Real, anonymous reports from people who interviewed for Data Engineer at Accenture, newest first and distilled into what to expect across the loop.
My interview felt pretty manageable overall. I had a first round where the focus was on fundamentals—ETL concepts and how I approach SQL-based queries. The questions weren’t trying to trick me; they were more about whether I understood the core workflow and the right SQL building blocks.
My process started with a phone conversation, and then I joined a quick video call with someone from the team where the questions were simpler and more about direction than depth. After that, I had a more technical interview with two technical members. The overall structure felt like a ramp-up: first get my background, then move into the real technical evaluation.
The interview process typically follows a structured flow, starting with an HR conversation, followed by technical interviews, and often concluding with an HR discussion. Candidates noted that a clear progression through rounds helped maintain focus and build on previous discussions.
Technical interviews primarily assess SQL, Python, and data engineering concepts, with a strong emphasis on practical application and scenario-based questions. Candidates should prepare for in-depth discussions on ETL processes, data quality, and specific technologies like Spark and Databricks.
Many candidates experienced initial assessments that included coding challenges or online tests, often focusing on SQL and Python skills. These assessments set the tone for the technical interviews and were critical in determining progression through the hiring process.
The HR rounds often included behavioral questions aimed at assessing cultural fit and communication skills, with a focus on teamwork and collaboration. Candidates should be prepared to discuss their past experiences and how they align with the company's values.
The overall difficulty of interviews varies, but many candidates noted that while some rounds felt manageable, others were intense and required deep technical knowledge. It's important to be well-prepared for both straightforward and challenging questions.
Candidates reported mixed experiences with logistics, including scheduling issues and communication delays. A smooth process with timely feedback can enhance the overall experience, so candidates should be proactive in following up if needed.