Manufacturing Data & Digitalization Engineer

Procter & Gamble is hiring a Manufacturing Data & Digitalization Engineer. Level rates it ; you can apply on Procter & Gamble.

Level's read on this job

Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
The posting mentions Grafana, PLC and computer vision among its tools and skills.
Level classes it as a mid-level role.
Procter & Gamble has 875 other open roles on Level.
Posted in the last few days.

AI in this role

Develop manufacturing data collection systems, dashboards, and digital AI solutions for the Budapest plant.

GrafanaPLC

computer-visionmanufacturing-datadata-visualizationautomationmachine-learning

Job Location

BUDAPEST PLANT

Job Description

Are you passionate about programming, data, and digital technologies and ready to apply your technical expertise in a real manufacturing environment? At P&G, you can make a meaningful impact by developing digital solutions that connect production equipment, data, and technology. You will work hands-on with manufacturing data, industrial systems, visualization tools, and emerging AI technologies while helping shape the future of digital manufacturing at our Budapest Plant. 🎯

🌍ABOUT US:

At Procter & Gamble, we have been working for more than 180 years to make everyday life easier for millions of people around the world through our trusted and well-known consumer brands. As a global company, we are present in around 70 countries, and our portfolio includes internationally recognized brands such as Always®, Ariel®, Gillette®, Head & Shoulders®, Pampers®, Pantene®, Tampax®, Naturella® and Discreet®. Our Budapest Plant in Csömör has been part of P&G’s international manufacturing network since 1991. In our facility, we produce feminine hygiene products on modern, automated production lines, including products related to the Always®, Naturella®, Discreet® and Tampax® brands. In our work, we place strong emphasis on safety, quality, collaboration and continuous improvement. Our manufacturing processes are supported by automated technologies, technical systems and development projects. Our warehouse and material handling teams ensure that the necessary raw materials reach the right areas on time and safely. We work in an environment where safety, quality and continuous improvement are at the center of everything we do.

📋WHAT YOU WILL DO:

Develop and support manufacturing and operational data collection systems
Build and maintain connections to PLCs, industrial controllers, and other manufacturing equipment
Design, implement, and program network communication and data connections between manufacturing systems
Develop Grafana dashboards and other data visualization solutions to make manufacturing data accessible and actionable
Process and analyze manufacturing data to support operational and business decisions
Explore, develop, and implement AI, Machine Learning, and other advanced digital solutions in a manufacturing environment
Develop scalable technical solutions tailored to manufacturing and business needs
Collaborate with Operations, Engineering, IT, and other cross-functional teams to deliver digital solutions

🔑WHAT WE ARE LOOKING FOR?

Bachelor’s or Master’s degree in Engineering, Computer Science, Information Technology, or another relevant STEM field
Relevant professional or project background in software development, data engineering, industrial digitalization, automation, or a related technical field
Strong programming skills, with practical knowledge of Python, SQL, .NET, or similar technologies
Working knowledge of databases, data processing, and data modeling
Good understanding of networks, system connectivity, and data communication
Proficiency in Hungarian and English
Strong analytical and problem-solving skills, with the ability to work independently and take ownership of technical solutions

➕NICE TO HAVE:

Familiarity with PLC systems, industrial controllers, or industrial communication protocols
Hands-on knowledge of Grafana or similar data visualization platforms
Understanding of manufacturing data acquisition, industrial networks, or OT/IT connectivity
Exposure to AI, Machine Learning, or Computer Vision projects
Background in a manufacturing, industrial automation, or digitalization environment
Proactive, hands-on mindset and ability to collaborate effectively across Operations, Engineering, and IT teams

Job Qualifications

🎁WHAT WE OFFER

13th month salary
Cafeteria
Employee Assistance Program
Company stock program
Access to P&G Leadership Academy
Extensive training and development training programs focusing on personal and professional development
Commuting allowance (30HUF/km) or free bus service
Life and accident insurance and sick pay supplement
Private medical insurance
Discounted meals
Leadership bonus program

📌KEY HIGHLIGHTS

Location: Csömör, P&G Budapest Gyár
Full-time employment, regular working hours

P&G is an equal opportunity employer committed to building a culture of respect, diversity, and inclusion. We believe everyone should have equal opportunities to learn, grow, succeed, and develop. We do not discriminate based on race, religion, color, gender, sexual orientation, gender identity, age, marital status, veteran status, disability, or any other personal characteristic. We also provide reasonable accommodation for applicants with disabilities during the application or interview process. If you need support, please request accommodation before completing the online assessment.

👉Apply to P&G and become part of our plant community! Complete your online application through our career site, upload your CV, and start shaping your career.
Do something that matters from Day 1. #PGDAY1🤝✨

Job Schedule

Full time

Job Number

R000162823

Job Segmentation

Experienced Professionals

Starting Pay / Salary Range

1,023,600.00 - 1,330,661.00 / month

How we rate this

Manufacturing Data & Digitalization Engineer at Procter & Gamble rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Manufacturing Data & Digitalization Engineer is an open job at Procter & Gamble.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in BUDAPEST PLANT.
The job was posted on November 13, 2026.
Seniority: mid.
Applications are handled by Procter & Gamble. Apply on Procter & Gamble

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Computer visionManufacturing DataData VisualizationAutomationMachine learningGrafanaPLC

Questions you could be asked

Walk me through a computer vision problem you solved, from raw data to a deployed model.
Tell me about a project where manufacturing data was part of your work. What did you do?
Tell me about a project where data visualization was part of your work. What did you do?
Tell me about a project where automation was part of your work. What did you do?
Tell me about a project where machine learning was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Computer vision, Manufacturing Data, Data Visualization, Automation, and Machine learning. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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