OBS! Ansökningsperioden för denna annonsen har
passerat.
Arbetsbeskrivning
Our Mission
The single factor that has the highest impact on the prosperity and well-being of humankind is education. Still, technology has not yet delivered on any of its promises for better learning. At Kognity, we have set out to change this. Our Vision is to radically improve learning for the world’s 1.5 billion school students.
Kognity is a cloud-based platform that redefines learning by increasing student engagement and allowing more progressive teaching methods. It is used in over 1100+ schools across 110+ countries and provides curriculum-aligned textbooks for IBDP and Cambridge IGCSE™️ curricula. However, this is just the beginning of our journey. Recently, we received $20M in funding for expansion into the US state curriculum market.
We are looking for global top talent to help us build a significant impact for the world’s young people.
Responsibilities
Design, implement, and maintain the backbone of our analytics capabilities, building on a foundation of a simple ELT pipeline and data lake (BigQuery).
Explore new sources, set the right fundamentals of pipeline speed and monitoring, and be an evangelist of how to build with data in mind, with a focus on usability, security, and reliability.
Enable creation of reports, analysis and integrations from data
Ensure that data technologies and practices are secure, auditable, access controlled, and accurate.
Evangelise & train on best practices in working with data across the organisation
Maintain and improve the data tools we use and the data we track.
Requirements
ELT or ETL experience
Python coding experience
Solid skills in navigating your way around SQL databases.
Experience with a data warehouse solution (Redshift, BigQuery, Hadoop or similar)
Benefits
Culture - 70 people, 20 nationalities, a shared passion for improving learning for the world’s school children
A yearly budget to spend on health related services - gym memberships, exercise classes etc
30 days of paid vacation every year
MacBook, mobile phone, home office days and other nice-to-haves