A career as a Senior Data Engineering Developer in the Information Technology – Capital Markets team at National Bank means serving as a Data Solutions Specialist.
This position allows you to have a concrete impact on the financial markets ecosystem thanks to your expertise in data engineering, data governance and implementing robust and scalable solutions.
- Define and develop the sector's data management strategy
- Design, develop and maintain large-scale data flows in a cloud environment
- Optimize and support the data environment to ensure performance, reliability and security
- Support data owners in applying best practises in data governance and quality
- Develop and improve integration and continuous delivery pipelines to accelerate deployments
- Ensure compliance with data quality, confidentiality and management principles in all activities
Your team
The Vice-President – Information Technology – Capital Markets is a team of specialists who work agile, proactively and collaboratively to support the sector's strategy and continuously improve processes.
In Capital Markets, you are part of a multi-disciplinary team across Canada and report to the Senior Manager.
Our team stands out for its cross‑sector vision, rigour and commitment to innovation.
Our goal is to offer you maximum flexibility to promote your quality of life. This includes a hybrid work environment and a flexible, 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
- Bachelor's degree in computer Science or a related field and 5 to 7 years of relevant experience in data engineering
- Advanced knowledge of SQL and Python
- Experience with cloud platforms and distributed architectures, including AWS
- Experience in designing and developing massive data flows
- Knowledge of data environments and data valuation processes
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