Manufacturing Process Digitization Engineer
- Siemens
- Aurangābād, India
- INR 600,000 – INR 900,000
Job ID
521892
Posted since
10-Sep-2026
Organization
Siemens Energy
Field of work
Manufacturing
Company
SIEMENS ENERGY INDIA LIMITED
Experience level
Early Professional
Job type
Full-time
Work mode
Office/Site only
Employment type
Permanent
Location(s)
- Aurangabad - Maharashtra - India
Job Description
Position - Manufacturing Process Digitization Engineer
Location: Chhatrapati Sambhaji Nagar, Aurangabad, India
Qualification
Bachelor’s degree in computer science/IT/Mechanical/Electrical/Industrial Engineering with 1-3 years of Experience
Skills
• Basic understanding of manufacturing processes and shop floor operations.
• Knowledge of Industry 4.0 and Smart Manufacturing concepts.
• Familiarity with PLCs, SCADA, HMI, and industrial automation systems.
• Understanding of Manufacturing Execution Systems (MES) and ERP systems
• Basic programming knowledge (Python, SQL, C#, or Java preferred).
• Knowledge of Industrial IoT (IIoT), sensors, and data acquisition systems.
• Understanding of databases and data visualization tools such as: Power BI and Tableau
• Basic understanding of Lean Manufacturing and Continuous Improvement methodologies.
• Strong analytical and problem-solving skills.
• Good communication and teamwork abilities.
Key Responsibilities
• Assist in implementing smart manufacturing and plant digitization initiatives.
• Support deployment of Industry 4.0 technologies across production lines.
• Participate in digital transformation projects aimed at improving efficiency and productivity
• Collect, validate, and analyze manufacturing data from equipment and processes.
• Develop dashboards and reports to monitor production KPIs.
• Support real-time performance monitoring of manufacturing operations.
• Identify trends and improvement opportunities using production data.
• Assist in integrating machines with MES, SCADA, ERP, and IoT platforms.
• Support connectivity between shop floor equipment and business systems.
• Help maintain digital manufacturing software applications.
• Identify opportunities to reduce downtime, scrap, and process variation.
• Participate in Lean, Kaizen, and Operational Excellence initiatives.
• Support root cause analysis using manufacturing data.
• Create and maintain Power BI or similar visualization dashboards.
• Generate daily, weekly, and monthly operational reports.
• Monitor and maintain plant KPI data viz. productivity, loss time, loss time analysis, manpower planning.
• Follow plant cybersecurity standards for connected devices.
• Ensure compliance with company IT and OT security policies.
• Maintain documentation for digitization projects and system changes.
• Work with Production, Maintenance, Quality, IT, and Engineering teams.
• Provide technical support during implementation of digital solutions.
• Participate in training and knowledge-sharing activities.
• Maintain Audit documentation for Quality and IMS audits for the manufacturing plant
Siemens Energy India Limited (SEIL) has been a strategic partner in India for more than 100years and is focused on being the most-valued energy technology company. Our large footprint spread across the entire region (India, Sri Lanka, Bhutan, Nepal, Maldives) with state-of-the-art facilities and customers installations positively impacts the lives of hundreds of millions of people, helping the countries navigate their energy transition and achieve its net zero targets.
SEIL is a pure play energy technology company, offering a comprehensive portfolio of products, solutions, and services designed to support our customers along the entire energy value chain to go through their energy transition journey and achieve their net zero targets. Our portfolio offering includes low to zero emissions power generation, power transmission and storage, and decarbonization of the industry. More information on: www.siemens-energy-india.com
Find out how you can make a difference at Siemens Energy: https://www.siemens-energy.com/employeevideo
Skills
- Python
- SQL
- PLC
- SCADA
- MES
- Power BI
- IIoT







