At a Glance
- Tasks: Use your coding skills to gather and curate data for the clean energy transition.
- Company: Join Ember, a not-for-profit think tank dedicated to accelerating clean energy with data.
- Benefits: Enjoy a competitive salary, flexible working, and a nine-day fortnight with every other Friday off.
- Other info: Remote-first organisation with diverse talent from over 15 countries.
- Why this job: Make a real impact on global electricity generation while learning from passionate experts.
- Qualifications: Experience in Python and SQL, with a passion for clean energy and data.
The predicted salary is between 36587 - 44903 £ per year.
Use your coding and data skills to work on the most important challenge of our time: shifting the world to clean energy.
The role involves working with Ember, which publishes the best-in-class dataset on global electricity generation. 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.
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 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.
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.
Benefits:- Salary: £36,587 - £44,903. Salaries are adjusted based on local cost of living, with country-specific salary ranges shared at interview stage. In all cases, salaries will not be below 75% of the advertised range.
- Contract: Full time (but only working 9 days every fortnight with no reduction in pay), permanent subject to a 3 month probationary period. For employees based outside of the UK, a local payroll contract is available, dependent on the country.
- Location: Ember is a remote-first organisation, with talents of diverse backgrounds from 15+ countries over the world.
- Further benefits: We offer a competitive benefits package, including:
- We operate a nine-day fortnight meaning our full-time staff are given every other Friday off work with no reduction in pay.
- 25 days holiday, plus UK bank holidays (unless local statutory minimums are higher) and for each year that you're part of the team at Ember you'll receive an additional day of holiday, up to a maximum of 5 additional days.
- Generous paid maternity and paternity leave.
- Flexible working conditions, including the opportunity for part-time work and home working.
- Access to a local working space can also be arranged for employees.
- Free annual eye tests.
- Access to a counselling service.
- Funding and allocated time for your training and development.
- Paid volunteer day.
- Four paid days off to enable low carbon travel.
- Time off to donate blood.
Data Engineer in London employer: Ember
Ember is an exceptional employer, offering a unique opportunity to contribute to the clean energy transition while working within a passionate and knowledgeable team. With a remote-first culture that embraces diversity from over 15 countries, employees enjoy a nine-day fortnight, generous holiday allowances, and flexible working conditions, all aimed at fostering personal and professional growth in a meaningful field.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Ember on LinkedIn. A friendly chat can give us insider info about the company culture and maybe even a referral!
✨Tip Number 2
Prepare for those interviews! Research Ember’s projects and think about how your skills in Python and SQL can contribute to their mission. We want to see your passion for clean energy shine through!
✨Tip Number 3
Show off your coding chops! If you have a GitHub or portfolio, make sure to share it. We love seeing real examples of your work, especially anything related to data pipelines or ETL scripts.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re all about making the process as smooth as possible for you.
We think you need these skills to ace Data Engineer in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Data Engineer role. Highlight your coding skills, especially in Python and SQL, and any relevant experience you have with data pipelines or clean energy projects. We want to see how your background aligns with our mission!
Show Your Passion:Let us know why you're excited about clean energy! Share any personal projects or experiences that demonstrate your commitment to sustainability. This will help us see your enthusiasm for the role and our mission at Ember.
Be Clear and Concise:When writing your application, keep it straightforward and to the point. Use clear language to describe your skills and experiences. We appreciate a well-structured application that makes it easy for us to see your qualifications.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it helps us keep everything organised during the recruitment process.
How to prepare for a job interview at Ember
✨Know Your Data Tools
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss your experience with ETL processes and how you've used these tools in past projects. This will show that you're not just familiar with the tech, but that you can apply it effectively.
✨Show Your Passion for Clean Energy
Ember is all about the clean energy transition, so make sure to express your enthusiasm for this cause. Share any relevant experiences or projects that highlight your commitment to sustainability and how you see data playing a role in this important challenge.
✨Prepare for Technical Questions
Expect some technical questions related to data pipelines and coding practices. Review best practices in data engineering and be prepared to explain your thought process when developing scripts or solving data-related problems. This will demonstrate your systematic approach and attention to detail.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team dynamics, the specific challenges they face in data curation, or how they measure success in their projects. This shows that you're genuinely interested in the role and eager to contribute to the team.