At a Glance
- Tasks: Build and run Python pipelines to collect and manage data for carbon markets.
- Company: Join CarbonAI, a forward-thinking company making carbon markets transparent.
- Benefits: Up to £60,000 salary, remote work, and opportunities for growth.
- Other info: Collaborative team culture with no micromanagement and room for innovation.
- Why this job: Make a real impact in climate change while owning your projects.
- Qualifications: 3-5 years in data engineering, strong Python and SQL skills.
The predicted salary is between 54000 - 60000 £ per year.
Location: London, UK (primarily remote, with office visits 1–2 times a month)
Type: Full-time · Salary: Up to £60,000
Carbon markets only work if people can trust the data behind them. At CarbonAI we bring together project data, pricing, ratings and thousands of registry and methodology documents so buyers, investors and developers can make better decisions about carbon credits.
We're looking for a Data Engineer to own the pipelines that power this. You'll pull data from APIs, files and the web, turn complex documents into material our AI can use, and decide how it all gets built. We hire smart, careful people who communicate well, and then we give them real ownership.
What you'll do:
- Build and run Python pipelines that collect data from APIs, CSVs and other structured sources
- Scrape registry and market websites where there's no API, and make those scrapers reliable
- Extract text, tables and metadata from PDFs and other documents, including messy ones
- Design how documents are chunked for RAG so our AI finds the right passage every time
- Keep data clean, tested and monitored so problems are caught early
- Deploy and run your pipelines in the cloud
- Work with AI as an everyday coding and work partner, while staying fully in charge of what you ship
- Work closely with product and AI colleagues, and help shape what we build next
About you:
We care more about how you think and work than about ticking every box below. You'll do well here if you:
- Learn quickly and enjoy figuring out unfamiliar data and tricky problems
- Take care over the details, finish what you start, and leave things well documented
- Explain your thinking clearly in writing and in conversation, and raise issues early
- Like owning a problem from start to finish, without waiting to be told each step
You'll need:
- 3-5 years' experience in data engineering or a similar role
- Strong, production-quality Python
- Good SQL and relational database skills
- AI tools built into how you work every day (e.g. coding assistants, agents), plus a commitment to understanding the code they produce and how the pieces fit together
- Experience pulling data from REST APIs and files such as CSV, Excel and JSON
- Web scraping experience (e.g. BeautifulSoup, Scrapy or Playwright)
- Experience extracting content from PDFs and other documents
- Hands-on experience chunking documents for RAG
- Infrastructure-as-Code
- Embeddings and vector databases (RAG)
- Measuring and improving retrieval quality
- An interest in climate or carbon markets (no prior knowledge needed)
What we offer:
- Real ownership of the systems you build, and a say in tools and architecture
- A small team that trusts people, with clear goals and no micromanagement
- Work that makes carbon markets more transparent and more trustworthy
- Room to grow into AI engineering or wider platform work
- Primarily remote working, with occasional visits to our London office
Data Engineer in London employer: CARBONAI LIMITED
At CARBONAI LIMITED, we pride ourselves on being an innovative employer that champions sustainability and cutting-edge technology. Our collaborative work culture fosters creativity and growth, providing employees with ample opportunities to develop their skills in data science and AI while making a meaningful impact on the environment. Located remotely, we offer flexibility and a supportive environment that values each team member's contributions towards a greener future.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like CARBONAI LIMITED!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Engineer at CARBONAI LIMITED.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like CARBONAI LIMITED.
✨Apply Directly through Our Website
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We think you need these skills to ace Data Engineer in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at CARBONAI LIMITED, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at CARBONAI LIMITED. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at CARBONAI LIMITED
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at CARBONAI LIMITED!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
