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 GIS, LiDAR, and asset data processing. Focus on configuring models using proprietary schema languages, performing rigorous QA/QC, and automating deployment processes to ensure engineering-grade accuracy for global utility customers.

Location: Remote or hybrid from Vilnius, Lithuania.

Salary: €3,000 – €5,000 per month.

Company

hirify.global creates engineering-grade, physics-enabled digital twins of electricity grids to help utilities optimize investments and build resilient energy infrastructure.

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 reflect real-world physics and customer specifications.
• Build custom reports and dashboards to drive actionable insights for utility engineers.
• Collaborate with Product and Engineering teams to improve deployment processes and tools.

Requirements

• Proven experience as a Data Engineer, Implementation Engineer, or similar role.
• Proficiency in at least one major language such as SQL or Python.
• Fluent English with excellent written communication skills for technical documentation.
• Ability to systematically reconfigure models to ensure 100% accuracy.
• Background in engineering, mathematics, computer science, or related fields.

Nice to have

• Familiarity with GIS, CAD geoprocessing, or LiDAR data.

Culture & Benefits

• Competitive salary with equity options.
• Private health insurance and 20 days of holiday plus a birthday leave.
• Flexible work environment with the option to work remotely or hybrid from the Vilnius office.
• Opportunity to work on cutting-edge Digital Twin technology impacting global grid safety.