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Lead Data Engineer

  • Canada

Full-time

This opening has closed.

The original listing is kept below for reference.

Job details

Job type
Full-time
Experience
3 to 5 years of relevant experience in data engineering, data modeling, and large-scale data solution development.
Posting language
English
Posted

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Original job description

Archived listing. The details below describe a past opening.

About The Company

National Bank is a leading financial institution committed to delivering innovative banking solutions and exceptional customer service. With a rich history of serving diverse client needs, the bank emphasizes integrity, professionalism, and community engagement. Our mission is to foster financial well-being and growth for individuals, businesses, and communities through responsible banking practices and continuous technological advancement.

About The Role

As a Senior Developer in Data Engineering within the Financial Crime and Regulatory Projects team at National Bank, you will serve as a Data Analytics Specialist responsible for designing, developing, and maintaining advanced data solutions. Your expertise will play a crucial role in modernizing our data platforms, enhancing data assets, and supporting the bank's analytical and operational capabilities. You will work on complex data models, build high-performance data pipelines, and implement data governance protocols to ensure data integrity, security, and compliance. This role offers a unique opportunity to influence data strategy and infrastructure, contributing directly to the bank's efforts in combating financial crime and fulfilling regulatory requirements.

Qualifications

  • A bachelor's or master's degree in Computer Science, Data Science, Information Technology, or a related field.
  • 3 to 5 years of relevant experience in data engineering, data modeling, and large-scale data solution development.
  • Strong expertise in data design and modeling methodologies, including Data Vault and dimensional modeling approaches.
  • Proficiency in SQL and Python for data processing, automation, and optimization.
  • Experience with designing and operating data solutions in distributed and cloud environments, particularly AWS, Snowflake, and Terraform.
  • Familiarity with collaborative development tools, DevOps practices, automation, automated testing, and CI/CD pipelines.
  • Knowledge of data governance, security, quality management, and data valuation principles.
  • Excellent problem-solving skills, attention to detail, and the ability to adapt to evolving technologies and project requirements.

Responsibilities

  • Define and develop scalable data models and solutions that address the analytical needs of the financial crime and regulatory sectors.
  • Design, build, and maintain robust data pipelines for batch and real-time processing using tools like Kafka, in cloud environments.
  • Integrate and automate data flows between various systems and business applications, optimizing processing efficiency through SQL and Python scripting.
  • Implement comprehensive governance, control, quality, and security measures to safeguard data integrity and confidentiality.
  • Collaborate with cross-functional teams to influence the evolution of data strategies, platforms, and infrastructure, promoting best practices in engineering and automation.
  • Support continuous improvement initiatives by adopting emerging technologies and methodologies to enhance data solutions.
  • Ensure compliance with data security policies and regulatory standards, proactively addressing data-related risks.

Benefits

At National Bank, we offer a competitive compensation package complemented by a comprehensive suite of benefits aimed at supporting your well-being and that of your family. These include a health and wellness program with multiple options, flexible group insurance plans, and a generous pension scheme. Employees are also eligible for our Employee Share Ownership Plan and Employee and Family Assistance Program, providing financial and emotional support. Additional benefits encompass preferential banking services, involvement in community initiatives, telemedicine services, and access to a virtual sleep clinic. Our flexible work arrangements, including hybrid work models and adaptable schedules, foster a healthy work-life balance. We are dedicated to continuous professional development through personalized training programs, the Data Academy, language courses, and coaching opportunities, encouraging growth and internal mobility within the organization.

Equal Opportunity

National Bank is committed to fostering an inclusive and accessible environment for all employees and applicants. We value diversity and are dedicated to providing equal employment opportunities regardless of race, gender, age, disability, ethnicity, or background. We strive to accommodate individuals with disabilities throughout the recruitment process and are happy to provide accommodations upon request. Our goal is to create a workplace where everyone can thrive and contribute to our shared success. We welcome all qualified candidates to join our team and help us make a positive impact in the communities we serve.

More about this job

Responsibilities

Design, develop, and maintain scalable data models and robust batch and real-time pipelines to support financial crime and regulatory analytics. Integrate and optimize data flows while implementing governance, quality, security, and compliance controls, and collaborate with teams to improve data platforms and engineering practices.

Requirements

A bachelor's or master's degree in Computer Science, Data Science, Information Technology, or a related field is required, along with 3 to 5 years of relevant experience in data engineering, data modeling, and large-scale data solutions. Candidates should have strong SQL and Python skills, expertise in Data Vault and dimensional modeling, experience with AWS, Snowflake, Terraform, and distributed or cloud environments, and familiarity with DevOps, automated testing, CI/CD, and data governance.

Skills

  • Data Engineering
  • Data Modeling
  • Data Vault
  • Dimensional Modeling
  • SQL
  • Python
  • AWS
  • Snowflake
  • Terraform
  • Kafka
  • Data Pipelines
  • Data Governance
  • Data Security
  • Data Quality Management
  • DevOps
  • CI/CD

Benefits

  • Health And Wellness Program
  • Flexible Group Insurance
  • Pension Scheme
  • Employee Share Ownership Plan
  • Employee And Family Assistance Program
  • Preferential Banking Services
  • Telemedicine Services
  • Virtual Sleep Clinic
  • Flexible Work Arrangements
  • Professional Development And Training

Visa sponsorship

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Categories

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

Keywords

  • Data Engineering
  • Data Analytics
  • Data Modeling
  • Data Vault
  • Dimensional Modeling
  • SQL
  • Python
  • AWS
  • Snowflake
  • Terraform
  • Kafka
  • Data Pipelines
  • Batch Processing
  • Real-Time Processing
  • Distributed Systems
  • Cloud Environments
  • Data Governance
  • Data Security
  • Data Quality
  • Data Valuation
  • DevOps
  • Automated Testing
  • CI/CD
  • Financial Crime
  • Regulatory Compliance
  • Data Integration
  • Automation

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