Digital Solutions Engineer – Field Operations

We are looking for a Digital Solutions Engineer to join our growing Global Spares and Services organization. In this role, you will play a critical part in enabling Field Service teams with the data, knowledge, and digital tools needed to improve service efficiency, drive first-time-right outcomes, and reduce equipment installation and maintenance cycle times at customer sites.

This is a highly cross-functional role at the intersection of data engineering, application development, and operational enablement, ideal for someone who enjoys solving real-world problems by integrating systems and building impactful solutions.

Key Responsibilities

• Develop internal digital applications and tools that streamline and digitize installation, maintenance, and service workflows
• Enable analytics use cases by structuring and modeling data for reporting, dashboards, and operational decision-making
• Consolidate and deliver knowledge from multiple sources into user-friendly tools and applications for field teams
• Build and manage data pipelines that integrate data from enterprise systems, vendor sources, and operational environments to support analytics and business insights
• Collaborate with cross-functional teams (Engineering, Service, IT, Product) to deliver scalable, high-impact solutions
• Enhance user experience and usability of tools used by field engineers, focusing on simplicity, reliability, and efficiency
• Partner with IT and platform teams to ensure integration, deployment, and ongoing support of solutions

Minimum Qualifications

• Bachelor's degree in computer science, Software Engineering, or a related field
• 3+ years of professional industry experience
• Experience in data integration
• Experience with mobile / handheld devices and web application development
• Experience building internal tools, applications, or automation solutions
• Strong programming skills in Python (required); experience with modern C++ is a plus
• Experience with cloud platforms (Azure / AWS)

Preferred Qualifications (Nice-to-Have)

• Experience building engineering tools, diagnostic interfaces, or HMIs (e.g., Python frameworks, LabVIEW)
• Familiarity with knowledge management systems or search platforms
• Exposure to AI/ML or GenAI-enabled applications

What Makes This Role Unique

• Direct impact on field operations and customer outcomes
• Opportunity to work across data, applications, and real-world engineering systems
• High visibility with multiple business functions
• Ability to shape and scale digital capabilities in a growing organization

Note: Position is not eligible for immigration sponsorship