BESS Optimization Engineer

Role Overview

• Design, maintain and evolve techno-economic models for battery valuation (standalone or hybrid PV/wind + storage) across different geographies and market frameworks.
• Develop revenue-optimization models under constraints (technical, grid, contractual, degradation, availability), using a decision-oriented approach.
• Explore and prototype data/AI approaches to improve forecasting, usage allocation and operational strategies.
• Perform analyses required for sizing (load profiles, usage scenarios, sensitivities, stress tests) and clearly document assumptions.
• Translate model outputs into decision options (CAPEX/OPEX trade-offs, performance/risk, operations/warranties) and provide actionable recommendations for project teams.
• Incorporate construction and connection constraints (EPC, scheduling, HSE, technical requirements) into modeling assumptions and contribute to project trade-offs to secure feasibility.
• Contribute to investment and financing packages: base cases, risk analyses, consolidation of results and decision support materials.
• Support Business teams in preparing offers and briefing notes (assumptions, sensitivities, order-of-magnitude estimates) to secure decisions and go-to-market strategy.
• Structure and harden modeling components used in our commercial offers (self-consumption, PPA, system services, arbitrage, PV + storage hybridization).
• Produce technical notes, presentations and quantitative arguments for internal teams and external partners.
• Facilitate discussions/workshops with project teams to define needs, clarify assumptions and ensure results are understood and adopted (simplification, Q&A, quick iterations).
• Interact with stakeholders (suppliers, aggregators, consultants, technical advisors, grid operators) to challenge assumptions and consolidate model inputs.
• Participate in continuous improvement of tools, best practices and knowledge capture (templates, libraries, tests, documentation) and support team skill development.
• Define and monitor techno-economic performance indicators (technical, availability, degradation, financial) in collaboration with Operations/Asset Management/Financing teams.
• Analyze deviations between expected and observed performance, identify root causes and propose corrective actions (assumptions, operating strategy, model parameters).
• Work with O&M teams, EPC contractors and suppliers to investigate incidents/performance (data + field feedback) and define pragmatic action plans (parameter tuning, operations, maintenance).
• Use operational data to recalibrate models, improve optimization methods and increase the reliability of projections for future projects.

Requirements

• Master's degree (engineering, MSc or PhD) in energy engineering, applied mathematics, data science or a related field
• Minimum 3 years' experience in modeling, simulation or optimization — a PhD is valued in this regard
• Strong command of modeling and optimization: linear/mixed-integer programming, constrained optimization, sensitivity analysis, uncertainty management
• Excellent proficiency in Python and/or Matlab, with attention to code quality and structure
• Familiarity with optimization tools: Pyomo, PuLP, Gurobi, OR-Tools, GAMS
• Comfortable with operational data: cleaning, quality control, visualization, producing traceable results
• Experience with energy assets (batteries / BESS) is a plus
• Professional working proficiency in English required.

Tech Stack

• Python

Benefits

• Health insurance (Alan)
• Meal vouchers
• Gift vouchers
• Employee savings plan
• Profit-sharing
• Employee referral bonus
• Multi-brand discount platform
• Café Joyeux coffee and fruit baskets
• One to two days of remote work per week