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Data Engineering Manager at TheFork
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Pierre and Marie Curie University
Master's degree, DEA IARFA (Artificial Intelligence)
January 1, 2002 – January 1, 2003
ECE. Ecole d'ingénieurs. Engineering School.
Engineer, Computer science
January 1, 1999 – January 1, 2002
TheFork.fr
Data Engineering Manager
February 1, 2020 – Present
TheFork.fr
Data Engineer
October 1, 2017 – February 1, 2020
Compte-Nickel
Back-end Developper / Data Engineer
October 1, 2016 – September 1, 2017
Greater Nantes Metropolitan Area
Affini-Tech
Data Engineer
March 1, 2014 – October 1, 2016
Paris
SQLI
Ingénieur Concepteur Développeur Java/J2EE
September 1, 2007 – March 1, 2014
Paris Area, France
Opodo
Développeur
November 1, 2004 – August 1, 2007
Paris Area, France
OPODO - Vivacances
Développeur
January 1, 2004 – January 1, 2006
Greater Paris Metropolitan Region
Cultural Fit Analysis
The candidate's diverse project experience across various companies (TheFork, Compte-Nickel, Affini-Tech, SQLI, Opodo) and roles (Data Engineering Manager, Data Engineer, Back-end Developer, Java/J2EE Developer) indicates adaptability and a broad understanding of different technical environments. The transition from Java/J2EE development to specialized data roles shows a proactive approach to skill development and alignment with evolving industry needs. The experience in managing a team and collaborating with multiple stakeholders suggests a collaborative mindset. The target role of 'Data Analyst' is a slight shift from their recent 'Data Engineering Manager' role, but their extensive data background makes them a strong candidate for data-centric roles.
Soft Skills & Operational Fit
The candidate's experience as a Data Engineering Manager suggests leadership, team management, and cross-functional collaboration skills. The descriptions of project work imply problem-solving and analytical capabilities. However, without specific psychometric test results or interview data, a detailed assessment of soft skills and operational fit is limited.