Software Engineer, Dexter
Machine Learning Products
AI-powered renewable energy forecasting
Job no longer available
AI-powered renewable energy forecasting
21-100 employees
Job no longer available
21-100 employees
Company mission
To enable a sustainable and affordable power system.
Role
Who you are
- At least 4 years of experience in software development with proficiency in Python
- Proficiency in designing and implementing clean code, managing dependencies, applying DevOps and CI/CD principles, testing methodologies, collaboratively software engineering, and performance monitoring
- Knowledge of the machine learning model life cycle
- Excellent communicative skills, with good command of the English language
What the job involves
- Join us in the Product Department, the hub of ideation and execution, where our Data Scientists, Machine Learning Engineers and Software Developers develop cutting-edge AI solutions to optimize renewable energy
- As a core member of our machine learning product teams, you will play a pivotal role in the development and operation of our software products, with a key focus on reliability and scalability
- You will take care of the automated retraining and serving of multiple machine learning models that forecast electricity market prices and renewable power generation
- Your background in software engineering and solution architecture will equip you to work closely with data scientists, transforming experimental code into a maintainable software package that meets the highest standards of software engineering
- As you are running customer-facing products, you'll commit to ensuring code and data quality, as well as monitoring product and system performance
- You’ll be working on a diverse set of challenges, using technologies, such as the Python data/ML stack, Airflow, Google Cloud Platform, Docker, Kubernetes and Helm and various databases
Our take
Dexter provides highly accurate energy forecasts to renewable energy producers. Its algorithm analyses current and historic weather data to determine how much electricity windmills and solar panels will generate on a given day. This enables energy companies to reduce imbalances on the grid by determining energy loads, helping companies to optimise their renewable electricity production and consumption.
As the energy market continues to shift, large-scale providers must be able to anticipate changing weather and market conditions. Since the company’s AI-powered software enables companies to manage increasing imbalance costs, Dexter has considerable growth potential as it expands its services across Europe and into the UK.
Kirsty
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 3 rounds)
Jul 2025
$26.9m
SERIES C
Apr 2023
$12.3m
SERIES B
Total funding: $41.6m
Company benefits
- Hybrid way of working: Most of us come to the office 2-3 days a week. You can work up to 30 days per year from abroad
- Home office: Laptop, monitor, and extra budget for stuff such as headphones or keyboard
- Travel expenses covered: NS business card or a Swapfiets subscription
- Dog-friendly office: Enjoy the cuddles of your furry friend in our modern and spacious office in Amsterdam
- Lunch together: Free office lunches every day and two special, tasty meals each week, cooked by our chef
- Fun activities: Vrijmibos, team outings, holiday-themed events, and plenty of other activities to enjoy together
Company HQ
Omval, Amsterdam, Netherlands
Leadership
Luuk Veeken
(CEO)Former Business Analyst at Yellow & Blue Investment Management. Former World Healthcare Forum Board Member and Founder of the Sustainable Healthcare Challenge.
Hubert Penn
(Co-Founder, CCO & COO)Former General Manager at WearActive Austria. Previously worked as an Analyst at NPM Capital.
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