Trelleborg Group Data Engineer Interview Questions + Guide in 2025

Trelleborg Group is a global leader in engineered polymer solutions, specializing in innovative applications that drive performance across various industries.

As a Data Engineer at Trelleborg, you will play a pivotal role in enhancing the efficiency and productivity of our cloud solutions. You will own all aspects of project development, from coding and code reviews to unit testing and ensuring code quality. A strong focus on technical excellence is essential, and you will collaborate closely with delivery leads and technical specialists to swiftly resolve any technical impediments. Your responsibilities will also include mentoring development engineers, driving a "Quality First" mindset, and taking ownership of production quality deliverables.

Your extensive experience with Azure technologies, particularly Azure SQL Database, Azure Data Factory, and data migration projects, will be crucial in creating and maintaining robust data integration solutions. You will leverage your analytical and problem-solving skills in an agile environment, fostering a collaborative atmosphere where team members can thrive.

This guide will assist you in preparing for your interview by highlighting the key skills and responsibilities associated with the Data Engineer role at Trelleborg, enabling you to showcase your fit for the position effectively.

The interview process for a Data Engineer at Trelleborg Group is designed to assess both technical skills and cultural fit within the organization. It typically consists of several structured rounds that evaluate your expertise in data engineering, problem-solving abilities, and collaborative mindset.

1. Initial Screening

The process begins with an initial screening, usually conducted by a recruiter over the phone. This conversation lasts about 30 minutes and focuses on your background, experience, and motivation for applying to Trelleborg. The recruiter will also provide insights into the company culture and the specifics of the Data Engineer role, ensuring that you understand the expectations and responsibilities.

2. Technical Assessment

Following the initial screening, candidates typically undergo a technical assessment. This may be conducted via a video call with a senior data engineer or technical lead. During this session, you will be asked to solve coding problems and demonstrate your proficiency in SQL, algorithms, and data modeling. Expect to discuss your experience with Azure technologies, including Azure SQL DB and Azure Data Factory, as well as your approach to data migration projects.

3. Behavioral Interview

The next step is a behavioral interview, which focuses on your soft skills and how you work within a team. This round may involve situational questions that assess your ability to handle challenges, provide constructive feedback, and collaborate with international colleagues. The interviewers will be looking for evidence of your problem-solving abilities, communication skills, and your commitment to quality and continuous improvement.

4. Onsite Interview

The final stage of the interview process is typically an onsite interview, which may also be conducted virtually. This round consists of multiple one-on-one interviews with various team members, including developers and project leads. Each interview will delve deeper into your technical expertise, project delivery experience, and your ability to mentor and coach other engineers. You will also be evaluated on your understanding of agile methodologies and your approach to driving innovation within the team.

As you prepare for these interviews, it's essential to be ready to discuss your past experiences and how they align with the responsibilities of a Data Engineer at Trelleborg. Now, let's explore the specific interview questions that candidates have encountered during this process.

In this section, we’ll review the various interview questions that might be asked during a Data Engineer interview at Trelleborg Group. The interview will likely focus on your technical skills, problem-solving abilities, and your experience with cloud solutions, particularly within the Microsoft Azure ecosystem. Be prepared to discuss your past projects, your approach to coding and quality assurance, and how you work within a team.

Technical Skills

1. Can you explain your experience with Azure SQL Database and how you have utilized it in past projects?

This question assesses your familiarity with Azure SQL Database and its practical applications in your work.

How to Answer

Discuss specific projects where you implemented Azure SQL Database, focusing on the challenges you faced and how you overcame them.

Example

“In my previous role, I used Azure SQL Database to manage large datasets for a data migration project. I optimized the database performance by indexing key columns and implementing stored procedures, which significantly reduced query times and improved overall efficiency.”

2. Describe a data migration project you have worked on. What were the key challenges, and how did you address them?

This question evaluates your hands-on experience with data migration and your problem-solving skills.

How to Answer

Highlight the scope of the project, the challenges encountered, and the strategies you employed to ensure a successful migration.

Example

“I led a data migration project from an on-premises SQL Server to Azure SQL Managed Instance. The main challenge was ensuring data integrity during the transfer. I implemented a phased migration strategy, using Azure Data Factory to automate the process and validate data at each stage, which minimized downtime and ensured accuracy.”

3. How do you ensure code quality and maintainability in your projects?

This question focuses on your coding practices and commitment to quality.

How to Answer

Discuss your approach to code reviews, testing, and adherence to coding standards.

Example

“I prioritize code quality by conducting thorough code reviews and writing unit tests for all new features. I also follow best practices for coding standards and documentation, which helps maintain clarity and ease of understanding for future developers.”

4. What strategies do you use to optimize performance in data processing tasks?

This question assesses your analytical skills and understanding of performance optimization.

How to Answer

Share specific techniques or tools you have used to enhance performance in data processing.

Example

“I often use partitioning and indexing strategies to optimize query performance in large datasets. Additionally, I leverage Azure Data Factory’s data flow capabilities to streamline data transformations, which has significantly reduced processing times in my previous projects.”

5. Can you describe your experience with data modeling and integration?

This question evaluates your knowledge of data architecture and integration techniques.

How to Answer

Discuss your experience with data modeling tools and how you have integrated data from various sources.

Example

“I have extensive experience in data modeling using tools like Azure Synapse. In a recent project, I designed a star schema for a data warehouse that integrated data from multiple sources, including CRM and ERP systems, which improved reporting capabilities and data accessibility for stakeholders.”

Team Collaboration and Agile Methodologies

1. How do you handle constructive criticism from team members?

This question assesses your interpersonal skills and ability to work collaboratively.

How to Answer

Emphasize your openness to feedback and how you use it to improve your work.

Example

“I view constructive criticism as an opportunity for growth. When receiving feedback, I actively listen and ask clarifying questions to fully understand the perspective. I then apply the insights to enhance my work and contribute more effectively to the team.”

2. Describe your experience working in Agile/Scrum teams. How do you contribute to sprint planning?

This question evaluates your familiarity with Agile methodologies and your role in team dynamics.

How to Answer

Discuss your experience in Agile environments and how you participate in sprint planning and retrospectives.

Example

“I have worked in Agile teams for several years, participating in daily stand-ups and sprint planning sessions. I contribute by providing estimates for tasks based on my experience and ensuring that our backlog is prioritized according to business needs, which helps the team stay focused and productive.”

3. Can you give an example of a time you helped a team member overcome a technical obstacle?

This question assesses your mentorship abilities and teamwork.

How to Answer

Share a specific instance where you provided support to a colleague, highlighting your collaborative approach.

Example

“A colleague was struggling with a complex data transformation task in Azure Data Factory. I took the time to walk them through the process, sharing best practices and troubleshooting techniques. This not only helped them complete the task but also strengthened our working relationship.”

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

This question evaluates your time management and organizational skills.

How to Answer

Discuss your approach to prioritization and how you ensure deadlines are met.

Example

“I use a combination of project management tools and regular check-ins with my team to prioritize tasks. I assess the urgency and impact of each task, focusing on high-priority items first while ensuring that I communicate any potential delays to stakeholders.”

5. What role do you believe communication plays in a successful development team?

This question assesses your understanding of team dynamics and communication strategies.

How to Answer

Emphasize the importance of clear communication in fostering collaboration and project success.

Example

“Effective communication is crucial in a development team. It ensures that everyone is aligned on project goals and expectations. I make it a point to encourage open dialogue during meetings and use collaborative tools to keep everyone informed, which helps prevent misunderstandings and keeps the project on track.”