Data Engineer

Ember is an independent, not-for-profit energy think tank that aims to accelerate the clean energy transition with data and policy. They gather, curate and analyse data on the power sector and coal mine methane emissions, and use their findings to improve energy and climate policy.

• At least one year experience developing and deploying Python code.
• Experience working with SQL databases.
• Numerate and data literate, with excellent data extraction and transformation skills.
• Thoughtful and selective approach to the use of AI coding tools and ability to critically evaluate their outputs.
• Fluent in spoken and written English.
• Passionate about clean energy.
• Driven and keen to learn.
• Systematic with careful attention to detail.
• Ability to work as part of a remote international team.

Nice to have:

• Experience developing data pipelines on orchestration platforms such as Dagster (preferred), Airflow, dbt, or Prefect.
• Experience with version control software such as Git.
• Experience working on cloud platforms such as GCP (preferred), AWS, or Azure.
• Experience working with business users to translate research questions into specific data requirements.
• Other language skills.
• Previous experience within the power or clean energy sector.

• Develop new ETL scripts using Python to gather and validate data from various sources such as APIs and web scraping.
• Work with the data engineering team to deploy ETL scripts within an orchestrated data platform based on Dagster and BigQuery.
• Run, maintain, and improve existing data pipelines.
• Ensure pipelines follow best coding and data practices.
• Ensure Ember’s data and output are of the highest standard.

Applicants must be fluent in spoken and written English. The interview process consists of two stages with specific dates in July; candidates should notify if they have difficulties attending.