About The Position

We 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.

Requirements

  • 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 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

Nice To Haves

  • 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)
  • experience with modern C++ is a plus

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
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