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National Bank of Canada

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Chier Developer Data Engineering

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Summary

Senior Developer on National Bank of Canada's Marketing Data Engineering team in Montréal: designing, building and maintaining data ingestion flows, data models and governance/quality controls for the bank's marketing data ecosystem. Core stack: SQL, distributed systems and cloud platforms (AWS, Azure, Snowflake) with 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.

  • 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

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

Languages: French
Required skills: Big Data, Data Cleansing, Data Modeling, Data pipeline, Data Structures, Data Warehousing, Database Design, Detail-oriented, Diversity & Inclusion, Information Analysis, Initiative, Learning Agility, Organization Skills, Resiliency, Teamwork

Your benefits

In addition to competitive compensation, upon hiring you’ll be eligible for a wide range of flexible benefits to help promote your wellbeing and that of your family such as:

  • Health and wellness program, including many options
  • Flexible group insurance
  • Generous pension plan
  • Employee Share Ownership Plan
  • Employee and family assistance program
  • Preferential banking services
  • Involvement in community initiatives
  • Telemedicine service
  • Virtual sleep clinic

We have an offer that keeps up with trends as well as your needs and those of your family.

Our dynamic work environments and cutting-edge collaboration tools foster a positive employee experience. We value employees’ ideas. Whether through

Skills

Apply

See also

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