Implementation Engineer

🔥 1 minute ago

🇷🇴 Romania – Remote

💵 €3k - €4k / month

⏰ Full Time

🟡 Mid-level

🟠 Senior

🛠️ Implementation Specialist

👻 Ghost score 20%

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Neara

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2016

💼 Consulting

📦 Logistics

🏭 Manufacturing

💰 Series B on 2022-05

Consulting • Logistics • Manufacturing

Neara is a predictive modeling software company focused on enhancing network governance for utilities through proactive risk management and digital asset management. By simulating real-world scenarios like severe weather, Neara enables utilities to identify vulnerabilities, prioritize maintenance, and optimize network design more efficiently. Their solutions include asset health assessments, vegetation management, and tools for renewable energy integration, ultimately helping utilities ensure reliability and resilience in their operations.

📋 Description

• Transform raw utility and geospatial data into high-accuracy digital twin models of electricity networks • Contribute to the end-to-end deployment of the Neara platform for utility customers worldwide • Ingest and manipulate massive LiDAR, GIS, and asset database 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 to accelerate future deployments

🎯 Requirements

• 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 • Ability to learn and master a 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 • Ability to break down complex data discrepancies and systematically reconfigure models to ensure 100% accuracy • 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

🏖️ Benefits

• Direct impact on the safety and reliability of global power grids • Expert-level proficiency in an engineering-grade 3D modeling environment • Exposure to cutting-edge Digital Twin technology • Opportunities to influence the product roadmap • Opportunities to automate core deployment processes

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