Fdm Group Data Engineer Interview Guide

FDM Group's Data Engineer interview, as three candidates describe it, leans on behavioral questions and technical fundamentals more than on advanced data engineering design. One candidate who received an offer says their roughly 35-minute English-language video screen contained no coding or SQL at all. It covered a self-introduction, internship experience, why FDM and consulting, and how they prioritize under pressure. It also covered what they would do if an afternoon deadline were at risk and how they respond when a colleague asks for help. They counted more than twenty questions.

A second candidate, who did not get an offer, reports a phone screen about background and motivation. A technical round followed, covering Python lists, tuples, dictionaries and counters, SQL storage and retrieval, string splitting, and a variable swap. They also describe a five-year-plan question and being asked to talk through a problem step by step. Practice explaining simple operations like that swap aloud.

A third candidate describes a behavioral round about tight deadlines and interest in data engineering, then a recruiter-led technical round. It started with resume questions and moved to Linux basics, such as which command finds a file. That candidate also reports rescheduled calls and long silences, with almost a year from application to resolution. That is one account, so treat it as a reason to confirm appointments in writing, not as a typical timeline.

In practice, prepare specific stories about deadlines, teamwork and difficult problems. Review core Python data structures and basic SQL, and brush up on common Linux commands. Practice speaking clearly, since consulting-style communication appears throughout these accounts.