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- Tasks: Build and maintain scalable data pipelines to tackle global conservation challenges.
- Company: Early-stage ClimateTech venture with a mission-driven focus.
- Benefits: Competitive salary, equity options, flexible hybrid work, and autonomy in decision-making.
- Why this job: Make a real impact on the planet while shaping innovative data solutions.
- Qualifications: 3+ years in data engineering, strong Python and SQL skills, cloud infrastructure experience.
- Other info: Join a collaborative team dedicated to solving urgent global problems.
The predicted salary is between 42000 - 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 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
✨Network Like a Pro
Get out there and connect with people in the ClimateTech space! Attend meetups, webinars, or even just grab a coffee with someone in the industry. Building relationships can lead to job opportunities that aren’t even advertised.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your data pipelines, cloud projects, or any relevant work. This will give potential employers a clear view of what you can bring to the table.
✨Tailor Your Approach
When reaching out to companies, make sure to tailor your message to their specific needs. Highlight how your skills in Python, AWS, and data governance align with their goals. Personalisation shows you’re genuinely interested!
✨Apply Through Our Website
We’ve got some fantastic opportunities listed on our website, so don’t miss out! Applying directly through us not only streamlines the process but also gives you a better chance of standing out to hiring managers.
We think you need these skills to ace Data Engineer | ClimateTech - Greenfield | Up to £70,000 + Equity
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experience mentioned in the job description. Highlight your data engineering experience, especially with cloud infrastructure and data pipelines, to show us you’re the right fit for this ClimateTech role.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about ClimateTech and how your background aligns with our mission. Share specific examples of your work with data systems and how they’ve made an impact, so we can see your enthusiasm and expertise.
Showcase Relevant Projects: If you've worked on projects that involved AWS, CI/CD, or data transformation tools like dbt, make sure to include them in your application. We love seeing real-world applications of your skills, so don’t hold back on sharing your achievements!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any updates from us. 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. Have examples ready that demonstrate how you've successfully implemented these in past projects.
✨Prepare for Technical Questions
Expect technical questions related to data pipelines and cloud-based systems. Practise explaining your thought process when building scalable data solutions, and be ready to tackle hypothetical scenarios they might present.
✨Emphasise Collaboration
This role requires working closely with engineering and product teams, so highlight your teamwork skills. Share examples of how you’ve collaborated on projects, especially those that involved shaping data solutions for analytics or AI models.
