Senior Algorithm Development Expert - BESS - Remote - Europe - €90-€105k + Benefits

EVEREC; España; Remote; EUR 81,000 - 99,000; Full time

Benefits offered by this job

30 days leave

60 days remote

Professional learning

Job summary

EVEREC seeks a Senior Algorithm Development Expert to design and implement production-grade decision systems for automated trading of grid-scale batteries and renewable assets. You will work across quantitative design, production engineering, and live operations to ensure algorithms perform reliably in trading conditions.

As an individual contributor, you will own complex technical problems, shape algorithms from definition to deployment, and collaborate with product and engineering teams to set

Qualifications

• Delivery of production-ready algorithms or quantitative decision software.
• Degree or equivalent in engineering, math, physics or CS.

Responsibilities

• Turn objectives into designs respecting asset capabilities and market rules.
• Build production software that is understandable and testable.
• Create backtests and simulations with imperfect data and edge cases.
• Compare outcomes with live performance and guide improvements.
• Add diagnostics and safe operating responses for Trading Operations.

Skills

Go

Rust

C++

Java

C#

English proficiency

Education

Bachelor’s or higher in engineering/math/CS

Tools

Python

Job description

Role: Senior Algorithm Development Expert

Location: Austria, Belgium, Netherlands, Slovakia, Spain or UK

Working Arrangements: Fully Remote

Benefits: 30 days annual leave, up to 60 days remote from your base country

Build software that helps flexible energy assets respond to changing power markets.

We're hiring a senior algorithm specialist for a European company to develop the decision systems behind automated trading of grid-scale batteries and other renewable energy assets. You'll work across quantitative design, production engineering and live operations, making sure algorithms perform well in testing and behave reliably in real trading conditions.

This is an individual contributor role for someone who enjoys owning complex technical problems and helping a team make sound engineering decisions.

The work

You'll shape an algorithm from initial problem definition through evaluation, release and ongoing improvement. That includes:

• Turning trading objectives into designs that respect asset capabilities, market rules and agreed risk limits.
• Building production software that is understandable, testable and adaptable to different assets and markets.
• Creating backtests and simulations that account for imperfect data, unusual scenarios and operational edge cases.
• Comparing algorithm outcomes with live performance, finding the drivers behind unexpected results and using evidence to improve decisions.
• Adding diagnostics and safe operating responses so issues can be detected and investigated with Trading Operations.
• Working with product and engineering colleagues to set measurable outcomes, weigh implementation options and plan delivery.
• Reviewing code, improving automated checks and supporting safe releases.
• Exploring AI-assisted and agentic tools in development and analysis, while applying appropriate review and quality controls.
• Sharing technical context through pairing, reviews and clear documentation.
• Supporting research, pilots and launches in new markets alongside platform and integration teams.

Your experience

• A strong record of delivering algorithms or quantitative decision software that runs in production.
• Professional experience with a compiled language such as Go, Rust, C++, Java or C#.
• Strong numerical reasoning and a degree or equivalent experience in a relevant field, such as engineering, mathematics, physics or computer science.
• The ability to use data from testing and live systems to assess performance, spot data limitations and guide changes.
• Good software engineering habits, including readable code, automated testing and constructive collaboration.
• Confidence working through operational constraints and explaining technical trade-offs in English.
• A practical approach to risk, uncertainty and technical ownership.

Useful additional experience

• Battery storage optimization, power trading or European electricity markets.
• Scheduling or trading for physical assets.
• Mathematical optimization, forecasting, simulation, backtesting or time-series analysis.
• Python-based data exploration or experimentation.
• Distributed systems or software operated in high-availability, around-the-clock environments.

Compensation and benefits

The annual gross salary starts at €90,000, with the final offer reflecting experience and skills. Benefits include 30 days of annual leave, support for professional learning, a modern technology environment and the option to work from another location for up to 60 days, subject to policy.

Experience in energy trading, battery storage, power markets or renewable assets is welcome, but we're also interested in candidates who can bring strong algorithm development and production engineering experience from other fields.