Senior Data Engineer

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 job Responsible for exposing modelling and risk strategies, collection and recovery data in the Bank's target analytical environment, from ingestion to implementation Implement data quality monitoring solutions, optimise SQL and spark tasks to improve data processing and implement performance indicators related to data analysis Influence the business lines in organising and presenting data and participating in data strategy Help identify and document authoritative data sources that meet the needs of our business lines Design, automate and implement real-time data integration solutions that meet the needs of the sector, in accordance with Bank best practises Determine data analysis infrastructure needs and develop the technological environment accordingly. Your team In 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 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 Relevant training such as data science, statistics, computer science, economics or mathematics, as well as 5 years of relevant experience in data engineering Experience in data design, management, transformation and modelling, including approaches such as data vault or dimensional modelling Experience in manipulating and processing big data Proficiency in at least one of the following data languages or technologies: SQL, Python, Spark or SAS Experience with development and delivery cycle management tools such as Jira, Jenkins or GIT. Knowledge of a cloud data warehouse such as snowflake. Languages: French Required skills: Communication, Data Architecture, Data Cleansing, Data Conversion, Data Modeling, Data pipeline, Data Structures, Data Warehousing, Databricks, Initiative, Leadership, Learning Agility, Snowflake, Teamwork, Technical Documentation 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!

Responsible for implementing data integration, ingestion, and quality monitoring solutions within the Bank's target analytical environment. The role involves optimizing SQL and Spark tasks and designing real-time data integration to support risk strategies and modelling.

Requires at least 5 years of experience in data engineering with proficiency in SQL, Python, Spark, or SAS. Candidates should have expertise in big data processing, data modeling (Data Vault or dimensional), and experience with cloud data warehouses like Snowflake.

• Health and wellness program • 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

• Travail d’équipeSouhaitée
• LeadershipSouhaitée
• CommunicationSouhaitée

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Communication
• Data Architecture
• Data Cleansing
• Data Conversion
• Data Modeling
• Data pipeline
• Data Structures
• Data Warehousing
• Databricks
• Initiative
• Leadership
• Learning Agility
• Snowflake
• Teamwork
• Technical Documentation

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

Formation minimale

Baccalauréat

Expérience minimale

5+ ans

Postuler avant le

24 sept. 2026

Langue de l’offre

anglais

Heures de travail

40 heures par semaine

Niveau d’expérience

Not Applicable