Data Engineer, Vice President at EQT
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Stockholm University
Economics, Western philosophy
January 1, 2012 – January 1, 2012
Tecnológico de Monterrey
Study abroad: Engineering Physics and Spanish
January 1, 2011 – January 1, 2011
KTH Royal Institute of Technology
Master's degree, Mathematical Statistics and Financial Mathematics
January 1, 2010 – January 1, 2013
KTH Royal Institute of Technology
Bachelor's degree, Engineering Physics
January 1, 2007 – January 1, 2010
EQT Group
Data Engineer, Vice President
January 1, 2026 – Present
EQT Group
Data Engineer
September 1, 2022 – December 1, 2025
TV4
Team Manager Data Engineering
January 1, 2021 – September 1, 2022
TV4
Data Engineer
December 1, 2019 – December 1, 2020
Bonnier Broadcasting
Data Engineer
December 1, 2018 – December 1, 2019
Stockholm, Sweden
UpGrades Education
Student coach
August 1, 2013 – December 1, 2013
Stockholm, Sweden
Watty
Machine Learning Engineer
June 1, 2013 – December 1, 2018
Stockholm, Sweden
KTH
Student mentor
September 1, 2011 – April 1, 2012
Stockholm, Sweden
MAURITZ LUTHSTRÖM AB
Ice Cream Truck Driver
July 1, 2011 – August 1, 2011
Uppsala, Sweden
mySafety AB
Telemarketer
July 1, 2009 – August 1, 2009
Uppsala, Sweden
Semi-Markov modelling in a Gibbs sampling algorithm for NIALM
August 1, 2013 – December 1, 2013
Master of Science Thesis in Mathematical Statistics based at Watty AB. The project's focus was the implementation and evaluation of statistical features for improving machine learning algorithms in the field of energy time series disaggregation.
Queen Mary Pro Bono Society website
August 1, 2012 – December 1, 2013
I developed the original version of a website for a student organisation in the UK.
Cultural Fit Analysis
The candidate has a diverse background, including startup experience (Watty) and larger corporate roles (TV4, EQT Group). The project descriptions, particularly the Master's thesis, show a strong analytical and research-oriented mindset. The progression from Machine Learning Engineer to Data Engineer and Team Manager indicates a growth-oriented individual. The variety of roles and responsibilities, from technical implementation to strategic advising and recruitment, suggests a broad perspective and adaptability, which generally aligns well with dynamic work 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 slight mismatch in the day-to-day responsibilities typically associated with a pure Data Analyst role, which often focuses more on reporting, visualization, and business insights rather than data platform development and ML model productionization.
Soft Skills & Operational Fit
The candidate's experience as a Team Manager Data Engineering and Machine Learning Engineer in startup environments suggests strong problem-solving, adaptability, and leadership skills. The descriptions of simplifying data access, automation, and fostering team spirit indicate good operational fit and a focus on efficiency and collaboration. However, specific soft skill assessments are not available.