Data Engineer

Overview

Superhuman offers a dynamic hybrid working model for this role. This flexible approach gives team members the best of both worlds: plenty of focus time along with in-person collaboration that helps foster trust, innovation, and a strong team culture. About Superhuman Grammarly is now part of Superhuman, the AI productivity platform on a mission to unlock the superhuman potential in everyone. The S

What you'll do

• Superhuman offers a dynamic hybrid working model for this role.
• This flexible approach gives team members the best of both worlds: plenty of focus time along with in-person collaboration that helps foster trust, innovation, and a strong team culture.
• About Superhuman Grammarly is now part of Superhuman, the AI productivity platform on a mission to unlock the superhuman potential in everyone.
• The Superhuman suite of apps and agents brings AI wherever people work, integrating with over 1 million applications and websites.
• The company’s products include Grammarly’s writing assistance, Superhuman Docs’s collaborative workspaces, Mail’s inbox management, and Go, the proactive AI assistant that understands context and delivers help automatically.
• Founded in 2009, Superhuman empowers over 40 million people, 50,000 organizations, and 3,000 educational institutions worldwide to eliminate busywork and focus on what matters.
• Learn more at superhuman.com and about our values here.
• The Opportunity To achieve our ambitious goals, we’re looking for a Data Engineer to join our Data Enablement Engineering team and help us build a world-class data platform.
• Superhuman's success depends on its ability to efficiently ingest over 60 to 70 billion daily events while using our systems to improve our product.
• This role presents a unique opportunity to experience all aspects of building complex software systems, including contributing to the strategy, defining the architecture, and developing and shipping to production.

Requirements

• Practical experience with Engineering, Product, Design, and Marketing.
• Relevant academic or project background for a Data Engineer role.
• Strong written and verbal communication in English.
• Comfortable working on-site in Hub - Berlin.

Skills