Finance Data Engineer

Main 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, analyse execution plans, re-factor inefficient processing’s, 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 Datawarehouse / Datalakehouse designs best practices (star schemas, data vault, data mesh, data products)


• Excellent knowledge of SQL Server language and storage engine behaviour, 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 PowerBi 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 1st year.


• Willingness to learn a wider range of technologies, including legacy one.

Personal Skills

• 5+ years of experience in similar roles


• Passionate about data processing and technology in general


• Enjoy reading and learning about technology for your personal interest.


• Curious and focused, you always ensure to get your questions addressed, you enjoy novelty


• Fluent English and French (spoken and written)