Data Solution Engineer

We’re a well-funded start-up that focuses on changing the way people leverage data to make decisions. We firmly believe that out-of-context dashboards are not the solution but rather the problem. We’re passionately committed to assisting individuals in taking data-driven actions!

This role will have a substantial impact on the company’s future. It will involve managing the integration process with the data warehouses of some of the world’s largest brands. This includes:

• Mapping the different data sources to connect to (based on dozens of data sources Loops connects to).
• Modelling the data in Loops’ platform, based on the business context and the customer’s KPIs.
• Building a deep understanding of Loops models and analyses to analyze them and debug problems.
• Building and defining tools to automate and improve the integration process (scripts to automated data discovery, data pipeline, validation scripts, etc)

This is a unique opportunity for individuals who are passionate about products, data, and solving large-scale problems!

1. +4 years of experience in relevant roles: Data engineer, Data analyst (must be highly technical), BI developer, fullstack, etc.
2. SQL – High proficiency.
3. Python (Pandas, Numpy)
4. Excellent interpersonal and communication skills.
5. Product experience and/or product mindset – an advantage.
6. Ability to work as part of an agile and quickly growing team.
7. Proficiency in English.
8. B.S in one of the following: Computer Science, Engineering, Mathematics or a related field.
9. Passion and motivation are more important than experience/degrees (or anything else)

• This is not a fully remote position.