Data Engineer

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