SAP Data Engineer interview typically runs 3 rounds: assessment, phone interview, HR interview. It usually takes a few weeks and is fairly lean, with limited extra interaction.
$118K
Avg. Base Comp
$271K
Avg. Total Comp
3
Typical Rounds
3-5 weeks
Process Length
Our candidates report that SAP’s data engineering interviews are less about proving you can name tools and more about showing you can operate inside an enterprise software environment. A recurring theme is the need to connect past work to business context — one candidate said they had to explain previous roles and how they handled work, not just describe technical projects. That lines up with the broader feel of the process: even when the questions were centered on data engineering, the interviewers kept pulling the conversation back to how the work supports SAP’s customers and products.
We’ve also seen that SAP does not stay at the surface level of experience. Multiple candidates noted that the team mixed practical data engineering discussion with fundamentals, including a basic linear regression question, which suggests they’re checking whether you understand the core concepts behind the work, not just the implementation details. The strongest signal here is clear, crisp storytelling about your background paired with enough technical grounding to handle a quick pivot into fundamentals. Candidates also mentioned being asked about SAP-specific knowledge, so the non-obvious make-or-break factor is whether you can speak fluently about enterprise systems and still sound precise when the conversation turns technical.
Synthetized from 1 candidates reports by our editorial team.
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Real interview reports from people who went through the Sap process.
The process felt a bit drawn out, but it was straightforward once it got going. I first had an assessment, then they provided company laptops for the next step, and after that I had an HR interview. There wasn’t a lot of extra employee interaction beyond that, which made the whole thing feel pretty lean compared with other interview loops I’ve done. The questions themselves were centered on data engineer topics, but they also wanted to see whether I understood the broader SAP side of the role and could speak to my past experience clearly.
What stood out most was that the interview wasn’t just technical in the narrow sense. In one of the earlier calls, they asked me to explain my previous roles and how I’d handled work in the past, so I had to connect my experience back to business context, not just tooling. Another question I remember was a basic one on linear regression, which made the conversation feel like they were checking fundamentals as much as practical experience. The interviewers were nice and easy to talk to, which helped calm the nerves, but I still got the sense that they expected you to really know your stuff. Overall, it was three rounds total, with two over the phone and one in person, and the process tested technical, business, and core SAP knowledge. I didn’t move forward in the end, so my main takeaway is to be ready to explain your background crisply and not assume the role will stay purely data-engineering focused; they can dip into fundamentals and SAP-specific knowledge pretty quickly.
Prep tip from this candidate
Be ready to walk through your past roles in detail and connect them to business impact, since that came up directly. Also review basic fundamentals like linear regression alongside SAP-specific knowledge, because the interview went beyond pure data engineering questions.
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Sourced from candidate reports and verified by our team.
Topics based on recent interview experiences.
Featured question at Sap
Given an integer N, write a function that returns all of the prime numbers up to N
| Question | |
|---|---|
| Cyclic Detection | |
| Hurdles In Data Projects | |
| Equivalent Index | |
| Target Indices | |
| Word Frequency | |
| Flatten N-Dimensional Array to 1D Array | |
| Z and t-Tests | |
| Binary Tree Validation | |
| Dijkstra implementation | |
| String Palindromes | |
| Foreign Key Constraints | |
| Why Do You Want to Work With Us | |
| Your Strengths and Weaknesses | |
| Linear Regression Parameters | |
| Time Series Discrepancies | |
| Empty Neighborhoods | |
| 2nd Highest Salary | |
| Top Three Salaries | |
| Comments Histogram | |
| Merge Sorted Lists | |
| Closest SAT Scores | |
| Experiment Validity | |
| Subscription Overlap | |
| Rolling Bank Transactions | |
| Download Facts | |
| Random SQL Sample | |
| Top 3 Users | |
| Last Transaction | |
| Manager Team Sizes |
Synthesized from candidate reports. Individual experiences may vary.
The process starts with an assessment focused on data engineer fundamentals and practical problem-solving. Candidates should expect questions that test core technical knowledge, including basics like linear regression, along with broader understanding of the SAP ecosystem and the business context of the role.
After the assessment, candidates go through phone interviews where they explain previous roles, past work experience, and how they handled responsibilities in prior positions. These conversations are not purely technical; interviewers also look for clear communication, business awareness, and the ability to connect your background to SAP’s needs.
The final stage is an in-person interview that continues to cover technical data engineering topics while also probing SAP-specific knowledge and overall fit. Candidates are expected to speak confidently about their experience, demonstrate solid fundamentals, and show they understand the broader business side of the role before a final decision is made.