Kaizo aims to actively guide employees towards achieving their goals and making an impact at their companies.
We are building a performance development platform for customer support teams that leverages gamification and AI to improve operational efficiency, elevate teams' performance and retention with actionable goals. We are a product-led, fast-growing SaaS company with a diverse team and a globally active customer base.
Kaizo's Zendesk application currently has 750+ active installs, with over 10000 active users. Our analysis pipeline processes more than 200 million events per day.
Make a massive impact on the company. We are growing fast, and over the next year, we will go much, much bigger. As a data engineer, you will have an awesome opportunity and a challenge to help us scale to thousands of clients and millions of end-users.
We are looking for a data engineer that will help us build and maintain scalable data pipelines, code intensive data processes, take machine learning models from notebooks, train them on scale, build endpoints that will serve thousands of predictions in real time.
You will also be focused on:
Building efficient processes that implement the full data science cycle
What you bring to the table:
2+ years industry experience in data engineering.
Being part of an early stage startup we sometimes need you to wear multiple hats just to keep things going, hence being a team player is a must have.
You will work with some of the best global talent to build a tool used by great companies like Booking.com, Marleyspoon, Footlocker, Soundcloud, Tripaneer or WeTransfer. You will be part of a team of diverse and passionate people with a culture that empowers great work.
We do everything to make sure you feel motivated and supported by offering:
Teamwork & fun perks when full remote work is required (weekly team games & drinks, morning coffee chats and more)