A career as a data engineering developer in the modelling and risk strategies team at National Bank means serving as a data analytics specialist. This position allows you to have a direct impact on transforming the organisation's analytical capabilities thanks to your expertise in data engineering, data integration, data architecture and optimisation of analytical environments.Your jobResponsible for exposing modelling and risk strategies, collection and recovery data in the Bank's target analytical environment, from ingestion to implementationImplement data quality monitoring solutions, optimise SQL and spark tasks to improve data processing and implement performance indicators related to data analysisInfluence the business lines in organising and presenting data and participating in data strategyHelp identify and document authoritative data sources that meet the needs of our business linesDesign, automate and implement real-time data integration solutions that meet the needs of the sector, in accordance with Bank best practisesDetermine data analysis infrastructure needs and develop the technological environment accordingly.Your teamIn the risk modelling and strategies, Collection and Recovery sector, you will be part of a unit responsible for transforming the sector and reporting to the Senior Manager - Data and Decision-making Tools. 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 and 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 current 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.PrerequisitesRelevant training such as data science, statistics, computer science, economics or mathematics, as well as 5 years of relevant experience in data engineeringExperience in data design, management, transformation and modelling, including approaches such as data vault or dimensional modellingExperience in manipulating and processing big dataProficiency in at least one of the following data languages or technologies: SQL, Python, Spark or SASExperience with development and delivery cycle management tools such as Jira, Jenkins or GIT.Knowledge of a cloud data warehouse such as snowflake.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 clinicWe 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!Communication, Data Architecture, Data Conversion, Data Modeling, Data Structures, Data Warehousing, Leadership, Teamwork, Technical Documentation, Initiative, Learning Agility, Snowflake, Data Cleansing, Data pipeline, Databricks

📌 Senior Data Engineer (Montreal)
🏢 National Bank
📍 Montreal