Your mission
You will join the Circularity Gap Solutions team as a Data Engineer. In this role you will support Circle Economy’s renowned Circularity Gap Report (CGR®) analysis that measures the circularity performance of nations and value chains across the globe, and contribute to the development of a strong analytical evidence base that directly supports policy makers and industrial leaders in moving toward a circular economy.
You have 2-5 years work experience and some background in computer science or programming, or data science with a logical mindset, workflow and an aptitude for puzzling together information and data.
You will follow the guidance of the Data Architect and Data Lead to translate our methodological approach into structured reproducible scripts and workflows in line with industry best practice, and enable integration of data analysis methods in online tools and digital products.
Responsibilities :
Contribute to and build ETL processes in the context of projects and products
Help deploy and maintain our (AWS) infrastructure
Process and upload data according to a source list into the project data architecture
Ensure project workflows and analyses are reproducible, develop scripts to standardize processing
Support automated processing of data into required formats for analysis in line with best practices
Maintain and upgrade data publication workflows
Collect data and metadata from various sources according to data requirements forms and templates
Identify data gaps and support the team and Data Lead in filling them
Review and conduct preliminary analysis to assess completeness and relevance of data gathered
Communicate, explain and document data handling processes in line with best practices