The role

Ideal profile
You must be a talented, versatile and detail-oriented Data Engineer. Ideal candidates will have a can-do attitude, a passion for the digital world and a desire to build an international career:
1 to 5 years’ professional experience in data engineering.
Experience with data lake/lakehouse architecture (Bronze/Silver/Gold model)
Experience with data lake platforms such as Azure Synapse Analytics (with Azure Data Lake Storage), Databricks, Snowflake or equivalent.
Ability to design resilient ETL/ELT pipelines across layered storage
Great experience with one or more of the following tools / languages: SQL, R, Python (Scikit Learn, Statsmodels, Jupyter Notebook, Pandas, Numpy, Matplotlib, etc.).
Knowledge of the PowerBI eco-system (PowerBI Desktop and PowerBI Service) to build, administer and distribute data visualization tools.
Good analytical and listening skills. You know how to measure and understand business issues, while also being able to think critically.
Good level of spoken and written English to communicate in an international environment
Great motivation and ability to rapidly develop skills and take on major responsibilities