease while job postings remain the same? You observe that the number of job postings per day has remained constant, but the number of applicants has been steadily decreasing. What could be the reasons for this trend?

• What are the drawbacks of the given student test score datasets, and how would you reformat them for better analysis? You have data on student test scores in two different layouts. What are the drawbacks of these formats, and what changes would you make to improve their usefulness for analysis? Additionally, describe common problems in "messy" datasets.

• Is this a fair coin? You flip a coin 10 times, and it comes up tails 8 times and heads twice. Determine if the coin is fair based on this outcome.

• How would you write a function to calculate sample variance? Write a function that outputs the sample variance given a list of integers. Round the result to 2 decimal places. For example, given test_list = [6, 7, 3, 9, 10, 15], the function should return 13.89.

• Is there anything suspicious about the A/B test results? Your manager ran an A/B test with 20 different variants and found one significant result. Evaluate if there is anything suspicious about these results.

• How would you find the median in (O(1)) time and space? Given a list of sorted integers where more than 50% of the list is the same repeating integer, write a function to return the median value in (O(1)) computational time and space. For example, given li = [1, 2, 2], the function should return 2.

• What are the drawbacks of the given data organization, and how would you reformat it? You have data on student test scores in two different layouts (dataset 1 and dataset 2). Identify the drawbacks of these layouts, suggest formatting changes to make the data more useful for analysis, and describe common problems seen in "messy" datasets.

• How would you evaluate whether using a decision tree algorithm is the correct model for predicting loan repayment? You are tasked with building a decision tree model to predict if a borrower will pay back a personal loan. How would you evaluate if a decision tree is the right choice, and how would you assess its performance before and after deployment?

• How does random forest generate the forest and why use it over logistic regression? Explain the process by which random forest generates its ensemble of trees. Additionally, discuss the advantages of using random forest compared to logistic regression.

• When would you use a bagging algorithm versus a boosting algorithm? Compare two machine learning algorithms. Describe scenarios where you would prefer a bagging algorithm over a boosting algorithm and discuss the tradeoffs between the two.

• How would you justify using a neural network model and explain its predictions to non-technical stakeholders? Your manager asks you to build a neural network model to solve a business problem. How would you justify the complexity of this model and explain its predictions to non-technical stakeholders?

• What metrics would you use to track the accuracy and validity of a spam classifier? You are tasked with building a spam classifier for emails and have completed a V1 of the model. What metrics would you use to evaluate the model's accuracy and validity?

What is the average salary for a Data Engineer at Bentley Systems?

Q: What is the primary focus of the Data Engineer role at Bentley Systems? The primary focus of the Data Engineer role at Bentley Systems is to build scalable Cloud data solutions, create and maintain data pipelines, manage data warehousing, and provide data integration for Data Scientists and Business Intelligence users. You will work with large volumes of data and collaborate with business stakeholders to meet data management and engineering needs.

Q: What skills and experience are required for the Data Engineer position? Candidates should have a bachelor's degree or equivalent experience in Computer Science, Engineering, Mathematics, or a related field. Required skills include expertise in MPP Data Warehouses such as Snowflake or Azure Data Warehouse, data storage solutions like Azure Blob Storage, and scripting languages like Python. Additionally, experience with complex SQL queries, data pipeline development, and cloud platforms like Azure are essential.

Q: What is the company culture like at Bentley Systems? Bentley Systems offers a supportive and collaborative work environment, emphasizing a great team culture. Employees are part of a global and diversely international team, providing solutions for architecture, engineering, and construction. The company recognizes and rewards colleagues with various awards, fostering a culture of recognition and growth.

Q: What benefits and opportunities does Bentley Systems offer to Data Engineers? Bentley Systems offers competitive salaries and benefits, an exciting career in a world-leading software company, and the opportunity to work within a global team. The company also provides a supportive environment, chances for professional growth, and colleague recognition awards.

Q: How can I prepare for an interview at Bentley Systems? To prepare for an interview at Bentley Systems, it is recommended to research the company, refine your knowledge of cloud data solutions, and practice complex SQL queries. Utilizing resources like Interview Query to practice common interview questions and review technical skills will help you excel in the interview process.

Considering a career as a Data Engineer at Bentley Systems? You're looking at the perfect opportunity to be part of a world-leading software company and work on cutting-edge cloud data solutions. Bentley Systems thrives on innovation, competitive salary, and unbeatable benefits within a supportive and collaborative environment. If you’re excited about solving complex problems and have a knack for data pipelines, warehousing, and SQL, this role could be your next big step.

For more insights into Bentley Systems, check out our main Bentley Systems Interview Guide. We’ve also compiled interview guides for other roles, where you can delve deeper into Bentley Systems' interview process for various positions.

At Interview Query, we equip you with the essential knowledge, confidence, and strategies to triumph in your Bentley Systems data engineer interview. You can explore our company interview guides for comprehensive preparation.

Good luck with your interview!