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Innovation, Efficiency and Ambition:this is what VAT has stood for over 50 years.
With this passion, VAT has grown to become the leading international developer, manufacturer and supplier of high-performance high-end vacuum valves and vacuum sealing technology, employing over 2000 people worldwide.
The headquarters are located in Haag (Switzerland), the production centers in Switzerland, Malaysia, Romania and Taiwan.
Data Engineer supports efficient shopfloor management by providing data analysis to enable team leaders and process engineers to drive productivity improvements.
This includes developing standardized methods for data analysis, ensuring accurate conclusions for improvement activities such as Lean and Six Sigma.
Responsibilities:
Working closely with Global cross-functional teams to understand data requirements, optimize processes and to build & manage Data Pipeline, Visualization.
Perform Data evaluation by using deep IT and Lean knowledge to improve Data Quality, Accuracy, Reliability and Stability for continuous improvement.
Ensure the data are handled securely according to VAT IT Data Security requirements.
Improving the performance and scalability of data architectures.
Automating manual data processes to improve efficiency.
Provide excellent IT solutions to VAT shopfloor users to support Lean Manufacturing and Lean Management.
Using Lean tools and techniques to address issues.
Applying Lean principles to streamline ETL processes, reducing latency and improving data flow.
Minimum Qualifications:
Minimum a Bachelor Degree in Industrial Engineering or any comparable studies Data Analytics / Engineering / IT.
At least 3 years of working experience in the field of Industrial Engineering, Manufacturing IT as well as in semiconductor industry.
Experience in Lean Management on process optimization, continuous improvement and value stream mapping.
Experience with complex SQL, PostgreSQL databases and familiar with Performance Tuning and optimizing SQL queries.
Experience with Power BI, Grafana, Tableau.
Understanding Data Modelling on data warehousing and ETL (Extract, Transform, Load) processes.
Strong interpersonal and communication skills to work effectively with cross-functional teams.
Ability to adapt to a changing environment and handle multiple priorities.
Able to work with minimum supervision and commit to Project deadlines.
Able to translate technical concepts in non-technical language.
Strong analytical and problem-solving skills.
Basic technical leadership experience is desired.
Preferred Qualifications:
Familiarity with Big Data tools like Hadoop, Spark, and Kafka.
VAT is an equal opportunity employer.
We see ourselves as a responsible and far-sighted employer that offers not only jobs, but also career and personal development opportunities through various training programs.
We recognize the value of employee diversity and provide equal employment opportunity for all qualified applications that contribute to innovation, improves customer orientation and employee satisfaction.
One step in this direction is to ensure that people are recognized and fairly compensated for their contributions to the company.
In 2021, VAT received the Fair-ON-Pay+ certificate as an acknowledgement for our commitment in ensuring equal pay for equal work between men and women.#J-18808-Ljbffr