Smart Grid Control Systems Engineer

Startup Atlas; Oost-Vlaanderen; À distance; EUR 45 000 - 65 000; Plein temps

Résumé du poste

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.

Responsabilités

• 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.

Connaissances

Electrical engineering

Control systems engineering

Data science basics

Python

NumPy

Scikit-learn

Formation

Electrical / Electromechanical / Control Systems Engineering

Outils

Python

NumPy

Scikit-learn

Description du poste

SmartgridOne is an advanced Energy Management System (EMS) that optimizes batteries, charging stations, solar installations, heat pumps, and on/off loads. It takes dynamic energy prices into account and enables self-consumption optimization, load balancing, and peak shaving to automatically maximize savings. Available as a local device or cloud-based solution.

Develop advanced control algorithms and predictive models for the SmartgridOne EMS to optimize energy management and grid stability.

Job Description

Job Description:

Eniris is looking for a Smart Grid Control Systems Engineer to join our core development team. You will help shape the evolution of our flagship energy management system, SmartgridOne EMS, contributing directly to a smarter, greener, and more responsive power grid.
Working at the intersection of electrical engineering and data science, you will develop and improve the control logic that makes our EMS “smart.” Your work will have a real-time impact on energy efficiency and cost savings, and you will act as a technical reference for both internal teams and clients when dealing with complex grid scenarios.

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 accurately forecast power import and export, accounting for variables like weather,
  usage patterns, and market pricing.
• Cost Optimization: Architect and tune optimization algorithms to minimize operational costs and maximize the ROI of energy assets for our clients.
• System Enhancement: Identify and execute general improvements to the SmartgridOne architecture to increase reliability,
  scalability, and performance.
• Technical Advisory: Act as the subject matter expert for the support team and provide high-level technical clarity to clients
  regarding system behavior and energy strategy.

Profile:

• A degree in electrical, electromechanical or control systems engineering, or a related field with a strong grasp of electrical power systems.
• Experience in control systems engineering (e.g., feedback loops, PID, MPC, or state-space representation).
• Data Science Skills: Working knowledge of Machine Learning techniques, particularly as they apply to time-series forecasting and pattern recognition.
• Programming Proficiency: Strong Python skills are essential, including experience with libraries such as NumPy, Scikit-learn, ... for optimization.
• Problem Solver: An analytical mindset capable of troubleshooting complex interactions between software logic and physical electrical hardware.

What we offer:

• A challenging and diverse role within an innovative and growing company.
• A competitive salary with additional benefits.
• Opportunities for professional development and career growth.
• A dynamic work environment with an enthusiastic team.