SUMMARY:
Job objective:
The Production Engineer is responsible for supporting production operations through data analysis, process optimisation, and digital transformation initiatives.
The role focuses on improving efficiency, reducing waste, enhancing quality, and enabling data-driven decision-making through the integration of Industrial IoT (IIoT) and smart manufacturing technologies.
The incumbent will work closely with production, quality, maintenance, logistics, and IT to analyse processes, identify improvement opportunities, and support the implementation of sustainable, technology-driven solutions aligned with business objectives.
Key responsibilities:
Process Analysis & Optimisation
- Analyse manufacturing processes to identify inefficiencies, bottlenecks, and waste.
- Conduct time studies, motion studies, and workflow analysis.
- Support optimisation of injection moulding processes to improve productivity and reduce scrap.
- Assist in designing and improving production layouts, material flow, and ergonomics.
- Support process standardisation and documentation of best practices.
- Monitor process stability and support capability improvement initiatives (Cp, Cpk).
- Assist with process validation and continuous monitoring activities.
Data Analysis, Reporting & Digital Insights - Collect, clean, and analyse production and machine data to support decision-making.
- Develop and maintain dashboards and reports (e.g., Power BI, Excel).
- Track KPIs such as OEE, downtime, scrap rates, and efficiency.
- Identify trends, correlations, and root causes using data analysis techniques.
- Support predictive analytics initiatives (e.g., early identification of equipment failure trends).
- Ensure data accuracy, integrity, and consistency across ERP/MES systems.
- Support development of real-time data visualisation and reporting systems.
IoT Integration & Smart Manufacturing - Assist in implementing Industrial IoT (IIoT) solutions across production lines.
- Support integration of machines, sensors, and PLCs into data platforms.
- Monitor real-time equipment performance (e.g., OEE, uptime, cycle times).
- Work with IT and maintenance teams to ensure reliable data acquisition and connectivity.
- Support deployment and maintenance of smart manufacturing systems.
- Contribute to digital transformation and Industry 4.0 initiatives within the plant.
Continuous Improvement (CI) - Support Lean Manufacturing and Continuous Improvement initiatives.
- Participate in root cause analysis (RCA) and structured problem-solving.
- Assist in implementing corrective and preventive actions.
- Contribute to Kaizen activities and improvement workshops.
- Identify and recommend opportunities for reducing scrap, rework, and downtime.
- Monitor and report on CI project progress and outcomes.
Automation & Digitalisation - Support automation projects and digital system implementations.
- Assist with the introduction of new technologies and process upgrades.
- Work with engineering teams on small-scale automation and optimisation initiatives.
- Learn and apply Industry 4.0 tools and methodologies.
- Support evaluation of new digital tools and manufacturing technologies.
Production Support - Provide analytical and technical support to daily production operations.
- Assist in monitoring machine performance, cycle times, and output.
- Support production escalation analysis (e.g., downtime, quality issues).
- Assist in capacity planning and production forecasting activities.
- Support implementation of engineering changes (ECNs/ECRs).
Quality & Compliance Support - Support quality improvement initiatives and adherence to specifications.
- Assist in investigating non-conformances and implementing corrective actions.
- Ensure processes align with quality standards such as IATF 16949.
- Support audit preparation and documentation.
- Promote a “right first time” manufacturing culture.
Health, Safety & Environmental Support - Adhere to all health, safety, and environmental standards.
- Support risk assessments and safety improvement initiatives.
- Ensure compliance with ISO 45001 and ISO 14001 requirements.
- Promote safe work practices within production environments.
Cost & Efficiency Support - Assist in analysing production costs (scrap, labour, material usage).
- Identify opportunities for cost reduction through data-driven insights.
- Support OEE improvement initiatives.
- Assist in evaluating small-scale CAPEX and process improvement opportunities.
- Contribute to energy efficiency and resource optimisation initiatives.
- Support with validation of Business case studies
Documentation & Administration - Develop and maintain SOPs, work instructions, and process documentation.
- Create process flow diagrams and technical documentation.
- Maintain accurate records of production data and improvement initiatives.
- Support standardisation of reporting and documentation practices.
Cross-Functional Collaboration - Work closely with Production, Maintenance, Quality, Tooling, Logistics and IT teams.
- Support knowledge sharing and basic training on data tools and systems.
