Data Engineer (AI)

TL;DR

Data Engineer (AI): Transforming raw utility and geospatial data into high-accuracy digital twin models of electricity networks with an accent on LiDAR, GIS, and asset data processing. Focus on configuring models using proprietary schema languages, performing rigorous QA/QC, and building custom reports to drive actionable insights for global utility customers.

Location: Hybrid (Vilnius) or Remote

Company

hirify.global creates engineering-grade, physics-enabled digital twins of electricity grids to help utilities optimize investments and improve resilience against extreme weather.

What you will do

• Contribute to the end-to-end deployment of the platform for utility customers worldwide.
• Ingest and manipulate massive datasets including LiDAR, GIS, and asset databases.
• Perform rigorous QA/QC to ensure digital twins accurately reflect real-world physics.
• Build custom reports and dashboards to provide actionable insights for utility engineers.
• Collaborate with Product and Engineering teams to improve deployment processes and tools.

Requirements

• Fluent English with excellent written communication skills.
• Proven experience as a Data Engineer, Implementation Engineer, or similar role.
• Proficiency in at least one major language such as SQL or Python.
• Ability to learn and master new schema languages for data manipulation.
• Strong analytical skills to resolve complex data discrepancies.
• Background in engineering, mathematics, computer science, or related field.

Nice to have

• Familiarity with GIS, CAD geoprocessing, or LiDAR data.
• Experience contributing to internal knowledge bases and user manuals.

Culture & Benefits

• Competitive salary and private health insurance.
• 20 days of holiday plus a birthday leave day.
• Flexible work environment with hybrid or remote options.
• Direct impact on global power grid safety and climate resilience.
• Exposure to cutting-edge Digital Twin technology and 3D modeling environments.