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Data Engineer Forecasting
4 months ago
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
