Software Engineer, Dexter
Trade Optimization
2-3 days a week in office
AI-powered renewable energy forecasting
Be an early applicant
AI-powered renewable energy forecasting
21-100 employees
Be an early applicant
2-3 days a week in office
21-100 employees
Company mission
To enable a sustainable and affordable power system.
Role
Who you are
- Experience: 3+ years in a software engineering role, with strong hands-on experience in Python
- Mindset: Result-driven, proactive, energetic
- Curiosity: Genuinely interested in the world of (short-term) energy trading or financial markets
- Solid Python engineering (data ecosystem knowledge a must)
- Able to independently deliver production-grade software
- Team Skills: Comfortable working with large codebases and collaborating in multi-person teams. Interested in finding the right balance between building scalable, maintainable software and keeping the speed and pragmatism needed in a fast-moving scale-up
Desirable
- SQL, DBT experience
- Familiarity with monitoring tools like Sentry and Prometheus
What the job involves
- Dexter Energy is an Amsterdam-based scale-up developing AI-powered forecasting and optimization solutions that help renewable energy companies navigate short-term power markets
- We are passionate about accelerating the shift to a sustainable and affordable energy system, enabling the market to move away from fossil fuels toward a future powered by renewables
- We're looking for a Software Engineer to join our Trade Optimization team
- You'll team up with our Quantitative Trading Analysts (QTAs) and fellow Software Engineers to build, operate, and maintain the systems that run our non-asset backed trading strategies in the day-ahead and intraday power markets
- Turn trading strategies developed by QTAs into reliable, maintainable production software
- Build and maintain configuration logic that translates customer needs into product behavior
- Develop and improve monitoring and quality assurance components to safeguard trading performance and PnL
- Engineer and support tools for backtesting trading strategies
- Refactor and continuously improve the codebase for performance, clarity, and resilience
- Work on data engineering tasks to make trading data available for analytics (e.g., product monitoring, invoicing)
- Build and maintain risk control components (e.g., dynamically adjusting exposure based on risk metrics)
- This role is all about software engineering and system-building, not machine learning or MLOps. But that doesn't mean a narrow scope
- You'll be deeply embedded in the same team as our QTAs, working closely with them on trading strategies and risk management logic
- While you won’t be primarily responsible for designing the algorithms, you’ll be in the loop during research and fully own bringing those strategies to life in production. That means real exposure to algorithmic trading and quant finance, and a strong incentive to understand the logic behind what you're shipping
- Join Dexter as a Software Engineer and be part of a team driving the transition to a cleaner, more sustainable energy future. Apply now and help shape the future of renewable energy optimization
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 (2 rounds)
Apr 2023
$11.9m
SERIES B
Mar 2021
$2.3m
SERIES A
Total funding: $14.2m
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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