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Advanced Manufacturing & Digital Solutions Engineer

Job in Airdrie, Alberta, P4B, Canada
Listing for: Nutanix
Full Time position
Listed on 2026-06-06
Job specializations:
  • IT/Tech
    Data Engineer, Systems Engineer
Salary/Wage Range or Industry Benchmark: 82000 - 102000 CAD Yearly CAD 82000.00 102000.00 YEAR
Job Description & How to Apply Below
Eaton’s Electrical sector is currently hiring an Advanced Manufacturing & Digital Solutions Engineer to join the team. This on-site position that is based out of our Airdrie, AB Eaton location and offers benefits from day one.

The expected annual salary range for this role is $82000 - $102000 a year.

Please note the salary information shown above is a general guideline only. Salaries are based upon candidate skills, experience, and qualifications, as well as market and business considerations.

Join Our Team:
Driving Digital Manufacturing at Eaton Are you passionate about applying technology to solve real manufacturing problems? Do you enjoy turning complex data, legacy systems, and manual processes into simple, scalable digital solutions? Eaton is looking for an Advanced Manufacturing & Digital Solutions Engineer to support our manufacturing and CI transformation by blending advanced manufacturing principles, Industry 4.0 technologies, and modern cloud-based solutions.

Reporting to the OPEX Manager, this role is hands-on, requires technical strength, and is highly connected to the shop floor, while working closely with CI, Engineering, IT, and Operations teams to modernize how we plan, manage, and visualize production.

Who We Are Eaton’s manufacturing environment is evolving toward a more connected, data-driven, and digitally enabled operation. Our CI & Advanced Manufacturing team focuses on eliminating waste, improving flow, and enabling better decision-making through technology. This role plays a key part in that journey by bridging manufacturing processes with cloud platforms, analytics, and modern application development.

What You Will DoAs an Advanced Manufacturing & Digital Solutions Engineer, you will support plant and CI leadership by delivering practical digital solutions that improve visibility, performance, and execution on the shop floor.

Digital Manufacturing & Industry 4.0 Execution Support the deployment of Industry 4.0 initiatives focused on data connectivity, visualization, and process monitoring.

Develop and maintain digital tools that support operational KPIs, production tracking, and visual management.

Collaborate with CI and Manufacturing Engineering teams to integrate digital solutions into Lean and Six Sigma initiatives.

OT & Asset Connectivity (Ignition Champion)
Act as the plant OT champion for asset connectivity, responsible for enabling, sustaining, and improving connections from manufacturing assets to the Ignition platform.

Support configuration, maintenance, and troubleshooting of Ignition gateways, tags, alarms, historians, and visualizations to ensure reliable data availability.

Interface with SCADA and PLC systems (e.g., Allen Bradley/Rockwell, Beckhoff or equivalent) to support machine connectivity, data mapping, programming, and basic troubleshooting.

Partner with Maintenance, Engineering, and IT to diagnose connectivity issues, performance gaps, and data quality problems; drive root cause and corrective actions.

Apply cybersecurity and network-awareness best practices when working with OT systems; coordinate changes through appropriate change management.

Create and maintain clear OT documentation (network diagrams, tag standards, connectivity guides) and support user training for sustained adoption.

Application Development & Cloud Migration Lead or support the migration of legacy tools (e.g., complex Microsoft Access databases used as visual boards) to modern, cloud-based architectures.

Design, develop, and maintain solutions using the Microsoft 365 full stack, including Power Apps, Power Automate, Power BI, Dataverse, SharePoint, and Teams integration.

Implement cloud-native components using Microsoft Azure (Azure SQL, Azure Functions, Logic Apps, App Services, identity and security concepts).Design data models and pipelines leveraging Snowflake or equivalent cloud data platforms where appropriate.

Apply software development best practices including version control, testing, documentation, and security-by-design.

Data, Analytics & Automation Structure, clean, and model manufacturing data to improve data quality and usability.

Automate manual data collection, reporting, and…
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