Implementation Engineer

About the role

As an Implementation Engineer, you will transform raw utility and geospatial data into high‑accuracy digital twin models of electricity networks. You will work with GIS, LiDAR, and asset data sets, configure models using Neara’s schema language, and ensure engineering‑grade accuracy. You will join the Deployment Team responsible for delivering the Neara platform to utility customers worldwide.

Key responsibilities

• Contribute to the end‑to‑end deployment of the Neara platform for utility customers worldwide.
• Ingest and manipulate massive datasets (LiDAR, GIS, and asset databases) using Neara’s schema language and configuration framework.
• Perform rigorous QA/QC to ensure the digital twin accurately reflects real‑world physics and customer specifications.
• Build custom reports and dashboards within the platform to drive actionable insights for utility engineers.
• Collaborate with Product and Engineering teams to provide feedback that speeds up future deployments.

Required profile

• Proven experience as a Data Engineer, Implementation Engineer, Integration Engineer, Software Engineer, or similar role.
• Proficiency in at least one major language such as SQL or Python and ability to learn Neara’s schema language.
• Excellent written communication skills and ability to articulate technical configurations clearly in fluent English.
• Background in engineering, mathematics, software engineering, computer science, or a related field is preferred.
• Familiarity with GIS, CAD geoprocessing, or LiDAR data is beneficial.

Required skills

• GIS
• LiDAR
• SQL
• Python
• Schema language (Neara)
• Data ingestion
• QA/QC
• Custom reporting
• Dashboard creation

What we offer

• Competitive salary and private health insurance.
• 20 days of holiday plus a “birthday leave” day.
• Flexible, team‑driven environment with remote or hybrid work options from the Vilnius office (including office snacks).
• Direct impact on the safety and reliability of global power grids.
• Opportunity to gain expert‑level proficiency in engineering‑grade 3D modeling and digital twin technology.
• Fast‑scaling company with influence on product roadmap and deployment automation.