Ember
Clean Energy
DataEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Engineer at Ember. Skills: Data Engineering, Python Development, ETL. Develop new ETL scripts. Gather data from sources”
Industry & Context.
Data transformation
What They're Looking For.
Must Have
1+ year Python development, SQL databases experience, Numerate and data literate, Excellent data extraction skills, Excellent data transformation skills, Thoughtful AI coding tools use, Critically evaluate AI outputs, Fluent English, Work in remote team
Nice to Have
Data pipelines on orchestration platform, Version control software experience, Cloud platforms experience, Experience with business users, Other language skills, Power sector experience, Clean energy sector experience
What You'll Do.
Develop new ETL scripts
Gather data from sources
Validate data from sources
Run existing data pipelines
Maintain existing data pipelines
Improve existing data pipelines
Write pipelines with best practices
Ensure data highest standard
Ensure output highest standard
How You'll Work.
Team & Collaboration
Remote international team
Full Job Description
**Use your coding and data skills to work on the most important challenge of our time: shifting the world to clean energy.** **The role** Ember publishes the best-in-class dataset on global electricity generation and the data team is growing as we expand our datasets to new areas such as installed renewable capacity, price, battery storage, grids and flexibility, EV and heat pump deployment. We are looking for someone to use their data and coding skills to ensure we can quickly gather and curate data from new sources, as well as helping to run, maintain and document existing data pipelines. This role offers an exciting opportunity to learn from a knowledgeable and passionate team of engineers and analysts while applying your development skills towards the clean energy transition. **About Ember** Ember is an independent, not-for-profit energy think tank that aims to accelerate the clean energy transition with data and policy. We gather, curate and analyse data on the power sector and coal mine methane emissions, and use our findings to improve energy and climate policy. See our work at [](http://www.ember-climate.org)[**https://ember-energy.org/**](https://ember-energy.org/) and [](https://twitter.com/EmberClimate)[**https://x.com/ember_energy**](https://x.com/ember_energy) Please note that our interview process consists of two stages. We are working to a relatively tight recruitment timeline, with first-stage interviews planned for 6–7 July and second-stage interviews planned for 14–15 July. If you anticipate any difficulties attending interviews during these dates, please let us know in your application and we will do our best to accommodate where possible. **Key responsibilities** * Develop new ETL scripts using python to gather and validate data from a variety of sources e.g. APIs, web scraping. * Work with our data engineering team to deploy ETL scripts within our orchestrated data platform based on Dagster and BigQuery. * Help run, maintain, and improve existin
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