Data & Digital Solutions Engineer - Field OperationsWe are looking for a
Data & 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
- Build and manage data pipelines that integrate data from enterprise systems, vendor sources, and operational environments to support analytics and business insights
- 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
- 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
- 2+ years of professional industry experience
- Experience in data integration / data engineering (ETL/ELT, APIs, SQL/NoSQL)
- Strong programming skills in Python (required); experience with modern C++ is a plus
- Experience with mobile / handheld devices and web application development
- Experience building internal tools, applications, or automation solutions
- Experience with cloud platforms (Azure / AWS)
- Solid understanding of data modeling and working with multiple data sources
- Ability to work across systems (e.g., enterprise applications, APIs, files, operational data)
- Strong problem-solving skills and ability to operate in a cross-functional environment
Preferred Qualifications (Nice-to-Have)
- Exposure to AI/ML or GenAI-enabled applications
- Experience building engineering tools, diagnostic interfaces, or HMIs (e.g., Python frameworks, LabVIEW)
- Familiarity with knowledge management systems or search platforms
- Exposure to BI tools and dashboarding (e.g., Power BI, Tableau)
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
