Data Analytics Engineer, Osprey Charging Network

• You have experience and a strong passion for data modelling & data transformation projects
• You enjoy taking responsibility for designing and architecting solutions which deliver real business value
• Jinja SQL best practice and data modelling in dbt is second nature to you
• You have worked extensively with dbt cli and codebase management through gitlab or github
• You have experience onboarding data from APIs using python or other preferred languages
• You are driven by desire to design and build your own assets, not just inheriting legacy code
• You are comfortable with general data warehousing concepts, with a broad view on upstream and downstream dependencies of your work
• You strive for improvement in your work and that of others, proactively identifying issues and opportunities
• You have experience building robust and reliable data sets requiring a high level of control

Desirable

• Design and build robust data models that support internal operations management, market-driven analysis as well as financial and regulatory use case
• Take big picture problems and lots of clean supporting data and use your skills as an architect to design solutions using best practise data modelling techniques and creativity
• Facilitate the transfer of your modelling logic to downstream recipients such as analysts/technical users
• Focus on optimisation of our modelling pipeline, spotting opportunities to reduce complexity and cost
• Onboarding new sources of data through a mixture of Python and native connectors like Fivetran and being the subject matter expert on their schemas/contents
• Help define and manage best practices for our Data Warehouse. This may include payload design of source data, logical data modelling, implementation, metadata, and testing standards
• Ensure our structured data is modelled with robustness within our pipeline using Fivetran, Snowflake, dbt and Cube Cloud semantic layer

• 1. Apply via Otta
• 2. Call with HR
• 3. Interview with Team