The Project Engineer supports technical and facility improvements that enhance equipment reliability, utility efficiency, compliance and readiness for future scalibility. This includes developing a continuous pipeline of initiatives based on operational performance, asset lifecycle, capacity requirements and business growth.
As part of the Project Management Office, the Project Engineer works closely with Maintenance, Production, QA, ESH, Warehouse, Purchasing and external technical parties to coordinate engineering studies and projects from initial assessment through implementation, commissioning and performance review.
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Up to 8 yrs relevant experience beyond first degree.
Experience with common data science toolkits, programming languages, visualisation tools and SQL/NoSQL databases.
Good applied statistical knowledge with emphasis in business and finance related statistical distributions, statistical testing, modeling, regression analysis, etc.
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Perform test execution, accurately record results, evidence, and defects, and support overall validation of system changes.
Preferably an undergraduate in the penultimate or final year of a Computer Science, Information Technology, Software Engineering, Data Analytics, Business IT, or related program
Must be proficient in both written and spoken English
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Salary: Competitive, based on experience + Performance BonusesWork Hours: 8.30am to 5.00pmEmployment Type: Full-Time / Part-Time / Contract
Why Join Us?
Supportive & Friendly Work EnvironmentCareer Growth Opportunities in AccountingWork-Life Balance & Fixed Working HoursOn-the-Job Training ProvidedPerformance Incentives
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Strong understanding of B2B business environment, needs and conditions and proven knowledge of digital marketing
Secure knowledge on visualization platforms that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics via dashboards. (e.g. Power BI preferred, Tableau, SAC)
Proven experience in assembling large, complex data sets that meet functional / non-functional business requirements.
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