Cloud/Azure Environment Management: Continuously monitor data consumption in Azure, applying best practices for platform and consumption optimization and governance.
Databricks Solution Architecture: Manage and design interfaces for the various systems integrated with Databricks, as well as organize and structure data within the solution.
Development of New Data Products: Build new data products on Databricks, from data ingestion from source systems and development of business rules to creating documentation and building dashboards in Power BI.

Education: Bachelor's degree in Engineering, Computer Science, or related fields.
Languages: Intermediate English.
Specific Knowledge / Skills: Data lakehouse (ideally with Databricks); Power BI; Programming in Python and SQL.
Advantage: Knowledge of AI and Machine Learning.
Desired Trainings: White Belt; SDCA; PDCA; Compliance.

Data Engineer – Specialist

Key skills