Jakub Wrzosowski
About Jakub Wrzosowski
Jakub Wrzosowski is a GIS Analyst at Arup in Solihull, West Midlands, United Kingdom, with extensive experience in GIS roles across various companies.
Title
Jakub Wrzosowski is a GIS Analyst currently working at Arup. He has been with Arup since 2019, operating out of Solihull, West Midlands, United Kingdom.
Professional Experience
Jakub Wrzosowski has extensive experience in the field of GIS. Prior to his current role at Arup, he was a GIS Technician at tRIIO - Gas Distribution Strategic Partnership from 2016 to 2019. His earlier roles include being a Data Manager at miso portal in Birmingham, GIS Data Technician at National Grid in Wolverhampton, and GIS Analyst at TomTom in the Łódź Area, Poland. He began his career as a GIS Specialist at Gepol Sp. z o. o. in Poznań, followed by a short stint as a GIS Technician at Scotia Gas Networks.
Education and Expertise
Jakub holds a Master’s degree in Geoinformation from Uniwersytet im. Adama Mickiewicza w Poznaniu, completed in 2009. He also participated in an Erasmus exchange program at the University of Portsmouth, focusing on Geographical Information Science. In addition, he earned a postgraduate diploma in Database Management Systems from Poznan University of Technology in 2011. His technical skills include the use of FME, ArcGIS, and Python for automating GIS processes and map production.
HS2 Phase 2b Project
As part of his role at Arup, Jakub provides GIS consultancy for the HS2 Phase 2b project. His responsibilities include automating workflows to achieve time and cost savings. He utilizes FME, ArcGIS, and Python to develop these automated processes, enhancing the efficiency of GIS analysis and map production.
Technical Skills and Responsibilities
Jakub Wrzosowski is involved in multiple disciplines at Arup, including EMI, Transport Modelling, and Transmittals. He is responsible for loading client-provided data into the SQL Server database as part of his GIS Analyst duties. His expertise in GIS tools and technologies is crucial for developing automated workflows and ensuring efficient data management and analysis.