Position and missions
As a Cloud Data Warehouse Engineer, you will use an analytical, data-driven approach to support business cases.
You will work with clients and partners to design data processing systems, data pipelines and deliver insightful analytics while ensuring data integrity. You will also take part in the design and the modeling of Data Mesh and Data Warehouse solution
In addition, if you have a teaching streak, we will offer you the possibility to give trainings in our Data Academy.
What we've done:
- BRIC.BRUSSELS: Building a data platform (Snowflake, DBT, mulesoft) for the Brussels Region to improve citizens' daily life and embrace tomorrow's city challenges.
- Pharma company: Using public genetics data (Snowflake, microservices, Azure) in research for drugs development.
- Metal industry company: Building a data analytics platform centralizing manufacturing data in near real time (Azure Databricks, Azure Datafactory, Power BI)
And many more!
We challenge you to directly apply if you recognize yourself in some of the following attributes. See you soon!
Master’s or bachelor’s degree in IT, a related technical field, or equivalent practical experience.
Strong interest in data manipulation (storage, crunching, pipeline implementation)
At least 3 years’ experience as a Data Engineer
Experience with Azure, Google Cloud or AWS
Knowledge of Data Warehousing principles and modelling (Data Vault, Star-schemas, Slow Changing Dimensions, …)
Strong SQL knowledge
You are fluent in English and you master Dutch or French as well fluently
Conceptual and creative thinking
Nice to have
Knowledge at least one programming language: Java, C#, Python, Scala…
Knowledge of continuous developments / deployment concepts & technologies (GIT, Azure DevOps, Gitlab, CircleCI, ...)
Basic knowledge of scripting languages (Bash, PowerShell)
Knowledge of Unix environments
Additional talents? Strange hobby? Weird humor? Our data heroes are like you, they share respect, modesty and excellence as key values and they know how to put fun in & after work.