Data Engineer Forecasting

Electricity Maps’ Forecasting team’s mission is to enable our customers to leverage their flexibility to reduce carbon and cost. We’re looking for a Data Engineer to help the team expand its forecasting capabilities across data types like carbon intensity, power production, price and time horizons. 

About you:

• Have at least 3 years experience working with and processing high volumes of time-series data. As a bonus: you have worked in power or energy forecasting.
• Are knowledgeable about data modeling, data access, and data storage techniques.
• Have experience deploying and maintaining data pipelines in cloud environments (e.g. Google Cloud).
• Thrive in an environment that provides autonomy, that supports your individual growth with interesting tasks.
• Possess a pragmatic and honest communication style.
• Are excited to work with a team with a variety of backgrounds and skill sets.

How you will contribute to our mission:

• Build large-scale batch and real-time streaming data pipelines with data processing frameworks like Spark, Apache Beam and the Google Cloud Platform.
• Promote optimisation, testing and tooling to improve data quality and ensure reliability.
• Collaborate with other software engineers, data scientists and community experts to ensure that Electricity Maps delivers the most accurate data.

About us:

• In addition to our company values, we value transparency, fairness, diversity and open communication
  
• We strive to hire brilliant people who are kind and compassionate humans
  
• We’re all co-located in Copenhagen as we value face-to-face interaction.
• We’re accelerating our growth in the coming months/years, including potentially expanding internationally  

The expected monthly salary for this role is DKK 48500