Senior Data Engineering Developer

Attendance: Hybrid

Employment Category: Senior Professional

Type of Contract: Permanent

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.

Your job

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

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!

Additional required languages: English, French

Skills: Critical Thinking, Data Conversion, Data Structures, Data Warehousing, Database Design, Diversity & Inclusion, Information Analysis, Software Development Life Cycle, Teamwork, Detail-oriented, Initiative, Learning Agility, Resiliency, Data Cleansing, Data