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8 дней назад

Implementation Engineer (Digital Twin)

3 000 - 4 000€
Формат работы
remote (только Romania)
Тип работы
fulltime
Грейд
middle
Английский
c1
Страна
Romania
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Implementation Engineer (Digital Twin): Transforming utility and geospatial datasets into high-accuracy digital twin models of electricity networks with an accent on GIS, LiDAR, asset data, and engineering-grade validation. Focus on configuring models with a schema language, resolving complex data discrepancies, building utility reports and dashboards, and supporting large-scale platform deployments.

Location: Remote from Romania

Salary: €3,000–€4,000 per month

Company

hirify.global uses machine learning and physics-enabled digital twins to model electricity grids, helping utilities assess infrastructure risks, optimize investments, and prepare for extreme weather.

What you will do

  • Contribute to end-to-end deployment of the hirify.global platform for utility customers worldwide.
  • Ingest and manipulate large LiDAR, GIS, and asset datasets using hirify.global’s schema language and configuration framework.
  • Perform rigorous QA/QC to ensure digital twins accurately represent real-world physics and customer specifications.
  • Build custom reports and dashboards for utility engineers.
  • Work with Product and Engineering on process and tooling improvements, including deployment automation.

Requirements

  • Proven experience as a Data Engineer, Implementation Engineer, Integration Engineer, Software Engineer, or in a similar role.
  • Proficiency in at least one major programming or data language, such as SQL or Python, and the ability to learn a new language.
  • Ability to learn and use a schema language to manipulate data and build reports.
  • Excellent written communication skills, including experience contributing to internal knowledge bases and external user manuals.
  • Fluent English required for clearly explaining technical configurations to diverse audiences.
  • Ability to break down complex data discrepancies and systematically reconfigure models to achieve 100% accuracy.

Nice to have

  • Background in engineering, mathematics, software engineering, computer science, or a related field.
  • Familiarity with GIS, CAD geoprocessing, or LiDAR data.

Culture & Benefits

  • Work on technology that supports the safety and reliability of global power grids and helps utilities prepare for climate-driven weather events.
  • Develop expert-level proficiency in an engineering-grade 3D modeling environment and digital twin technology.
  • Join a fast-scaling delivery team with opportunities to influence the product roadmap.
  • Help automate core deployment processes.

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