How to Professionally Discuss Your Pain Points in an Interview

That classic interview question, “What don’t you like about your work?” can feel like a trap. You want to be honest, but you don’t want to sound negative. The secret isn’t to pretend everything is perfect—it’s to show how you handle imperfection.

For anyone in data-driven roles, your answer is a golden opportunity to demonstrate maturity, problem-solving skills, and real-world experience. Here’s how to structure your response to impress hiring managers, whether you’re a Data Engineer, Senior Data Engineer, or Product Specialist.

The Golden Rule: Never Complain, Explain Solutions

The worst thing you can do is complain about people or specific tasks. Instead, focus on common industry process challenges and immediately explain how you work to fix them. This shows you’re a proactive problem-solver.

Use this simple three-part formula:

1. Acknowledge & Reframe: “Well, no role is without its challenges, but I see them as opportunities to improve our systems and processes.”
2. Identify the Process Issue: Pick a common, non-controversial hurdle. Focus on the situation, not the people.
3. Show Your Solution: This is the most critical part. Explain the specific actions you take to overcome this challenge.

Let’s break down what this looks like for different roles.

For Data Engineers & Senior Data Engineers

Your world is about building reliable, scalable data infrastructure. Your challenges should reflect that.

What to Avoid Saying:

• “Business stakeholders have no idea what they want.”
• “I hate being on call at 2 AM.”
• “Other engineers write messy code.”

What to Say Instead:

Sample Answer (Focus on Data Quality):

“One challenge I’m passionate about tackling is the ‘black box’ pipeline. This is when a data process is so poorly documented that no one understands how it works or what it does until it breaks. This makes troubleshooting slow and hurts trust in the data.

My solution has been to champion transparency. I push for tools that automatically document data lineage, so everyone can see where data comes from and where it goes. I also build simple data quality checks directly into our pipelines to catch errors early, before they cause bigger problems. Turning a fragile system into a reliable one is incredibly satisfying.”

Why this works: It shows you understand a core infrastructure problem and are proactive about solving it with modern tools and practices.

For Product Specialists (Data Product Manager, Analyst, etc.)

Your role is about translating business needs into valuable solutions. Your challenges should center on communication and alignment.

What to Avoid Saying:

• “Engineers don’t build things fast enough.”
• “Clients keep changing their minds.”
• “I hate saying no to people.”

What to Say Instead:

Option A: Focus on Problem Definition & Value

”The aspect I find most critical to get right—and sometimes the most challenging—is ensuring I am building the right thing by solving a well-defined core problem. It’s easy for teams to jump into solution mode based on assumptions or a loud voice, which can lead to building features that don’t actually drive key business outcomes.

This is why I’m so disciplined about… the discovery phase. I focus heavily on techniques like structured stakeholder interviews, journey mapping, and developing clear, measurable success metrics (OKRs) before any development begins. By creating a shared understanding of the ‘why’ and validating hypotheses with data early on, I align the entire team and ensure our work delivers tangible value.”

Sample Answer (Focus on Alignment):

“A key challenge can be making sure everyone is aligned on the core problem we’re solving before we jump to building a solution. It’s easy to end up building a feature that doesn’t actually meet the most critical business need because assumptions were made early on.

To solve this, I focus heavily on the discovery process. I use techniques like structured workshops and clear goal-setting (like OKRs) to get everyone on the same page. By defining what success looks like with measurable metrics upfront, we ensure the entire team is focused on delivering real value, not just output.”

Why this works: It highlights your strategic thinking, leadership in facilitating communication, and focus on delivering tangible business value.

Your Key Takeaway

Your goal isn’t to prove you have a perfect job. It’s to prove you have the professionalism to identify hurdles and the initiative to overcome them. By framing your answer around solutions, you show the interviewer you’re not just a skilled technician—you’re a valuable asset who makes their entire team better.

Choose a challenge that feels genuine to you, frame it constructively, and you’ll turn a tricky question into your moment to shine. Good luck