Experienced Fullstack Engineer
Engineering & Product – Engineering /
We are looking for a Senior Fullstack Engineer to join our Engineering team.
💡 What We Do
We are a B2B Big Data and Business Intelligence software-as-a-service company operating in the new e-commerce reality, Marketplaces.
At DataHawk, our mission is to help brands and retailers thrive on Amazon and other Marketplaces with our Search Engine Marketing, Market Intelligence, and Business Analytics software that assists them in growing their sales and improving their margins.
Every day, our technology collects and analyzes trillions of data points on products, search queries, brands, sellers, sales, and advertising efforts. This trove of uniquely blended data can be leveraged to give our clients unparalleled business insights.
🌠Product & Tech Approach
To give you a glimpse about how we approach product and tech, think of the following: data -a lot of it, team spirit, scalability, smart processes, automation, clear roadmap.
Here is a live demo of our platform.
Our current stack includes technologies and tools such as .NET Core, Angular, Azure Services, SQL Server, Spark, Snowflake, Python, Github, Asana, Notion and many more.
#1 Perk: Join a team of people willing to help, encourage and motivate one another. You'll be part of a group of smart and ambitious people that have a true passion for what they do and a heart for the people they work with. A team of builders, pioneers, warriors (when needed), and altruistic (always) where you'll feel good in no time.
#2: We take care of our coworkers: most premium Alan's health coverage, Gymlib Premium Membership, and Swile.
#3: An office where you'll want to walk in sleepers. It's comfy, warm, and welcoming. Located in the heart of Paris, you'll find a friendly and vast open space with areas to relax and a pool table 🎱. Also included: a dedicated gym for DataHawk, lockers, and bike garage.
Headquarters Location: Paris, France (75011) - Rue de Nice
Subway: Charonne (9), Nation (1,2,6, RER A), Alexandre Dumas (2)
#4: Participate in building a cutting-edge Bigdata platform, maintained with modern and up-to-date tools/stack and fueled with trillions of data points collected on a daily basis worldwide.