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. 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. 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. 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. 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 Knowledge of a cloud data warehouse such as snowflake. Languages: French Communication, Data Architecture, Data Cleansing, Data Conversion, Data Modeling, Data pipeline, Data Structures, Data Warehousing, Databricks, Initiative, Leadership, Learning Agility, Snowflake, Teamwork, Technical Documentation Flexible group insurance Generous pension plan Employee and family assistance program Involvement in community initiatives Virtual sleep clinic Whether through our surveys or programs, regular feedback and ongoing communication are encouraged. We’re a bank on a human scale that stands out for its courage, entrepreneurial culture, and passion for people. Our core values of partnership, agility, and empowerment inspire us, and inclusion is central to our commitments.