Software Engineer - Trade Optimization

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.

About the Role

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.

Requirements

What You'll Do

• 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).

About You

• 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.

• Core Skills:

  • Solid Python engineering (data ecosystem knowledge a must).

  • Kubernetes experience.

  • Able to independently deliver production-grade software.

• Nice-to-Haves:

  • SQL, DBT experience.

  • Familiarity with monitoring tools like Sentry and Prometheus.

• 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.

Important: 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.

Why Join Dexter?

• Be part of a fast-growing AI-driven scale-up at the heart of the energy transition.

• Work with a skilled, driven, and collaborative team.

• Real ownership and impact on our next-gen trading technology.

Working with Us

Headquartered in Amsterdam, we’re a hybrid team that balances remote work with in-person collaboration. Most of us work from the office 2-3 days a week to brainstorm, exchange ideas, and drive projects forward together.

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.

Dexter is proud to be an equal opportunity workplace and affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.