Role Overview
The organization is deploying several strategic data use cases on its Azure Databricks platform as part of its 2026 roadmap. To strengthen the Data & Analytics team, they are seeking an experienced profile to contribute quickly to the production of these use cases.
What You Will Do
Design, develop, and optimize data pipelines in Azure Databricks and Azure Data Factory to feed the use cases. Industrialize models and calculations to run reliably in production, including scheduling, monitoring, and data quality checks.
Why It Might Be a Fit
The role requires strong experience with Azure Databricks, Spark/PySpark, and Power BI reports, as well as knowledge of statistics and machine learning. The organization offers an enjoyable work environment, career development, and an attractive salary with extra-legal benefits.
Requirements
- Proficiency with Azure Databricks and Azure services: Data Factory, Azure Storage, Key Vault, and Azure DevOps.
- Strong experience with Spark/PySpark and Delta Lake / Lakehouse architectures.
- Strong skills in SQL and Python, including pandas and scikit-learn.
- Strong experience building Power BI reports, including semantic/data modelling, DAX, visual design, performance optimisation, and deployment best practices.
- Knowledge of statistics and machine learning, in particular anomaly detection techniques such as statistical thresholds and Isolation Forest.
- Ability to read, understand, and take over existing code and models developed by others.
Benefits
- Attractive salary
- Extra-legal benefits
- Company car
- Career development with a budget for extra education/certification
To apply for this job please visit www.careers-page.com.
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