Data Engineer

About Carbonfuture 

Carbonfuture is the Trust Infrastructure for durable carbon removal. Today, the Trust Infrastructure consists of two products that seamlessly connect the entire carbon removal lifecycle: Carbonfuture MRV+, the most comprehensive MRV solution for durable CDR, and Carbonfuture Marketplace, the leading marketplace for durable CDR. At Carbonfuture, we build trust throughout the carbon removal journey with our rigorous, data-driven approach, ensuring unmatched quality and reliability of carbon removal. We empower suppliers by providing the essential project support and finance needed to transform their carbon removal projects into fully certified carbon credits. For corporate buyers, we offer access to portfolios of carbon removal credits adhering to the highest quality standards and provide visibility at each step of the carbon removal lifecycle via data-driven transparency enabled by Carbonfuture MRV+. We work with some of the world's most ambitious climate leaders such as Microsoft, Swiss Re, and the World Economic Forum First Movers Coalition.

Your role & responsibilities:

As a Data Engineer at Carbonfuture, you will play a key role in shaping our data-driven decision-making and optimizing carbon removal initiatives. Your expertise will contribute to expanding our data capabilities for internal decision-making, supplier support, and market insights. 

What you'll do:

• Build tools and dashboards that provide actionable insights for internal teams, suppliers, and buyers to optimize carbon removal efforts and business decisions.
• Expand and maintain our data warehouse by integrating internal and external data sources, including HubSpot, our MRV+ product, third-party registries, and marketplaces.
• Ensure data accuracy, integrity, and health by implementing necessary transformations and monitoring data quality.
• Optimize product reporting and database performance to improve efficiency and scalability.
• Develop a roadmap for expanding our data infrastructure, including support for large-scale, machine-learning-assisted analytics.
• Train and support internal users in leveraging data visualization tools effectively.

What you bring to the table:

• Strong proficiency in SQL and Python.
• Experience with Power BI and dbt.
• Familiarity with the Microsoft Azure platform is a plus.
• A creative and analytical mindset with the ability to design and implement a scalable data strategy.
• Strong conceptual thinking and organizational skills.
• Excellent command of English.
• At least three years of professional experience in data analytics or equivalent academic expertise.
• A proactive, self-motivated attitude with a passion for tackling the climate crisis.
• Ideally, a relevant university degree (e.g., science, engineering, statistics, or analytics) or equivalent qualification.

Benefits:

• A ground-breaking business with an early foothold in the carbon removal industry and the ability to have a real impact on climate change 
• Small but rapidly growing, international team with a shared mission to address climate change 
• Flexible working hours and remote work with hybrid possible if you're close to Freiburg or Zurich
• Competitive salary 
• 30 days paid leave + bank holidays 
• nilo.health (Mental Health & Wellbeing) 
• Financial support for childcare 
• Nice colleagues and a friendly, open and inclusive environment

Candidates from cultures and backgrounds underrepresented in VC-backed startups and the climate space are strongly encouraged to apply. A diverse and inclusive workplace where we learn from each other is an integral part of our culture. We actively welcome people of different backgrounds, experiences, abilities, and perspectives. We are an equal-opportunity employer. In the case of equal suitability, preference is given to structurally discriminated individuals.