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Chief Data Engineering Developer

National Bank of Canada
  • Montreal
  • Hybrid
  • Posted 23h ago

Job description

A career as a Chief Data Engineering Developer on the Analytics and Data team at National Bank means acting as a data engineering expert. In this role, you will have a direct impact on how the organization leverages and evolves its data through your expertise in data solution development, analytical processing architecture, and technical leadership.
Your role

  • Support teams in the design, development, and evolution of solutions that expose, transform, and maximize the value of data.
  • Advise partners and development teams on best practices, technology choices, and data engineering approaches that best meet business needs.
  • Develop and optimize data processing workflows, pipelines, and components to ensure solution performance, quality, and sustainability.
  • Conduct technical reviews and contribute to resolving complex issues related to data, performance, or integration.
  • Collaborate with architecture, data governance, and technology partner teams to ensure a consistent and scalable vision for solutions.
  • Contribute to continuous improvement, development automation, and knowledge sharing initiatives to increase team autonomy.

Your team
The Analytics, Data and Digital Vice-Presidency is made up of specialists who work in an agile, proactive, and collaborative environment to maximize the value of data, support digital transformation, and generate sustainable impact across the organization.

Within the Analytics and Data sector, you will be part of a large multidisciplinary team responsible for the development and evolution of the Horizon platform, reporting to the Senior Director, Governance and Enablement. Our team stands out for its strong collaboration, value-driven mindset, and strategic role in democratizing data across the organization.

We strive to offer maximum flexibility to support your quality of life. This includes a hybrid work environment as well as a flexible and adaptable schedule.

The Bank values continuous learning and internal mobility. Our personalized training programs, based on hands-on learning, help you master your craft and develop new areas of expertise. Resources such as the Data Academy, language training, the Harvard Learning Center, and coaching and mentoring opportunities are available to you at all times.
Prerequisites

  • Hold a bachelor’s degree in information technology, data engineering, or a related field, and have a minimum of five years of relevant experience.
  • Possess significant experience in data engineering and the development of analytical solutions.
  • Demonstrate strong expertise in SQL and the optimization of complex queries in large-scale data environments.
  • Demonstrate solid experience in Python development.
  • Work with cloud-based data platforms, particularly Snowflake
  • Possess Data modélisation experience, like Data Vault.
  • Apply modern engineering practices, including CI/CD, DevOps, and ideally data governance principles.

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