MES (Manufacturing Execution System) / Data Process Engineer
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Plat
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Miesto
Košice
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Jazyky
Anglický B2
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ID
947
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Úväzok
Plný úväzok
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Participate on projects focused on digital transformation, Smart Factory initiatives, and Industry 4.0 technologies, ensuring successful delivery through cross-functional teams.
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Oversee the deployment, maintenance, and continuous improvement of Manufacturing Execution Systems (MES), with a focus on process optimization and data integration.
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Collaborate on the design and implementation of new production lines, particularly with respect to software architecture and digitalization strategies.
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Ensure alignment with lean manufacturing and automation standards, promoting best practices in digital process control and industrial data management.
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Participate in the integration of automated systems within manufacturing operations to support enhanced efficiency and real-time data utilization.
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Contribute to the design of software systems used in production lines, ensuring scalability, performance, and alignment with operational goals.
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Personalized career development plans and internal growth opportunities.
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Guaranteed 13th salary and performance-based quarterly bonuses (up to the equivalent of a 14th salary).
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Monthly commuting allowance based on travel distance..
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Annual salary adjustments to reflect market trends and individual performance.
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Subsidized meals at the company cafeteria.
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Flexible benefits package through a cafeteria system.
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Recognition bonuses for employee anniversaries and implemented improvements.
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Contribution to team-building activities.
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Rewards for blood donation outside working hours.
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Referral bonus for recommending new employees.
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Travel allowances for international business trips.
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Flexible working hours where the role allows.
An international manufacturing company operating in the automotive industry.
Follow-up/Higher Professional Education
University education (Bachelor's degree)
University education (Master's degree)
Postgraduate (Doctorate)
- Minimum of 2 years in a technical or production engineering environment.
- Strong knowledge of production technologies, automation, and digital systems integration.
- Experience with MES implementation and manufacturing process optimization.
- NICE TO HAVE: SQL, Python, JavaScript, familiarity with REST APIs.
- Analytical thinking and problem-solving mindset.
- Passion for technology, creativity, and a willingness to learn and innovate.