Arm Data Engineer Interview Guide (Real Questions for 2026)

Written by Sakshi Gupta

Reviewed by Andre

Table of contents

Introduction

Interview Topics

The Arm Interview Process

Challenge

Featured Interview Question at Arm

Arm Data Engineer Interview Questions

Discussion & Interview Experiences

Introduction

The Arm Data Engineer interview process spans four to five rounds, with timelines from first contact to decision not consistently reported. The process evaluates SQL, Python, and ETL fundamentals, with interviews tied to handling data for engineering and hardware driven workflows. Candidates report a mix of pipeline design and system architecture discussions rather than a single consolidated technical round.

Interview Topics

Click or hover over a slice to explore questions for that topic.

Data Structures & Algorithms

(176)

SQL

(157)

Data Modeling

(30)

Data Pipelines

(19)

Machine Learning

(17)

The Arm Interview Process

Recruiter Screen

The process begins with a recruiter call focused on background, role alignment, and experience with data engineering in hardware or engineering driven environments. Candidates describe it as “a discussion about my experience and projects,” with early probing into tools and prior work. This stage filters for baseline fit before technical evaluation.

Based on candidate reports

Technical Screening Round

The first technical round evaluates SQL and programming fundamentals, often through discussion based questions and light problem solving. Candidates report being asked to write queries and explain logic, with one noting “questions were around SQL and coding basics.” This round establishes core technical competency.

Based on candidate reports

Data Engineering and ETL Round

This round focuses on ETL processes, data pipelines, and working with structured datasets in engineering contexts. Candidates mention questions around data transformation and workflow design, with feedback like “they asked about building and maintaining ETL pipelines.” The emphasis is on reliability and data quality.

Based on candidate reports

System Design and Architecture Round

Candidates are asked to design scalable data systems, often tied to internal analytics or engineering workflows. Reports highlight discussions around architecture and performance, with one candidate stating “they wanted a high level design for handling data systems.” This stage evaluates system level thinking.

Based on candidate reports

Final Team and Behavioral Interviews

The final stage includes interviews with team members or managers, focusing on collaboration, communication, and working within cross functional teams. Candidates describe discussions around project experience and teamwork, with one noting “they focused on how I worked with others and handled challenges.” This stage validates team fit.

Based on candidate reports

Challenge

Check your skills...
How prepared are you for working as a Data Engineer at Arm?

Featured Interview Question at Arm

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Arm Data Engineer Interview Questions

Question	Topic	Difficulty
Fixed-Length Arrays: Deletion	Data Structures & Algorithms	Easy
Important: You must answer this question before attempting this one. We recommend copying your previous solution and iterating the new solution with the added operations. Create a more extensive `Array` class simulating the functionality of fixed-size arrays. The array’s fixed size is `6`. In this question, we will be implementing the deletion and search operations. `pop_back() -> element` - removes the last element of the array. Returns the removed element. If the array is empty, return `None`. `pop_front() -> element` - removes the first element of the array. Returns the removed element. If the array is empty, return `None`. `pop(index) -> element` - removes the element at the specified index and returns it. When the index is not in range, raise an `IndexError`. `search(element) -> index` - searches for the specified element and returns the index of the first instance if it exists inside the array. Returns `-1` if the element does not exist inside the array. Example: `Array([1, 2, 3]).search(2) -> 1`. `__contains__(element) -> bool` - checks if the element exists inside the array. Returns `True` if it exists and `False` if it does not. `abolish(element) -> count` - removes all instances of an element and returns the count of all removed instances. `__eq__(other) -> bool` - checks the equality of the array with another array called `other`. Raises a `TypeError` if `other` is not an instance of this custom `Array` class. Note: All the basic addition operations must be implemented first. (Refer to Fixed Length Arrays 1) View Question Show Solution
Fixed Length Arrays: Addition	Data Structures & Algorithms	Easy
Your Strengths and Weaknesses	Behavioral	Medium