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Chier Developer Data Engineering

  • Montreal, QC, Canada

Full-time

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Job details

Job type
Full-time
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Posting language
English
Posted

Original job description


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 our surveys or programs, regular feedback and ongoing communication are encouraged.

Making a bold move in a people-first environment
We’re a bank on a human scale that stands out for its courage, entrepreneurial culture, and passion for people. Our mission is to have a positive impact on people’s lives. Our core values of partnership, agility, and empowerment inspire us, and inclusion is central to our commitments. We aim, wherever possible, to provide a barrier-free and accessible environment to all employees.

We strive to provide accessibility measures throughout the recruitment process within the limits of our available resources. If you require accommodations, feel free to let us know during our initial conversations. We welcome all candidates! What can you bring to our team?

Join us!
More about this job

Responsibilities

Design, develop, maintain, and optimize data ingestion flows and integrations across the marketing data ecosystem, including defining and documenting data models. Support data owners and implement governance, controls, and data quality practices to ensure reliable and efficient data processing.

Requirements

A relevant degree in data engineering and 5 to 10 years of experience in data development, data engineering, or data modeling are required. Candidates should have advanced SQL knowledge, experience with distributed systems and cloud platforms such as AWS, Azure, or Snowflake, and experience designing data flows, data valorization, and Data Vault modeling.

Skills

  • Big Data
  • Data Cleansing
  • Data Modeling
  • Data Pipelines
  • Data Structures
  • Data Warehousing
  • Database Design
  • SQL
  • Distributed Systems
  • Cloud Platforms
  • AWS
  • Azure
  • Snowflake
  • Data Vault Modeling
  • Data Governance
  • Data Quality

Benefits

  • Health and Wellness Program
  • Flexible Group Insurance
  • Pension Plan
  • Employee Share Ownership Plan
  • Employee and Family Assistance Program
  • Preferential Banking Services
  • Community Initiatives
  • Telemedicine Service
  • Virtual Sleep Clinic
  • Hybrid Work Environment
  • Flexible Schedule
  • Training and Development
  • Coaching and Mentoring

Visa sponsorship

Not detected in the job text

Categories

  • Data & Analytics
  • Technology
  • Software
  • Finance & Accounting

Keywords

  • Marketing Data Engineering
  • Personal Data Management
  • Data Engineering
  • Data Ingestion
  • Data Flows
  • Data Modeling
  • Data Valorization
  • SQL
  • Distributed Systems
  • Cloud Platforms
  • AWS
  • Azure
  • Snowflake
  • Data Vault
  • Big Data
  • Data Cleansing
  • Data Pipelines
  • Data Structures
  • Data Warehousing
  • Database Design
  • Data Governance
  • Data Quality
  • Data Integrity
  • Data Processing
  • Data Integration
  • Performance Optimization
  • Banking
  • External Technology Solutions

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