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Senior Data Engineer (electricityMap)

💼 Full-time🗓 2026-06-25

Core

Building and optimizing large-scale batch and real-time data pipelines to power electricityMap's data insights and emission tracking.

Role type

Senior Data Engineer

Builds

Data pipelines and infrastructure for electricityMap

Domain

Energy / Climate Tech / Cloud Data Engineering

Deliverable

production ML models | infrastructure

Required skills

Spark, Apache Beam, Google Cloud Platform, time series data processing, data modeling, data storage, cloud pipeline deployment, testing

Preferred skills

autonomy, problem-solving, empathy

Technologies

Spark, Apache Beam, Google Cloud Platform

Responsibilities

Build large-scale batch and real-time data pipelines; Drive optimization, testing and tooling to improve data quality; Collaborate with software engineers and ML experts to ensure data accuracy

Seniority

Senior, hands-on IC

Rewrite
## About the role We're facing increasing demand for our data and insights, and to meet this demand we need to improve our data pipeline and other infrastructure. Your job will be to enable this by: - Building large-scale batch and real-time data pipelines with data processing frameworks like Spark, Apache Beam and the Google Cloud Platform - Driving optimization, testing and tooling to improve data quality and ensure reliability - Collaborating with other software engineers, ML experts and community experts to ensure that electricityMap delivers the most accurate data ## About you We're looking for a purpose-driven and empathetic data engineer who is comfortable with autonomy and tackling challenging problems that will help the world understand and reduce its emissions. Your personality, breadth of experience and your hunger to learn means more than years of experience. Even if you don't fullfill all the skills listed below, do apply! As the ideal future teammate, you - Know how to work with and process high volumes of time series data - Are knowledgeable about data modeling, data access, and data storage techniques - Have experience deploying and maintaining data pipelines in the cloud - Have experience deploying and testing
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