Data Engineer

Neara

. Transform raw utility and geospatial data into high-accuracy digital twin models of electricity networks .

Posted 10/26/2026full-timeRemote • LithuaniaMid-LevelSenior💰 €3,000 - €4,000 per monthWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in transforming raw utility and geospatial data into accurate digital twin models, utilizing proficiency in SQL or Python, and a strong understanding of GIS, CAD geoprocessing, and LiDAR data. Capable of performing rigorous QA/QC and effectively communicating technical configurations to diverse audiences.

Highest-signal resume keywords

Data EngineeringSQL ProficiencyPython ProficiencyGIS FamiliarityLiDAR Data Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data TransformationDigital Twin ModelingSchema Language MasteryQA/QC ProcessesData Manipulation

Soft Skills

Excellent Written CommunicationTechnical Articulation

Tools & Technologies

Neara PlatformGIS ToolsCAD Geoprocessing

Industry Keywords

Utility NetworksGeospatial DataAsset DatasetsEngineering BackgroundMathematics Background

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Transform raw utility and geospatial data into high-accuracy digital twin models of electricity networks
Contribute to end-to-end deployment of the Neara platform for utility customers worldwide
Ingest and manipulate massive LiDAR, GIS, and asset datasets using Neara’s schema language and configuration framework
Perform rigorous QA/QC to ensure digital twins accurately reflect real-world physics and customer specifications
Build custom reports and dashboards within the platform for utility engineers
Work with Product and Engineering on process and tool improvements
Help speed up future deployments and automate core deployment processes

Requirements

What you’ll need

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 a new language
Comfortable learning and mastering a new schema language to manipulate data and build reports
Excellent written communication skills
Experience contributing to internal knowledge bases and external user manuals
Ability to articulate technical configurations clearly to diverse audiences 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 can be beneficial
Ability to break down complex data discrepancies and systematically reconfigure models to ensure 100% accuracy

Benefits

Comp & perks

Private health insurance
20 days of holiday
Birthday leave day
Flexible, team-driven environment
Option to work hybrid from the office in Vilnius
Office snacks
Expert-level proficiency in an engineering-grade 3D modeling environment
Exposure to Digital Twin technology
Opportunities to influence the product roadmap
Opportunities to automate core deployment processes
Equity