- Provide accurate and timely reporting.
- Participate in production, CI, and project meetings.
Key Performance Indicators (KPIs) - Accuracy and reliability of data analysis and reporting
- Improvement in data availability and system integration
- Contribution to OEE improvement initiatives
- Reduction in inefficiencies (scrap, downtime, cycle time losses) – support role
- Successful participation in IoT and digital transformation projects
- Timely completion of assigned tasks and projects
- Quality and standardisation of documentation
This position has a key function within the groups organisation.
The job holder is obliged to follow the processes of the current versions of the IATF 16949, ISO 14001, ISO 45001 or ISO 50001 standards described in the business management system if these are certified at the location. In addition, the regulations applicable in the HR area must be adhered to. Manual and guidelines are available in the department.
Educational Requirements & Experience - Master’s Degree in Industrial Engineering (preferred) or
- Bachelor’s Degree in Industrial, Mechanical, Electrical Engineering, Mechatronics, or similar
- 0–2 years’ experience (internship or graduate experience in manufacturing is advantageous)
- Exposure to automotive or injection moulding environments advantageous
Technical Competencies - Strong analytical and problem-solving skills
- Advanced proficiency in Microsoft Excel
- Experience with Power BI or similar data visualisation tools
- Basic understanding of data analysis tools (Python, SQL advantageous)
- Interest in IoT, automation, and digital manufacturing
- Basic knowledge of PLCs and manufacturing systems (advantageous)
- Understanding of Lean Manufacturing and Six Sigma principles
- Familiarity with ERP/MES systems (e.g., SAP advantageous)
Personal Competencies - Strong attention to detail and analytical mindset
- Self-motivated with a strong willingness to learn
- Ability to work independently and collaboratively
- Good communication and interpersonal skills
- Ability to work under pressure and meet deadlines
Professional Competencies - Ability to translate data into actionable insights
- Strong organisational and planning skills
- Curiosity and interest in digital transformation and smart manufacturing
- Structured problem-solving approach
Social Competence - Good planning, organisational, and administrative skills
- Ability to communicate clearly
- Ability to manage Conflict
Strategy Competence - Cost awareness
- Drive continuous improvements in the manufacturing facility
Company Culture Competence - Value increasing
- Customer focussed
- Solution orientated
- Thinking Globally
- Willing to integrate into the groups culture
- Respect
- Sensitivity to the environment
POSITION INFO:
Job objective: The Production Engineer is responsible for supporting production operations through data analysis, process optimisation, and digital transformation initiatives. The role focuses on improving efficiency, reducing waste, enhancing quality, and enabling data-driven decision-making through the integration of Industrial IoT (IIoT) and smart manufacturing technologies. The incumbent will work closely with production, quality, maintenance, logistics, and IT to analyse processes, identify improvement opportunities, and support the implementation of sustainable, technology-driven solutions aligned with business objectives. Key responsibilities: Process Analysis & Optimisation Analyse manufacturing processes to identify inefficiencies, bottlenecks, and waste. Conduct time studies, motion studies, and workflow analysis. Support optimisation of injection moulding processes to improve productivity and reduce scrap. Assist in designing and improving production layouts, material flow, and ergonomics. Support process standardisation and documentation of best practices. Monitor process stability and support capability improvement initiatives (Cp, Cpk). Assist with process validation and continuous monitoring activities. Data Analysis, Reporting & Digital Insights Collect, clean, and analyse production and machine data to support decision-making. Develop and maintain dashboards and reports (e.g., Power BI, Excel). Track KPIs such as OEE, downtime, scrap rates, and efficiency. Identify trends, correlations, and root causes using data analysis techniques. Support predictive analytics initiatives (e.g., early identification of equipment failure trends). Ensure data accuracy, integrity, and consistency across ERP\/MES systems. Support development of real-time data visualisation and reporting systems. IoT Integration & Smart Manufacturing Assist in implementing Industrial IoT (IIoT) solutions across production lines. Support integration of machines, sensors, and PLCs into data platforms. Monitor real-time equipment performance (e.g., OEE, uptime, cycle times). Work with IT and maintenance teams to ensure reliable data acquisition and connectivity. Support deployment and maintenance of smart manufacturing systems. Contribute to digital transformation and Industry 4.0 initiatives within the plant. Continuous Improvement (CI) Support Lean Manufacturing and Continuous Improvement initiatives. Participate in root cause