Senior Developer in Marketing Data Engineering - Personal Data Management and Valorisation

A career as a Senior Developer in Marketing Data Engineering in the Personal Data Management and Valorisation team at National Bank means contributing directly to the implementation, support and evolution of the Marketing data ecosystem. This position allows you to have a concrete impact thanks to your expertise in data engineering and data valorisation and stand out for your ability to implement best practises in data flow design and development.

Your job

• Design, consolidate, develop and maintain multiple data ingestion flows to different data environments, in collaboration with the teams responsible for technology solutions
• Define and document the data models required for ingestions
• Help integrate external technological solutions with the Bank's ecosystem and act as a point of contact with partner teams
• Optimize data processing to improve the performance, reliability and efficiency of solutions.
• Maintain and develop the marketing data ecosystem and the integrations implemented.
• Support the data owner in applying best practises and managing their data optimally.
• Implement control, governance and data quality mechanisms to ensure data integrity.

Your team

In the Personal Banking Data Management and Valorisation sector, you are part of a team of 12 colleagues and report to the Senior Manager – Data Foundation. Our team stands out for its expertise, collaboration and delivery quality. Our goal is to offer you maximum flexibility to promote your quality of life. This includes a hybrid work environment and a flexible, adaptable schedule.

The Bank values continuous development and internal mobility. Our personalised training programs, based on on on-the-job learning, help you master your profession and develop new fields of expertise. Tools such as the Data Academy, Language Training, the Harvard Learning Centre and coaching and mentoring support are available to you at any time

Prerequisites

• Hold a relevant degree in data engineering and 5 to 10 years of experience in data development, data engineering or data modelling
• Advanced knowledge of SQL and experience with distributed systems and cloud platforms (AWS, Azure, snowflake)
• Experience in data flow design and development and data valorisation
• Experience in DataVault modelling