Data Engineer

Paebbl is a founder-led start up in the emerging field of climate technology and the new “carbon economy”. Our mission is to permanently sequester CO2 and repurpose it into products that the world needs. Inspired by natural CO2 mineralization, our technology accelerates this process by a factor of a million and is now ready for scale-up. We are privately financed by supportive, long-term oriented institutional and private investors, and our diverse team includes experts from technology, industrial engineering, digital innovation, waste management, finance, and academia.

Join our team at Paebbl as a Data Engineer and take a central role in developing cutting-edge digital systems essential for our innovation and growth. This position involves providing technical leadership to acquire, process, and make our data accessible to ensure that our digital platforms help us deliver market leading products consistently. You will lead significant projects to contextualise our data, and make it accessible and useful for strategic decision-making and technology development across the organization. The role is perfect for a dynamic professional with a strong background in handling a broad range of data types, especially scientific and IoT data, who is adept at navigating start-up-like environments and making autonomous decisions. As a leader, you will also drive the growth of new capabilities and provide supervision for our expanding team, shaping the future of Paebbl’s data infrastructure on our greenfield platform

• Strong proficiency in data architecture, software engineering (ideally with Python), and cloud engineering.
• Strong proficiency in data engineering, including data visualization and IoT data handling (ideally on AWS).
• Good communication and presentation skills, with the ability to articulate complex technical details to non-technical stakeholders.
• Demonstrated leadership in technical project management, agile working, and strategic decision-making.
• Experience with data science, simulation, machine learning, and handling unstructured data is highly desirable.
• Ideally 3 years experience in business or industrial settings

• Lead the iterative design and implementation of a data platform to support the needs of critical business projects.
• Develop and manage cloud-based systems to ensure scalable and efficient data processing and storage.
• Utilize advanced data engineering techniques to handle both structured and unstructured data.
• Collaborate with data scientists, modellers, platform, and software engineers to create integrated solutions that drive knowledge-driven decision making.
• Provide technical supervision for new data engineers, which is seen as a key capability in the fast-growing digital team
• Drive the adoption of best practices in data security, data quality, and data governance.