analysis (RCA) and structured problem-solving. Assist in implementing corrective and preventive actions. Contribute to Kaizen activities and improvement workshops. Identify and recommend opportunities for reducing scrap, rework, and downtime. Monitor and report on CI project progress and outcomes. Automation & Digitalisation Support automation projects and digital system implementations. Assist with the introduction of new technologies and process upgrades. Work with engineering teams on small-scale automation and optimisation initiatives. Learn and apply Industry 4.0 tools and methodologies. Support evaluation of new digital tools and manufacturing technologies. Production Support Provide analytical and technical support to daily production operations. Assist in monitoring machine performance, cycle times, and output. Support production escalation analysis (e.g., downtime, quality issues). Assist in capacity planning and production forecasting activities. Support implementation of engineering changes (ECNs\/ECRs). Quality & Compliance Support Support quality improvement initiatives and adherence to specifications. Assist in investigating non-conformances and implementing corrective actions. Ensure processes align with quality standards such as IATF 16949. Support audit preparation and documentation. Promote a \"right first time\" manufacturing culture. Health, Safety & Environmental Support Adhere to all health, safety, and environmental standards. Support risk assessments and safety improvement initiatives. Ensure compliance with ISO 45001 and ISO 14001 requirements. Promote safe work practices within production environments. Cost & Efficiency Support Assist in analysing production costs (scrap, labour, material usage). Identify opportunities for cost reduction through data-driven insights. Support OEE improvement initiatives. Assist in evaluating small-scale CAPEX and process improvement opportunities. Contribute to energy efficiency and resource optimisation initiatives. Support with validation of Business case studies Documentation & Administration Develop and maintain SOPs, work instructions, and process documentation. Create process flow diagrams and technical documentation. Maintain accurate records of production data and improvement initiatives. Support standardisation of reporting and documentation practices. Cross-Functional Collaboration Work closely with Production, Maintenance, Quality, Tooling, Logistics and IT teams. Support knowledge sharing and basic training on data tools and systems. Provide accurate and timely reporting. Participate in production, CI, and project meetings. Key Performance Indicators (KPIs) Accuracy and reliability of data analysis and reporting Improvement in data availability and system integration Contribution to OEE improvement initiatives Reduction in inefficiencies (scrap, downtime, cycle time losses) - support role Successful participation in IoT and digital transformation projects Timely completion of assigned tasks and projects Quality and standardisation of documentation This position has a key function within the groups organisation. The job holder is obliged to follow the processes of the current versions of the IATF 16949, ISO 14001, ISO 45001 or ISO 50001 standards described in the business management system if these are certified at the location. In addition, the regulations applicable in the HR area must be adhered to. Manual and guidelines are available in the department. Educational Requirements & Experience Master's Degree in Industrial Engineering (preferred) or Bachelor's Degree in Industrial, Mechanical, Electrical Engineering, Mechatronics, or similar 0-2 years' experience (internship or graduate experience in manufacturing is advantageous) Exposure to automotive or injection moulding environments advantageous Technical Competencies Strong analytical and problem-solving skills Advanced proficiency in Microsoft Excel Experience with Power BI or similar data visualisation tools Basic understanding of data analysis tools (Python, SQL advantageous) Interest in IoT, automation, and digital manufacturing Basic knowledge of PLCs and manufacturing systems (advantageous) Understanding of Lean Manufacturing and Six Sigma principles Familiarity with ERP\/MES systems (e.g., SAP advantageous) Personal Competencies Strong attention to detail and analytical mindset Self-motivated with a strong willingness to learn Ability to work independently and collaboratively Good communication and interpersonal skills Ability to work under pressure and meet deadlines Professional Competencies Ability to translate data into actionable insights Strong organisational and planning skills Curiosity and interest in digital transformation and smart manufacturing Structured problem-solving approach Social Competence Good planning, organisational, and administrative skills Ability to communicate clearly Ability to manage Conflict Strategy Competence Cost awareness Drive continuous improvements in the manufacturing facility Company Culture Competence Value increasing Customer focussed Solution orientated Thinking Globally Willing to integrate into the groups culture Respect Sensitivity to the environment
