
Implementation Engineer
Posted 15 hours ago

Posted 15 hours ago
This is a fully remote position, open to applicants in Lithuania.
• Convert raw utility and geospatial data into high-precision digital twin models for electricity networks.
• Play a key role in the comprehensive deployment of the Neara platform for utility clients globally.
• Ingest and manipulate extensive LiDAR, GIS, and asset datasets utilizing Neara’s schema language and configuration framework.
• Conduct thorough QA/QC to guarantee that digital twins accurately represent real-world physics and meet customer specifications.
• Develop customized reports and dashboards within the platform for utility engineers.
• Collaborate with Product and Engineering teams to enhance processes and tools.
• Assist in accelerating future deployments and automating essential deployment processes.
• Demonstrated experience as a Data Engineer, Implementation Engineer, Integration Engineer, Software Engineer, or a related role.
• Proficiency in at least one major programming language, such as SQL or Python, with the capacity to learn a new language.
• Capability to learn and excel in a new schema language for data manipulation and report generation.
• Strong written communication skills.
• Experience in contributing to internal knowledge bases and external user manuals.
• Ability to clearly explain technical configurations to diverse audiences in fluent English.
• Skill in analyzing complex data discrepancies and systematically reconfiguring models to ensure 100% accuracy.
• A background in engineering, mathematics, software engineering, computer science, or a related field is preferred.
• Familiarity with GIS, CAD geoprocessing, or LiDAR data is advantageous.
• Competitive salary.
• Private health insurance.
• 20 days of vacation.
• One day off for your birthday.
• Flexible, team-oriented work environment.
• Option for remote or hybrid work from offices in Vilnius.
• Office snacks available.
• Gain expert-level proficiency in an engineering-grade 3D modeling environment.
• Exposure to Digital Twin technology.
• Opportunities to influence the product roadmap.
• Chances to automate core deployment processes.
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