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Responsibilities Collaborate with Finance analysts and subject matter experts to implement new data interfaces to feed models or finance systems.
Plan, develop, test and support ETL/ELT processes including associated data storage structures.
Perform processing reviews, analyze execution plans, refactor inefficient processes, and review bottlenecks.
Build and execute test cases to ensure data integrity, accuracy, and consistency.
Member of on-duty rotations team to ensure production continuity.
Skills and Experience Excellent knowledge of Data warehouse / Data lake house design best practices (star schemas, data vault, data mesh, data products).
Excellent knowledge of SQL Server language and storage engine behavior; execution plan review is your natural query performance tool.
Good knowledge of SSAS Tabular and multidimensional platform and languages (DAX, MDX) or strong appetite to become a reference.
Experience in designing and developing Power BI datasets and reports.
Good knowledge of PowerShell.
Good knowledge of banking data, positions, and transactions typologies.
Knowledge of T24 banking system is a plus.
Experience with Python, Spark, Kafka, .NET is a plus.
Azure Data Engineer certification or commitment to become certified during the first year.
Willingness to learn a wider range of technologies, including legacy ones.
Personal Skills 5+ years of experience in similar roles.
Passionate about data processing and technology in general.
Enjoy reading and learning about technology for personal interest.
Curious and focused; you always ensure to get your questions addressed, and you enjoy novelty.
Fluent in English and French (spoken and written).
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