Data Engineer applicants have rated the interview process at SNCF with 3 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 100% positive. To compare, the company-average is 70.1% positive. This is according to Glassdoor user ratings.
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During the managerial interview with a senior manager, we explored leadership strategies, stakeholder alignment, and roadmap development; the subsequent technical interview with the tech lead delved into system design, data pipeline optimizations, and coding best practices.
Interview questions [1]
Question 1
Managerial: “Can you describe a time you re-prioritized a data-engineering roadmap when stakeholder needs shifted by 50% in scope?”
Managerial: “How do you measure and improve team velocity when onboarding new technology under a three-month deadline?”
Technical: “Design an ETL pipeline ingesting 10 million rows/day with <5-minute SLA and 99.9% uptime—what fault-tolerance and cost-controls do you implement?”
Technical: “How have you handled schema evolution in a Parquet-based lakehouse serving both batch and sub-second BI queries?”