MAËLYS is one of the fastest growing & profitable e-commerce brands in the world with a mission to disrupt the body-care market by introducing a unique combination of data, marketing and product innovation.

Its growth is attributed to the uniqueness of the products, backed by an extensive data-marketing operation.

The company has built a strong tech backbone to leverage its data, collected over the span of dozens of million of $ in online advertising spend. The data analysis and predictive modeling guide the company’s decision making and play a central role in its success, creating a unique competitive edge over the industry and other e-commerce players.

We are a team of people who want to make lasting, impactful changes, who live (and love) to see results, who innovate with passion, and who love a good sense of humor. Is our vibe your vibe?

We are seeking a highly skilled Data Engineer to join its exceptional Data Team. You will play a crucial role in building the data foundations, which play an essential part in the company's growth engine.

Your life at MAËLYS will look like…

• Developing and maintaining scalable data pipelines and analytics infrastructure
• Build the infrastructure and processes required for optimal extraction, transformation and loading of data from a wide variety of data sources, using Python, Airflow, Rivery and BigQuery.
• Full responsibility for company & data department monitoring, logging and anomalies, support the Data scientists and data analyst’s requirements and needs
• Collaborate with varied teams and departments in order to deliver useful & insightful data products
  
  

You will thrive in this role if you have…

• 4+ years of relevant experience as a Data Engineer
• Strong knowledge of SQL.
• Strong knowledge of Python.
• Experience in managing and maintaining cloud resources
• Experience with BI tools (Tableau/Power BI/Looker/Sisense or similar)
• Experience with Data Warehouses
• Experience building ETLs
• Understanding business processes and collecting user requirements
  
  

Advantages:

• Experience with Airflow
• Experience with GCP and streaming components
• Experience with Power BI