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)
About the company
