About Climatiq We are a fast-growing climate tech startup on a mission to drive climate action through data and insight. Our team consists of entrepreneurs, technologists, and scientists who have come from backgrounds such as Google, MIT, and other leading companies and academic institutions. Together, we are building a tech platform that empowers organizations to take action in tackling the climate crisis. Our powerful carbon calculation engine helps businesses embed emission metrics into any software they already use to accurately calculate and continuously monitor their carbon footprint and drive better decisions. Our platform is used by thousands of sustainability leaders worldwide, and we are proud to be backed by renowned international VCs and investors in the climate-tech and software sector. We are also a certified B Corp, highlighting our commitment to balancing purpose and profit. We have recently been recognized for our work, having been selected as the winner of the Enterprise and Smart Data category at the prestigious SXSW Interactive Festival. As a remote-first company, our team is spread out across Berlin and other parts of Europe, with a strong focus on collaboration and innovation. This is an exciting time to join Climatiq. Be part of a real, technology-driven endeavor from the beginning. Work with an amazing team and help build something meaningful together with our community. Job Description We are looking for a Data Engineer with a focus on database design and maintenance, working across our Science and Data and Engineering teams, owning our internal data management and collaboration platform. We are looking for a self-driven engineer who brings fresh ideas and is able to maintain our database autonomously in a collaborative environment. We use the latest technologies, like Python and Pandas. We prioritise high scalability and development ergonomics and collaborate using GitHub. Responsibilities:

• Design, maintain, and optimise existing data workflows, including data ingress, normalisation, QA and collaboration.
• Automate data collection from different source format such as pdfs, automating ingress of new data points and their updates
• Conceptualize, research and implement novel approaches to modeling multilingual semi-structured and hierarchical data, in the context of GHG data

• 2+ years of experience in data engineering, architecture, modeling, data pipelines, data extraction and classification and processing
• Advanced knowledge of python (pandas, numpy libraries)
• Practical experience with designing, building and maintaining large databases
• Comfortable with GitHub-based collaborative workflows
• Attention to detail, ability to work in cross-functional teams and collaborate
• Bachelor's degree in Computer Science, Data Engineering, a related technical field, or equivalent practical experience
• Strong communication skills in English

• Genuine interest in climate technology, sustainability, and a carbon-neutral economy
• Proactive, passionate and curious about solving big and complex problems

• Location: Berlin or Remote within +/- 2 hours of CET timezone
• Starting date: as soon as possible
• Hours: full-time, flexible working hours
• Competitive salary and benefits, including employee stock options