Software Engineer - Optimisation Team

Academic Key; Utrecht; Hybrid; EUR 49,000 - 74,000; Full time

Benefits offered by this job

Holiday allowance

30 holidays

Volunteer day

Learning budget

Pension plan

Remote time

Travel covered

Phone allowance

Team events

Job summary

iwell is seeking a Software Engineer for the Optimisation Team in Utrecht. You will shape real-world energy problems into production-ready Python code, building schedulers for EV fleets, batteries and grids while keeping a focus on operational reliability and maintainability.

You will work with data, forecasting or optimisation models, push code to production, monitor results and collaborate with the team on tooling, data pipelines and modelling conventions.

Qualifications

• 5+ years of production Python development experience.
• Ability to translate real-world problems into code.
• Fluent in English with strong written and verbal communication.
• Experience with data, modelling or forecasting is a plus.
• Interest in energy, batteries or electricity domain is welcome.

Responsibilities

• Create production Python code translating operational problems into schedulers.
• Build forecasting or modelling components used in production.
• Package, deploy, monitor and perform bugfixes for production
• Collaborate with the Optimisation team on data pipelines and conventions.

Skills

Python

Production Python

English

Communication

Data analysis

Forecasting

CVXPY

Pyomo

Tools

CVXPY

Pyomo

Job description

Software Engineer - Optimisation Team

iwell · Utrecht, Utrecht, Netherlands

Location: Utrecht, Utrecht, Netherlands. Employment type: Mid fulltime fixed term.

About iwell: At iwell, we are all about reinforcing energy security. We help European businesses become more energy independent. With growing regulations, extreme price volatility and rising grid issues, they need to be resilient. It is time to take charge and think ahead. We deliver energy management solutions that ensure that businesses are always in control of their energy. Our in-house developed EMS and modular battery storage drive profit through sustainability, making businesses future‑proof. We are a fast‑growing international team of bold, talented individuals. From engineers and software developers to creative thinkers and customer‑focused business developers. No matter what your strong suit is, we always are looking for people who are determined to make a positive impact.

The Role

The Optimisation team builds the Python applications that decide what our customers' energy assets should do, and when. Batteries, EV fleets, solar and grid connections all come together in our optimiser, and the team turns prices, forecasts and constraints into schedules and decisions that run in production every day. Much of this work has an operations‑research flavour, and the problems rarely arrive neatly defined.. They arrive as a customer who needs their vans charged by 6:00 at the lowest cost or a battery whose value depends on the hour. We're looking for someone who is comfortable across that whole path: understanding the real‑world problem, shaping it into something a computer can solve, and shipping and operating the result. You don't need to be an OR specialist. You do need to be a strong Python engineer who enjoys messy, concrete problems. Success in this role means being able to: Take a loosely defined operational problem and turn it into working, maintainable production code. Work with data and models (optimisation, forecasting or plain statistics) without losing sight of the engineering.

What you will do

• Create charging schedules for EV fleets that minimise electricity costs while guaranteeing every vehicle is ready when it needs to be. This means modelling tariffs, grid limits and departure times, and handling what happens when reality deviates from the plan.
• Calculate the value of each kWh produced or consumed, so that batteries, solar and flexible loads are steered by what energy is actually worth at that moment, and customers can see where their savings come from.
• Build forecasting models that predict operational issues before they happen, to maximise asset uptime and reduce the number of support tickets our Operations team has to handle.
• Take your work all the way to production: packaging, deployment, monitoring and bugfixing.
• Work with the rest of the Optimisation team on the shared tooling, data pipelines and modelling conventions the team uses..

What we are looking for

• 5+ years of production Python development experience, writing clean, tested, maintainable code.
• A proven ability to translate real‑world problems into working code.
• A pragmatic mindset: you choose the boring, well‑understood solution when it's the right one, and you know when it isn't.
• Strong communication skills and a habit of documenting your work.
• Fluency in English is required.
• Weekly working hours of 32-40 hours.
• Coming into the office 3-4 days per week.
• Bonus points for None of these are required.
• We'd rather hire a strong engineer and teach the domain than the other way around.
• Experience with a modelling library such as cvxpy or Pyomo, or other operations research experience..
• Time-series forecasting in production, or basic MLOps: keeping models trained, monitored and honest.
• Data analysis experience.
• Energy, battery or electricity domain knowledge: tariffs, grid constraints, day‑ahead and imbalance markets.
• The willingness to take on a People lead role in the team.
• Note: at iwell, we value growth potential over perfection. Feel free to respond if you can see yourself meeting this list in the (near) future.

What we offer

• A competitive salary within the range of EUR 4400-EUR6600 + 8% holiday allowance 30 holidays per year, plus an annual company trip of 3 days
• The opportunity to do volunteer work, by offering 1 volunteer day per year
• Learning & Development budget of EUR 1,500 per year
• Attractive pension plan with Brand New Day
• Working remotely for 2 weeks per year
• We cover your travel costs, regardless of whether you come by bike, car, or public transport.
• A mobile phone allowance of EUR 25 per month
• Additional activities such as a bootcamp, volleyball tournament, company drinks etc.

For more information about iwell, what we do, why we do it, and an overview of our partners, visit https://iwell.eu/.