We’ve built a system that predicts various signals about the electricity system on a 72 hour horizon, worldwide. Now we’re in the process of expanding the dimensions, horizons, and granularity of our forecasts. We’re building a platform that can generate high-quality forecasts without requiring bespoke engineering effort for each signal or geographical area.

To help us move quickly, we’re looking for an experienced data engineer to join our team. Our ideal candidate has scaled ML systems and designed pipelines for large-scale time series data, supporting all stages of the model life cycle while keeping complexity low.

We’re looking for an experienced Data Engineer who thrives on tackling complex scaling challenges, enjoys collaborating and isn’t afraid to get hands-on with implementation.

About Electricity Maps 🌎

Electricity Maps is on a mission to accelerate the transition to a decarbonized electricity system. Our platform provides real-time and forecasted electricity data, helping companies like Google and Cisco to unlock flexibility and reduce emissions.

• Our free map product is used by millions of people around the world

• Our API powers products at some of the world’s largest enterprises

• We’re backed by top-tier investors with deep experience scaling developer-first, climate-focused companies

What You’ll Build and Own 🧱

You’ll work on data pipelines, feature stores, and ML infrastructure that is flexible enough to predict multiple signals in over 350 regions around the world.

Today, our signals are:

• Load

• Day-ahead prices

• Carbon intensity

• Renewable energy %

• Electricity mix (all generation sources) 

We have the vision to keep adding more signals and features to our forecasting platform such as: balancing prices and curtailment.

You’ll:

• Shape and build solutions with our lead and other engineers on the team

• Ship fast, iterate based on real feedback, and own your work in production

• Refine how we build, deploy, and scale across the stack

You’ll Thrive Here If You… 🔍

• Have built ML systems at scale (feature stores, model registries, experimentation → training → inference → monitoring)

• Have experience with time series forecasting and handling millions of data points

• Balance pragmatism with ambition:  scoping to fit the appetite, not over-engineering

• Enjoy fast-paced, high-impact cycles and making product/technical decisions independently

• Care about usability, performance, and delivering real value to users

• Mentor colleagues, spar with peers, and raise the team’s overall level

• Our stack: Python, PostgreSQL, BigQuery, and GCP. No need for exact matches 🫶🏻  just be comfortable working across modern data platforms.

Bonus points if you…

• Bring experience from the energy domain

Role Details📍

• Full-time

• Based in Copenhagen

• Competitive salary + stock options

• 6 weeks vacation + full health insurance