Climate Data Engineer - Customer Solutions

VIDA’s Climate Risk Engine delivers advanced climate risk and natural hazard analytics to governments, development partners, and private-sector organizations worldwide. These insights inform critical decisions in energy planning, infrastructure resilience, and sustainable development - from electrification planning in developing nations to climate risk assessments in mature markets.
We’re expanding our Data Solutions team to strengthen how we develop, apply, customize, and improve the Climate Risk Engine for project-specific contexts. You’ll primarily focus on implementing and tailoring existing methodologies for customer projects, with opportunities to enhance data pipelines or develop new models where needed. Over time, you’ll grow into customer-facing responsibilities within project work, while remaining focused on technical delivery rather than project management.
This position is part of our customer-facing Data Solutions team and works closely with our Technology team to develop our code-base and receiving their technical guidance to ensure robust, production-ready solutions.


What you'll do

• Collaborate with the engineering team to build, deploy, and maintain production-ready data pipelines for climate and geospatial analytics and mature our Climate Risk Engine.
• Develop, apply and customize climate risk and natural hazard methodologies for customer-specific projects using our Climate Risk Engine.
• Work with global climate datasets, weather data, and satellite imagery to support diverse applications.
• Participate in the continuous improvement of scalable data processing workflows using our stack (BigQuery, Cloud Functions, Google Earth Engine, etc.).
• Contribute to project delivery by producing high-quality analytical outputs, documentation, and insights.
• Gradually engage in customer-facing interactions within projects, providing technical input without project management responsibilities.

• Background: Degree in Climate Science, Environmental Science, Geography, or a related field, combined with professional software engineering experience. Strong statistical knowledge and previous work with climate and natural hazard data is essential.
• Technical Skills: Proficiency in Python, experience with climate or geospatial data, and familiarity with ML libraries (e.g., PyTorch, scikit-learn).
• Mindset: Engineering-oriented approach - translating scientific methodologies into production-grade software.
• AI-Forward Approach: Enthusiasm for using AI tools in methodology development and software engineering, and openness to promoting their adoption within the team.
• Customer-Facing Skills: Some experience communicating technical concepts to non-technical stakeholders or clients, with the ability to contribute effectively to project discussions and reporting.
• Experience: 2–4 years combining domain expertise and software development.
• Flexibility: Comfortable working in a dynamic, evolving environment, collaborating across multiple teams and supervisors, and adapting to shifting priorities as the business and strategy progress.
• Bonus Points:
  • Experience with GCP, geospatial tools, or climate modelling.
  • Broader software engineering skills (data engineering, backend development).

• Mission: VIDA is more than just another software company. As our work goes beyond lines of code and interfaces you’ll have the chance to create tangible impact in real lives.
• Impact & growth: It’s an exciting time to join us! Shape our success story and company culture from the ground up and see the direct influence of your work.
• Diversity: Our team's diversity is truly exceptional. With more than 15 nationalities on board already today and team members spread across the globe, you'll connect and learn from a wide range of perspectives.
• Participation in our VSOP program: At VIDA, all team members are included in our VSOP program, ensuring everyone shares in our success.
• Fully remote working & flexibility: We're strong advocates of autonomy and flexibility. We allow you to determine when and where you get your stuff done most effectively.
• Tech & tools: We understand the importance of having the right tools to empower your work and will provide you with the latest technology and tools.
• Educational & setup budget: 500€ educational budget per year that you can use for any kind of learning resource & 500€ setup budget for any equipment of your choice.
• 28 vacation days + public holidays in your country of residence.

And in addition to that you will

• have direct impact on climate risk assessment tools used globally by governments, development organizations, and the private sector.
• work in a diverse, multicultural, and collaborative environment, where your contributions will help refine how our Climate Risk Engine is applied and improved as the business evolves.
• become part of a diverse, multicultural team where your contributions will influence how our Climate Risk Engine is applied and improved, and where you’ll collaborate across functions and geographies as the business evolves.

If you're passionate about leveraging the power of technology to drive meaningful social impact and joining a mission-driven environment, we would love to hear from you. Submit your application via email to jobs@vida.place or apply directly via the job advertisement.

When applying, please state your expected salary in gross per a year. 

Learn more about VIDA and our current projects at vida.place or on LinkedIn.

We're looking forward to receiving your application! 
In case your experience doesn’t fit all of the criteria, make sure to get in touch anyways!

VIDA is a software to evaluate the climate and ESG risks and manage the impact of infrastructure anywhere in the world. It is used by investors, governments and companies. We work for a world where every single dollar that is spent on achieving sustainability goals is properly accounted for. 

We are a very diverse team promoting inclusivity. We are spread across Europe and Africa, counting more than 15 different nationalities. 

www.vida.place