Smart Grid Control Systems Engineer - Real-Time Optimizer

Startup Atlas

Oost-Vlaanderen

Remote

EUR 45,000 - 65,000

Full time

4 days ago

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Job summary

Eniris is seeking a Smart Grid Control Systems Engineer to join our core development team and shape the evolution of SmartgridOne EMS. You will influence the control logic that enables smarter energy management, with real-time impact on efficiency and cost savings.

Working at the intersection of electrical engineering and data science, you will design advanced algorithms for power flow, forecast imports/exports, and help clients optimize ROI while ensuring reliability and scalability of the

Qualifications

A degree in electrical, electromechanical or control systems engineering or related field.
Experience in control systems engineering (e.g., feedback loops, PID, MPC, or state-space representation).
Data science skills with time-series forecasting and pattern recognition.
Strong Python skills including NumPy/Scikit-learn for optimization.

Responsibilities

Algorithm Development: design, implement, and refine advanced control algorithms to manage power flow, stability, and demand response within the EMS.
Predictive Modeling: develop and maintain models to forecast power import/export considering weather, usage, and pricing.
Cost Optimization: architect and tune optimization algorithms to minimize costs and maximize ROI for clients.
System Enhancement: identify and implement improvements to increase reliability, scalability, and performance of SmartgridOne.
Technical Advisory: act as SME for support teams and explain system behavior to clients.