Strong desire to grow a career as a Data Engineer and in Data Management, with a focus on productivity improvement in highly automated industrial manufacturing.
Data quality validation and responsibility for manufacturing equipment data.
Explore and roll out digitalization workflow automation for assigned tasks.
Qualifications
Project experience: 1 year.
Technical or functional experience in Data Engineering, Data Science, Machine Learning, or Data Management.
Programming and tools: Expertise in Python and SQL, KNIME, Outsystems, RTD.
Education: Technical degree in an engineering discipline (Manufacturing Study, Data Engineering, Data Science, Computer Science, Mathematics, Electrical & Electronics, or related areas).
Soft skills: Team orientation, drive value through innovation, passion for profit.