Junior Data Engineer in London

Junior Data Engineer in London

London Full-Time 30000 - 40000 £ / year (est.) Home office (partial)
Carbonchain

At a Glance

  • Tasks: Ingest and transform customer data into actionable insights for carbon accounting.
  • Company: Join CarbonChain, a leader in climate tech tackling the carbon crisis.
  • Benefits: Competitive salary, 28 days leave, learning allowance, and private healthcare.
  • Other info: Dynamic role with opportunities for rapid growth and meaningful projects.
  • Why this job: Make a real impact on sustainability while developing your data engineering skills.
  • Qualifications: Experience with Python and SQL; passion for climate and sustainability.

The predicted salary is between 30000 - 40000 £ per year.

About CarbonChain

Want to work on the most pressing challenge of our generation? If you want to build exceptional products, execute at scale, and help build a company for the long term, we'd love to hear from you. CarbonChain helps the world’s biggest supply chains measure and reduce their carbon emissions, using verified primary data where possible, and robust defaults where it isn’t. We build software that turns messy, real-world operational and supplier information into decision-grade carbon and compliance insights, so teams can act: improve sourcing, meet regulations like CBAM, and deliver credible reporting to customers, investors, and regulators.

We’re a product-led company operating in a high-stakes domain. Data quality, auditability, reliability, and trust matter as much as speed. If you enjoy building systems that customers rely on, and shipping improvements that measurably change behaviour across a network, you’ll feel at home here.

Our Product

Our platform combines real-world emissions data with our customers' supply chain information to create actionable insights. We help sustainability teams answer critical questions: Where are the emissions hotspots in our supply chain? Which suppliers should we prioritise? What's the carbon impact of switching vendors or routes?

A major focus of what we’re building right now is supplier engagement and CBAM data management:

  • enabling installations (goods producers) to prepare, manage, and share CBAM datasets through guided product carbon accounting workflows;
  • improving our supplier database and connection management to support sharing across supply chains;
  • building ingestion pipelines that turn messy customer files into structured, provenance-tracked, insights-ready data.

Beyond CBAM, our platform supports product and corporate carbon footprinting used by some of the world’s largest commodities producers and traders, helping teams move from data collection to credible reporting and decision-making. Decarbonising the economy requires a granular, real-time view of where emissions come from and how they might be reduced. We’ve built software to automate the carbon footprinting of supply chains. Banks, traders, and manufacturers use our product to tame the complexity of international supply networks, identify the most carbon-intensive parts, and find lower-carbon alternatives.

About the Role

We're looking for a Junior Data Engineer to join the team that maintains our trades & emissions dataset and the ingestion pipeline that feeds it. This is the data at the heart of our product: every customer brings their own trade and supply chain data, in their own formats and with their own quirks, and turning it into reliable, carbon-accounted insight is what this team does. This is an early-career role with a strong emphasis on learning. You'll work on well-defined tasks with supervision — ingesting customers' data, writing SQL to investigate and validate it, and making fixes and improvements to the pipeline — while building fluency with our data, our tooling, and modern engineering practices. You'll develop deep domain expertise in supply chain and commodity trade data that very few engineers in the industry have.

What You'll Do

  • Ingest customers' trade and supply chain data under guidance: analyse, map, and transform it into our data models
  • Write SQL against our dataset to answer questions, investigate data issues, and validate that customer data behaves as expected
  • Apply validation and sanity checks, and learn to spot the usual suspects: nulls, duplicates, late-arriving data
  • Build simple ingestion and transformation steps, and make well-scoped fixes and config changes to the pipeline
  • Contribute to dashboards and internal tooling following existing patterns
  • Learn our monitoring: what a healthy pipeline looks like, how to triage alerts using runbooks, and how to escalate with useful context
  • Build domain knowledge of how trade and supply chain data maps to carbon accounting — asking questions and documenting assumptions as you go

What We're Looking For

  • Some hands-on experience with Python and SQL — professional, academic, or personal projects all count
  • A rigorous, detail-oriented approach to working with messy real-world data
  • Comfort asking questions, seeking feedback, and learning fast
  • Ownership mindset: you see your tasks through rather than handing them off
  • Strong communication skills — you'll work with customer data and alongside customer-facing teams
  • Passionate about climate and sustainability
  • Bonus: exposure to data tooling such as BigQuery, dbt, or BI tools like Metabase

What We Offer

Meaningful impact and accelerated growth. This is a rare opportunity to work on technology that directly addresses the climate crisis while shaping the future of a fast-growing company. You'll have significant influence over our technical direction and product strategy - the kind of impact that typically takes decades to achieve elsewhere. You'll tackle diverse challenges, work across the full stack of problems (technical and otherwise), and own meaningful projects from start to finish. If you want to learn quickly, take on real responsibility, and see the direct results of your work, this is the place to do it.

Competitive salary and benefits:

  • 28 days annual leave
  • £500 home office setup allowance
  • £2,000 annual learning allowance
  • Private healthcare
  • Generous parental leave policy
  • Weekly team lunches in the office
  • Office gym, and cycle to work scheme

You will need to have the right to work in the UK and be willing to work in our central London office at least 3 days a week. CarbonChain values diversity and inclusion and welcomes applications from candidates with diverse backgrounds.

If you think your skills and experience match what we’re looking for and you’d like to join the next Climate Tech industry unicorn, please get in touch!

You can find out more about interviewing at CarbonChain at https://www.carbonchain.com/careers/interview-process.

Junior Data Engineer in London employer: Carbonchain

At CarbonChain, we pride ourselves on being an exceptional employer that fosters a dynamic and innovative work culture in the heart of London. Our commitment to employee growth is evident through tailored development opportunities and a collaborative environment that encourages creativity and passion for climate tech. Join us to be part of a mission-driven team where your contributions directly impact our multi-million revenue pipeline and the future of sustainable technology.

Carbonchain

Contact Details:

Carbonchain Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Junior Data Engineer in London

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When you find a suitable opening like Junior Data Engineer at Carbonchain, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Junior Data Engineer in London

Python
SQL
Data Ingestion
Data Transformation
Data Validation
Attention to Detail
Analytical Skills

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!

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Craft a Tailored Cover Letter:For a full-time role at Carbonchain, 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 Carbonchain. 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 Carbonchain

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 Carbonchain!

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.