03 Nov
|
National Bank of Canada
|
Montreal
03 Nov
National Bank of Canada
Montreal
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.
- 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 current 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
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
📌 Chier Developer Data Engineering (Montreal)
🏢 National Bank of Canada
📍 Montreal