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Data Engineer at Kognia
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Assessing your cultural and operational fit
Telecomunications Engineer specializing in Machine Learning with an interest in Sports Analytics.
Universitat Autònoma de Barcelona
Master's degree, Computer Software Engineering
January 1, 2014 – January 1, 2015
Télécom Paris
Telecommunications engineering, Signal and Image Processing
January 1, 2011 – January 1, 2013
Universitat Politècnica de Catalunya
Telecommunications Engineering
January 1, 2006 – January 1, 2011
Kognia Sports Intelligence
Senior Data Engineer
April 1, 2022 – Present
Barcelona, Catalonia, Spain · Remote
Apple
Machine Learning Engineer
September 1, 2020 – October 1, 2021
Barcelona, Catalonia, Spain
Vilynx
Machine Learning Engineer
February 1, 2017 – September 1, 2020
Greater Barcelona Metropolitan Area
ALTEN SPAIN
Software Development Engineer in Test
September 1, 2016 – February 1, 2017
Greater Barcelona Metropolitan Area
Imagsa Technologies S.A.
Software Developer
June 1, 2015 – August 1, 2016
Greater Barcelona Metropolitan Area
Amadeus IT Group
Software Engineer
July 1, 2013 – September 1, 2014
Antibes
Thales Communications
Internship
June 1, 2012 – December 1, 2012
Vélizy Le Bois (Paris)
Cultural Fit Analysis
The candidate has a diverse background spanning multiple companies and roles, including startups (Kognia, Vilynx) and large tech companies (Apple, Amadeus). This suggests adaptability and exposure to different organizational cultures. The experience in building data platforms and knowledge graphs aligns with innovative and data-driven environments. However, the target role is 'Data Analyst' while the experience is heavily skewed towards 'Data Engineer' and 'Machine Learning Engineer', which might indicate a mismatch in day-to-day responsibilities and expectations for a pure analyst role.
Soft Skills & Operational Fit
The candidate's resume indicates experience in team leadership and managing projects, suggesting good operational fit and soft skills related to collaboration and project management. However, without specific psychometric test results or interview data, a definitive assessment of soft skills is limited.