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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** Ember - **Location:** Edinburgh, UK (Remote available) - **Salary:** £36,587.0 - £44,903.0 - **Contract:** Temporary to permanent - **Skills:** Application Programming Interfaces (APIs), Airflow, Amazon Web Services, Microsoft Azure, BigQuery, Databases, Information Engineering, Data Governance, Web Scraping, Extract Transform Load (ETL), Data Mining, Ember.Js, Python (Programming Language), SQL Databases, Git, Kubernetes, Software Coding, Software Version Control, Data Pipelines - **Published:** June 7, 2026 - **Apply:** https://uk.indeed.com/viewjob?jk=e6d17c7aa4d87936 ## About the Role Do you have experience in SQL?, Must have * 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 * A thoughtful and selective approach to the use of AI coding tools and the 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 an orchestration platform 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 turn research questions into specific data requirements, and developing to those requirements * Other language skills * Previous experience within the power sector or clean energy sector We are an equal opportunities employer committed to diversity and treating all employees with dignity and respect regardless of background. ## Description 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 https://ember-energy.org/ and 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., * 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 existing data pipelines * Help ensure that our pipelines are written using best coding and data practices * Help ensure Ember's data and output are of the highest standard ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [Making Data Warehouses fast. 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