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- Tasks: Build and maintain scalable data pipelines to tackle global conservation challenges.
- Company: Join an early-stage ClimateTech venture with a mission for positive impact.
- Benefits: Up to £70,000 salary, equity options, flexible hybrid work, and real autonomy.
- Why this job: Make a tangible difference while shaping a high-impact product from the ground up.
- Qualifications: 3+ years in data engineering, strong Python and SQL skills, cloud infrastructure experience.
- Other info: Collaborative culture that values diverse perspectives and creative problem-solving.
The predicted salary is between 43200 - 84000 £ per year.
We’ve partnered exclusively with an early-stage ClimateTech venture tackling one of the world’s most urgent conservation challenges. This is a true greenfield opportunity where your engineering will have tangible, global impact.
In this Data Engineer role, you will contribute across the full data stack from ingestion through to analytics, building and maintaining scalable pipelines across API, streaming, and batch processes. You will support the management of cloud infrastructure on AWS with a DevOps mindset, including CI/CD, infrastructure as code, monitoring, and scaling. You’ll help shape how data powers core products, working across ingestion, transformation, and machine learning initiatives.
As a Data Engineer working closely with engineering and product teams, you will deliver data solutions for analytics, internal tools, and AI models, while establishing and maintaining best practices for data governance, security, and reliability.
What You’ll Bring:
- 3+ years Data Engineer experience building and maintaining data pipelines and cloud-based systems.
- Practical experience using Fivetran or similar modern data integration tools.
- Strong working knowledge of Python (including PySpark), SQL, and dbt or an equivalent transformation framework.
- A solid grounding in cloud infrastructure, including AWS, CI/CD workflows, and general DevOps principles.
- Proven experience working with data warehouses such as PostgreSQL or comparable technologies.
- Exposure to event streaming tools (Kafka, Kinesis, or Pub/Sub) is an added advantage.
- A track record of developing scalable, efficient data systems in dynamic, fast-paced settings.
What’s on Offer:
- Genuine equity with meaningful upside as the company grows.
- Real autonomy to make decisions and shape a high-impact product from the ground up.
- Flexible hybrid setup - typically 1-2 days a week in the central London office, with adaptable hours to suit your routine.
- A collaborative, inclusive culture that values diverse perspectives and creative problem-solving.
- The opportunity to build and scale a purpose-driven data platform from early MVP through global adoption.
If you’re passionate about applying data engineering to solve global problems for future generations, this is your chance to join an early-stage team with purpose and global ambition.
Data Engineer | ClimateTech - Greenfield | Up to 70,000 + Equity in London employer: Futureheads Recruitment | B Corp™
Contact Detail:
Futureheads Recruitment | B Corp™ Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer | ClimateTech - Greenfield | Up to 70,000 + Equity in London
✨Tip Number 1
Network like a pro! Reach out to people in the ClimateTech space on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those involving AWS and data pipelines. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the company’s mission. We recommend practising common data engineering questions and being ready to discuss how your experience aligns with their goals.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about joining our mission to tackle global challenges.
We think you need these skills to ace Data Engineer | ClimateTech - Greenfield | Up to 70,000 + Equity in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Data Engineer role. Highlight your experience with data pipelines, cloud systems, and any relevant tools like Fivetran or AWS. We want to see how your skills align with our mission in ClimateTech!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data engineering and how it can impact global conservation efforts. Let us know why you’re excited about this greenfield opportunity and how you can contribute to our team.
Showcase Relevant Projects: If you've worked on projects that involved building scalable data systems or using event streaming tools, make sure to mention them! We love seeing real-world applications of your skills, so don’t hold back on the details.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. Plus, it’s super easy!
How to prepare for a job interview at Futureheads Recruitment | B Corp™
✨Know Your Data Stack
Make sure you’re well-versed in the full data stack, from ingestion to analytics. Brush up on your experience with tools like Fivetran, Python, and SQL, as these will likely come up during the interview.
✨Showcase Your Cloud Skills
Since this role involves managing cloud infrastructure on AWS, be prepared to discuss your experience with CI/CD workflows and DevOps principles. Highlight any projects where you've implemented these practices.
✨Demonstrate Problem-Solving Abilities
This position is all about shaping a high-impact product. Be ready to share examples of how you've tackled challenges in previous roles, especially in fast-paced environments. Use the STAR method to structure your answers.
✨Cultural Fit Matters
The company values collaboration and diverse perspectives, so show your enthusiasm for working in a team. Share experiences that highlight your ability to work inclusively and creatively solve problems together.