Job Description

As a NZDPU Team Member, you will play a crucial role in developing and improving technical tools, techniques, and workflows for data management within our backend infrastructure. This infrastructure is essential for integrating multi-source data into a unified system that drives our platform. You will also oversee the technical requirements and accountability of our external team, which is responsible for enhancing and maintaining the overall platform. Collaboration with data, product, and technical teams will be necessary to design systems and integrations that promote the alignment of data and domain expertise for scalable technical implementation.

Must Haves
Extensive experience working with complex data models: + This includes handling 1000s of fields across multiple sources that evolve and expand over time. + You should be comfortable managing and manipulating large, intricate datasets and adapting to changes in data structures.
Proven track record of shipping solutions through internal and external teams: + Your solutions should be accessible to the public and a wide range of users, demonstrating your ability to deliver impactful products that meet the needs of diverse audiences. Ability to translate industry and team knowledge into a performant data system architecture: + This architecture should be designed for web and API-driven applications, validation frameworks, and data transparency systems. + You should be able to bridge the gap between domain expertise and technical implementation.
Hands-on experience building and deploying Python-based solutions to cloud-based infrastructure: + You should have a strong understanding of Python and experience deploying solutions to cloud environments, showcasing your ability to develop and implement scalable, cloud-native applications. Technical leadership in system design and architecture: + You should have demonstrated experience in leading the technical design and architecture of complex systems, and the software development lifecycle. Nice to haveExperience with corporate emissions and financial data: Familiarity with these types of data would be beneficial, as it aligns with the team's focus on emissions-related data. * Experience working with Google Cloud Platform: Experience with GCP would be advantageous, as it is where we deploy and maintain our infrastructure.