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Senior Data Engineer

  • Montreal, QC, Canada

Full-time

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Job details

Job type
Full-time
Apply by
Experience
A bachelor’s or master’s degree in a related field and 3 to 5 years of relevant experience
Posting language
English
Posted

Original job description


A career as a Senior Developer in Data Engineering on the Financial crime and regulatory projects team at National Bank means serving as a Data Analytics Specialist. This position allows you to have a positive impact on our organisation thanks to your expertise in engineering, design, modelling, integration and data governance. You will help modernise our platforms, enhance our information assets and advance the sector's analytical and operational capabilities.
 
Your job


  • Define and develop solutions and data models that meet the sector's analytical needs while ensuring a thorough understanding of data models, structures, relationships and meaning.

  • Design, develop and maintain robust and high-performance data pipelines, in batch or real-time processing with Kafka, in cloud environments.

  • Integrate and automate data between systems and business applications, then optimise processing with SQL and Python.

  • Implement governance, control, quality and security mechanisms to ensure data integrity and confidentiality.

  • Influence the evolution of data strategy, platforms and infrastructures, while promoting the adoption of recognised engineering and automation practises.



 
Your team
Within the Financial crime and regulatory projects sector, you will be part of the FinCrim Data Warehouse team and report to the Senior Manager – Technology Delivery – Data and Analytics. The team stands out for its expertise in data engineering and its commitment to developing reliable, high-performance and scalable solutions that support the Bank's financial crime activities and regulatory initiatives.
 
You will work in a stimulating technological environment where collaboration and continuous improvement help transform business needs into concrete data solutions. 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


  • A bachelor’s or master’s degree in a related field and 3 to 5 years of relevant experience

  • Expertise in data engineering, particularly data design and modelling using data vault and dimensional approaches.


  • Strong analytical skills and a solid understanding of data models and data, including the ability to explore data, understand relationships, and assess data consistency and quality.

  • Experience in designing, developing and operating large-scale data solutions in distributed and cloud environments.

  • Proficient SQL and Python as well as data processing optimisation practises.


  • Knowledge of Kafka and hands-on experience developing or operating real-time data processing solutions.

  • Knowledge of Amazon Web Services, Snowflake, Terraform and collaborative development tools, as well as DevOps practises, automation, automated testing and continuous integration and deployment pipelines, an asset.

  • Understand issues related to data quality, governance, security and valuation.



 

Languages: French, English
Reason to require this language: you will need to discuss frequently with our service providers or partners who speak a language other than French.
Required skills: Big Data, Data Architecture, Data Cleansing, Data Conversion, Data Modeling, Data Pipelines, Data Structures, Data Warehousing, Database Design, Diversity & Inclusion, Information Analysis, Initiative, Learning Agility, 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 and develop data solutions and models, and build, operate, and optimize high-performance batch and real-time pipelines using technologies such as Kafka, SQL, and Python. Integrate data across systems and implement governance, quality, control, and security measures while contributing to the evolution of data platforms and engineering practices.

Requirements

A bachelor’s or master’s degree in a related field and 3 to 5 years of relevant experience are required, along with expertise in data engineering, data modeling, distributed and cloud data solutions, SQL, and Python. Kafka experience and knowledge of data quality, governance, security, and valuation are expected; AWS, Snowflake, Terraform, DevOps, automation, testing, and CI/CD experience are assets.

Skills

  • Big Data
  • Data Architecture
  • Data Cleansing
  • Data Conversion
  • Data Modeling
  • Data Pipelines
  • Data Structures
  • Data Warehousing
  • Database Design
  • Information Analysis
  • SQL
  • Python
  • Kafka
  • Data Governance
  • Data Quality
  • Teamwork

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 Programs
  • Coaching and Mentoring

Visa sponsorship

Not detected in the job text

Categories

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

Keywords

  • Data Engineering
  • Data Analytics
  • Data Modeling
  • Data Vault
  • Dimensional Modeling
  • Data Pipelines
  • Batch Processing
  • Real-Time Processing
  • Kafka
  • SQL
  • Python
  • Cloud Computing
  • Distributed Systems
  • Amazon Web Services
  • Snowflake
  • Terraform
  • Data Warehousing
  • Data Integration
  • Data Governance
  • Data Quality
  • Data Security
  • DevOps
  • Automation
  • Automated Testing
  • Continuous Integration
  • Continuous Deployment
  • Financial Crime
  • Regulatory Projects
  • Data Architecture
  • Database Design

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