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SFS Group

SFS is a worldwide leading supplier of mechanical fastening systems and precision components. SFS Group AG comprises the three segments Engineered Components, Fastening Systems and Distribution & Logistics, which represent the respective business models. In the Engineered Components segment, SFS acts as a development and manufacturing partner for customer-specific precision-moulded parts, fastening solutions and assemblies. Engineered Components appears on the market with the four divisions of Automotive, Electronics, Industrial and Medical. The Fastening Systems segment, made up of two divisions, Construction and Riveting, develops, produces and sells application-optimised, mechanical fastening systems. In the Distribution & Logistics segment, SFS is a leading partner for fasteners, tools,fittings and innovative logistics solutions in Switzerland. The SFS Group is a global player with manufacturing sites and distribution companies at more than 100 locations in 26 countries worldwide. Sales in financial year 2021 amounted to CHF 1,893 million and the workforce numbered about 10,500 (FTE). Link to Annual Report: https://annualreport.sfs.com/en Link to Sustainability Report: https://sustainability.sfs.com/en/

06/08/2024
Full time
Process Engineer Data Analytics (m/w/d) 100%
SFS Group Heerbrugg, Au, SG, Switzerland
To achieve our goals, we need a Process Engineer Data Analytics (m/f/d) who is either already specialized in defining specific data requirements depending on the production process or is interested in specializing in this area. It is particularly important at machine level to ensure data correctness in order to enable accurate analyses and informed decisions. If you are looking for a new challenge and would like to contribute your skills to a modern and innovative company, then we look forward to receiving your application. Join our lively and highly motivated team and create exciting projects with us. Your tasks Analysis of automation hardware, including the sensors and actuators used and the determination of the relevant data to be made available Modelling of data flows and definition of specific data requirements Checking data quality and format, error checking, plausibility analysis and checking for inconsistencies Support internal departments...