Senior Data Engineering Analyst

A career as a Senior Data Engineering Analyst in the Cross-Functional Cybercrimes Data team at National Bank means acting as an analytical data specialist. You will work on data engineering projects such as designing databases, creating data pipelines for data ingestion, cleansing, and transformation, as well as optimizing the performance of data processing systems. This job allows you to have a positive impact on our organization, thanks to your experience and recognized skills in data engineering.

Your job

• Influence business lines in the organization and presentation of data, and participate in the data strategy.
• Participate in the identification and documentation of authoritative data sources that meet the needs of the business lines.
• Contribute to the evolution of processes and tools, and guide the choice of data analytics solutions.
• Implement and monitor performance indicators related to data analysis.
• Determine data analytics infrastructure needs and evolve the technology environment accordingly.
• Participate in the design and development of structured and unstructured data acquisition solutions.

Your team

At the Bank, data engineering is present in all lines of business and we work in an agile, proactive and collaborative manner to seize opportunities, stay on the cutting edge of technology and continuously improve processes.

Within the Financial Crime sector, you will be part of a large team and report to the Senior Director, Analytical Assets. Our team is distinguished by its dynamism and multidisciplinarity, managing and delivering business and technological projects related to the management of personal information at the company level.

The Bank values continuous development and internal mobility. Our personalized training programs, based on learning in action, allow you to master your craft and develop new areas of expertise. Tools such as Udemy, the Data Academy, language training, the Harvard Learning Center, and coaching and mentoring support are available to you at all times.

Prerequisite

• Bachelor's degree related to the field and 5 years of relevant experience, OR Master's degree in Data Science, Statistics, Computer Science, Economics, Mathematics and 3 years of relevant experience.
• Good knowledge of data models, structure and management as well as data engineering.
• Experience in data manipulation, structuring, management, analysis and prototyping, as well as data modeling (Data Vault, dimensional model).
• Knowledge of one or more data manipulation languages: SAS, SQL, Python.
• Experience with a cloud data warehouse such as Snowflake and/or Databricks.

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.    * 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 * Opportunities to get involved in community initiatives * Telemedicine service * Virtual sleep clinic    These are a few of the benefits available to you. 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 actively listen to employees’ ideas. Whether through our surveys or programs, regular feedback and ongoing communication is encouraged.   We're putting people first 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 peoples' lives. Our core values of partnership, agility, and empowerment inspire us, and inclusivity is central to our commitments. We offer a barrier-free workplace that is accessible to all employees.     We want our recruitment process to be fully accessible. If you require accommodation, feel free to let us know during your first conversations with us. We welcome all candidates! What can you bring to our team?    Come live your ambitions with us!