Damian Maj

Damian Maj

Maintenance Engineer @ SSI SCHÄFER

About Damian Maj

Damian Maj is a Maintenance Engineer at SSI Schaefer UK, where he has worked since 2017. He specializes in technical solutions and performance optimization, utilizing various software and engineering knowledge.

Work at SSI SCHÄFER

Damian Maj has been employed at SSI Schaefer UK as a Maintenance Engineer since 2017. In this role, he is responsible for achieving site Key Performance Indicators (KPIs). His work involves generating, proposing, and implementing innovative solutions to address technical issues. He plays a significant role in ensuring effective communication and information handover across shifts, contributing to operational efficiency.

Education and Expertise

Damian Maj studied Mathematics and Computer Science at VIII High School Czestochowa from 2007 to 2009. He furthered his education at Milton Keynes College, where he studied Engineering and earned a Business and Technology Education Level 3 qualification from 2017 to 2019. He has completed Electrical Maintenance Modules 1 to 4 at Midland Group Training Services, enhancing his technical skills.

Background in Logistics

Prior to his current role, Damian Maj worked at XPO Logistics, Inc. as a Warehouse Operative from 2013 to 2014 in Daventry, United Kingdom. He then served as an Administration Clerk / Super User at DHL Supply Chain from 2014 to 2017 in Rugby. These roles provided him with valuable experience in logistics and operations management.

Technical Skills and Tools

Damian Maj possesses expertise in using various technical tools and software, including WAMAS, Visue, and 3D CAD. He is proficient with a wide range of technical packages, which supports his role in maintenance engineering and problem-solving within his current position.

Operational Support and Efficiency

In his role at SSI Schaefer UK, Damian Maj supports the Team Leader in streamlining operations. His focus is on enhancing efficiency, achieving cost savings, ensuring safety, and maintaining reliability in operational processes.

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