Kantar Data Engineer Interview Questions + Guide in 2025

Kantar is a leading data, insights, and consulting company that shapes the brands of tomorrow by better understanding people everywhere.

As a Data Engineer at Kantar, you will be pivotal in developing and maintaining robust data pipelines that facilitate seamless access to data for analysts and other stakeholders. Your responsibilities will include collaborating with multi-functional teams to craft and uphold efficient data processing workflows, ensuring data integrity and reliability, and addressing any data-related issues that arise. You will take part in and lead data migration projects to modernize legacy systems while working closely with colleagues to understand project requirements and deliver timely results.

The ideal candidate for this role will possess demonstrable experience as a software or data engineer, showcasing a solid understanding of data architecture and engineering principles. Proficiency in tools such as Kafka, AWS, and Redshift, along with strong coding skills in Python and SQL, is essential. A proven track record of implementing testing strategies to ensure data quality and familiarity with version control systems will further enhance your suitability for this role.

This guide will help you prepare for your interview by providing insights into the expectations for a Data Engineer at Kantar and the types of questions you may encounter during the process. With the right preparation, you can effectively demonstrate your skills and fit for this dynamic team.

The interview process for a Data Engineer at Kantar is designed to assess both technical skills and cultural fit within the team. It typically consists of several stages, each focusing on different aspects of the candidate's qualifications and experiences.

1. Initial Screening

The process begins with an initial screening, usually conducted by a member of the HR team. This is a brief phone interview where the recruiter will discuss your background, the role, and Kantar's work culture. Expect questions about your previous experiences, motivations for applying, and how you align with Kantar's values.

2. Technical Assessment

Following the initial screening, candidates typically undergo a technical assessment. This may include a coding test where you will be asked to solve problems using Python or SQL, reflecting the technical skills required for the role. The assessment is designed to evaluate your coding proficiency and understanding of data manipulation and analysis.

3. Technical Interview

Candidates who pass the technical assessment will be invited to a technical interview. This round often involves discussions with senior team members or hiring managers. You will be asked to elaborate on your previous projects, particularly focusing on data pipeline development, data integrity, and any experience with tools like Kafka, AWS, or Redshift. Be prepared to answer situational questions that assess your problem-solving abilities and how you handle data-related issues.

4. Case Study or Project Discussion

In some instances, candidates may be required to participate in a case study or project discussion. This involves analyzing a given scenario or data set and presenting your findings or proposed solutions. This stage is crucial as it demonstrates your analytical thinking and ability to communicate complex ideas effectively.

5. Final Interview

The final interview typically involves a more informal discussion with team members or stakeholders. This round focuses on assessing your fit within the team and Kantar's culture. Expect behavioral questions that explore how you work in collaborative environments, manage project timelines, and resolve conflicts. This is also an opportunity for you to ask questions about the team dynamics and the company's future projects.

Throughout the process, candidates are encouraged to showcase their technical expertise, problem-solving skills, and collaborative spirit, which are essential for success in the Data Engineer role at Kantar.

Next, let's delve into the specific interview questions that candidates have encountered during their interviews.

In this section, we’ll review the various interview questions that might be asked during a Data Engineer interview at Kantar. The interview process will likely focus on your technical skills, problem-solving abilities, and collaborative mindset, as these are crucial for the role. Be prepared to discuss your experience with data pipelines, coding, and your approach to resolving data-related issues.

Technical Skills

1. Can you explain the data pipeline architecture you have worked on in the past?

Understanding your experience with data pipelines is essential, as this role involves developing and maintaining them.

How to Answer

Discuss the architecture you used, the technologies involved, and how you ensured data integrity and efficiency.

Example

“In my previous role, I designed a data pipeline using AWS and Kafka, which allowed for real-time data processing. I implemented various stages including data ingestion, transformation, and storage in Redshift, ensuring that data was accurate and accessible for analysis.”

2. What strategies do you use to ensure data quality in your projects?

Data quality is critical in this role, and interviewers will want to know your approach.

How to Answer

Mention specific testing strategies and tools you have used to validate data quality.

Example

“I implement unit tests and integration tests to validate data at each stage of the pipeline. Additionally, I use automated monitoring tools to track data quality metrics and quickly identify any discrepancies.”

3. Describe a challenging data-related issue you faced and how you resolved it.

This question assesses your problem-solving skills and ability to handle real-world challenges.

How to Answer

Provide a specific example, detailing the issue, your analysis, and the solution you implemented.

Example

“Once, I encountered a significant data discrepancy due to a faulty ETL process. I conducted a root cause analysis, identified the transformation error, and implemented a fix. I also added additional validation checks to prevent similar issues in the future.”

4. How do you approach data migration projects?

As the role involves transitioning legacy systems, your experience with data migration is relevant.

How to Answer

Discuss your methodology for planning and executing data migrations, including any tools or frameworks you use.

Example

“I follow a structured approach for data migration, starting with a thorough assessment of the existing data. I then create a detailed migration plan, including data mapping and transformation rules, and use tools like AWS Data Migration Service to facilitate the process.”

5. What programming languages and tools are you proficient in, and how have you used them in your work?

Your technical proficiency is crucial for this role, so be prepared to discuss your skills.

How to Answer

List the languages and tools you are familiar with, providing examples of how you have applied them in your projects.

Example

“I am proficient in Python and SQL, which I use extensively for data manipulation and analysis. For instance, I developed a Python script to automate data cleaning processes, significantly reducing manual effort and improving data accuracy.”

Behavioral Questions

1. How do you handle conflicts within a team?

Collaboration is key at Kantar, and they will want to know how you manage interpersonal challenges.

How to Answer

Share a specific example of a conflict and how you resolved it while maintaining a positive team dynamic.

Example

“In a previous project, there was a disagreement about the data processing approach. I facilitated a meeting where each team member could present their perspective. By encouraging open communication, we reached a consensus that combined the best elements of both approaches.”

2. Describe a time when you had to learn a new technology quickly. How did you approach it?

This question assesses your adaptability and willingness to learn.

How to Answer

Provide an example of a technology you learned and the steps you took to become proficient.

Example

“When I needed to learn AWS for a project, I dedicated time to online courses and hands-on practice. I also reached out to colleagues who had experience with AWS, which helped me quickly get up to speed and successfully implement the required solutions.”

3. Can you give an example of how you contributed to a team project?

Kantar values collaboration, so they will want to see how you work within a team.

How to Answer

Discuss your specific contributions and the impact they had on the project’s success.

Example

“I played a key role in a project where we developed a new data analytics tool. I was responsible for designing the data architecture and ensuring seamless integration with existing systems, which ultimately led to a 30% increase in data processing efficiency.”

4. How do you prioritize tasks when working on multiple projects?

Time management is crucial in a fast-paced environment, and interviewers will want to know your approach.

How to Answer

Explain your prioritization strategy and any tools you use to manage your workload.

Example

“I use a combination of project management tools and prioritization frameworks like the Eisenhower Matrix to assess urgency and importance. This helps me focus on high-impact tasks while ensuring that deadlines are met across all projects.”

5. Why do you want to work at Kantar?

This question gauges your motivation and alignment with the company’s values.

How to Answer

Express your interest in Kantar’s mission and how your skills align with their goals.

Example

“I admire Kantar’s commitment to understanding people and driving data-driven insights. I believe my technical skills and collaborative approach will contribute to the innovative projects at Kantar, and I am excited about the opportunity to be part of a team that shapes the future of data analytics.”