This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
Strong proficiency with reporting tools, software platforms, and related analytical applications
Demonstrated experience as a BI Developer, delivering interactive reports, dashboards, visualizations, and robust data models
Advanced querying and transformation skills using SQL, Data Analysis Expressions (DAX), and Power Query (M)
Python expertise, with the ability to write clean, efficient code for data transformation, validation, and automation, leveraging libraries such as pandas, Apache Arrow (PyArrow), and Microsoft Fabric Lakehouse APIs
Hands-on experience with PySpark and Microsoft Fabric/Spark notebooks to process large-scale datasets, build transformation pipelines, and enable scalable data engineering solutions
Proven experience designing, building, and maintaining Microsoft Fabric data pipelines, Dataflows Gen2, notebooks, and Lakehouse tables
Solid understanding of Delta tables, medallion architecture, incremental refresh strategies, and performance optimization techniques
Ability to diagnose and resolve data pipeline failures, refresh issues, schema changes, and data inconsistencies across multiple data layers
Strong analytical and problem-solving skills, with the ability to translate operational and financial processes into accurate, scalable data models
Comparable experience working within cloud platforms such as Google Cloud, Amazon Web Services (AWS), or Microsoft Azure
Bachelor’s degree in computer science, information systems/technology, finance, accounting, mathematics, statistics, or a related field, plus five (5) years of relevant professional experience, including report development and technical requirements analysis
Nice to have:
Advanced hands-on experience with Microsoft Fabric
Knowledge of Kusto Query Language (KQL) for real-time intelligence, telemetry, and log analytics within Fabric
Familiarity with Azure services, including Azure Data Factory, Azure SQL, and Azure Data Lake Storage
Understanding of data security and governance principles, including role-based access control (RBAC), compliance, and data stewardship frameworks
Microsoft Fabric Analytics Engineer certification (completed or in progress)