Jakob Coppens
About Jakob Coppens
Jakob Coppens is an Expert Software Engineer at TomTom with extensive experience in software development and data analytics.
Current Position at TomTom
Jakob Coppens currently holds the position of Expert Software Engineer at TomTom. He commenced this role in 2022. His responsibilities include leveraging advanced software engineering principles to contribute to the company's technological advancements. His work is rooted in applying extensive experience and deep technical skills to various projects within the organization.
Previous Roles at TomTom
Before becoming an Expert Software Engineer, Jakob Coppens served in different capacities at TomTom. He worked as a Senior Software Engineer from 2021 to 2022 in Gent en omgeving. Prior to this, he was a Software Engineer from 2019 to 2021 in Gent. Throughout these roles, he contributed significantly to the software development processes and projects within the company.
Professional Experience Prior to TomTom
Jakob Coppens' career includes diverse roles across various organizations. He worked as a Softwareontwikkelaar at Christelijke Mutualiteit (CM) / Mutualité chrétienne (MC) from 2015 to 2019 in Gent, Vlaanderen, België. In 2014, he was an ICT-medewerker at OC Broeder Ebergiste for 3 months, and had an internship at PwC for 4 months. These roles have collectively contributed to his robust background in software development and IT.
Educational Background and Expertise
Jakob Coppens studied at Howest, earning a Bachelor in New Media and Communication Technology. He completed two microdegrees: one in Deep Learning in 2019 and another in Machine Learning in 2018. Additionally, he studied Toegepaste informatica: Computer en cybercriminaliteit at HOWEST Hogeschool West-Vlaanderen, achieving a Bachelorgraad from 2011 to 2014. These educational experiences have equipped him with advanced knowledge in several key areas of software engineering and data science.
Skills and Technical Proficiency
Jakob Coppens is proficient in several critical technical areas. He has expertise in using Deltalake for data management and processing, and is experienced with Azure Databricks for big data analytics and machine learning workflows. Additionally, he is skilled in the Scala programming language and utilizes Apache Spark for large-scale data processing and analytics. His capabilities extend to cloud platforms such as AWS and Microsoft Azure, and he is adept with containerization and orchestration technologies like Docker and Kubernetes.