Chief Developer in Data Engineering

Job summary

The role involves defining and evolving data architecture and models to support analytical needs while designing and maintaining robust ETL/ELT pipelines in cloud environments. The candidate will optimize data processing using SQL and Python and implement governance mechanisms to ensure data integrity.

Job details

A career as a Chief Developer in Data Engineering within the Data Strategy team in the Business Performance, Evolution and Processes sector at National Bank means acting as an analytical data specialist. Leveraging your expertise in data architecture and modeling, your experience building data pipelines, and your knowledge of cloud environments, you contribute directly to data enablement and the transformation of Operations. Your role Define and evolve the data architecture and data models that support the sector’s analytical needs. Design, develop, and maintain robust data pipelines (ETL and ELT) within the Bank’s cloud environments. Develop integrations and automations that efficiently connect business applications and data platforms. Optimize data processing using SQL and Python to improve solution performance, reliability, and efficiency. Implement data quality, governance, and control mechanisms to ensure data integrity. Influence the sector’s data strategy and contribute to the evolution of the data infrastructure through engineering and automation best practices. Your team The Business Performance, Evolution and Processes Vice-Presidency is made up of specialists who work in an agile, proactive, and collaborative manner to seize opportunities, stay at the forefront of technology, and continuously improve processes. Within the Business Performance, Evolution and Processes sector, you will be part of the Data Strategy team, responsible for driving Operations’ enterprise-wide transformation, and you will report to the Director of Analytics. You will work closely with passionate data experts to accelerate the delivery of our strategic initiatives. Our team stands out through its data engineering expertise, collaborative mindset, and commitment to high-quality delivery. We aim to provide maximum flexibility to support your quality of life through a hybrid work environment and a flexible, adaptable schedule. The Bank values continuous development and internal mobility. Our personalized training programs, based on learning through action, enable you to master your profession and develop new areas of expertise. Tools such as the Data Academy, language training, the Harvard Learning Center, as well as coaching and mentoring opportunities are always available to you. Requirements Bachelor’s degree in a related field and five years of relevant experience, or a master’s degree in a related discipline and three years of relevant experience. Strong experience in data engineering, including ETL and ELT pipeline development, large-scale data management, data modeling (Data Vault and dimensional modeling), and data architecture. Proficiency in SQL and Python for data transformation, integration, and analytics. Experience with cloud environments and modern data platforms, including AWS, Snowflake, Terraform, as well as Git, GitHub Actions, Bitbucket, and Jira.(Asset) Knowledge of software development best practices, automated testing, and continuous integration and continuous delivery (CI/CD) methodologies.(Asset) Strong analytical thinking, autonomy, proactivity, collaboration and influencing skills, as well as the ability to solve complex problems in a fast-paced and evolving agile environment. Languages: French Required skills: Amazon Web Services, Atlassian Jira, Bitbucket, Cloud Computing, Continuous delivery, Continuous Integration, Data Architecture, Data Conversion, Data Modeling, Data pipeline, Data Structures, Data Warehousing, Database Design, Diversity & Inclusion, Github, GitHub Actions, Incident Management, Information Analysis, Snowflake, Software Development Life Cycle, Teamwork, Terraform 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!

What you’ll do

The role involves defining and evolving data architecture and models to support analytical needs while designing and maintaining robust ETL/ELT pipelines in cloud environments. The candidate will optimize data processing using SQL and Python and implement governance mechanisms to ensure data integrity.

Requirements

Requires a Bachelor's degree with five years of experience or a Master's degree with three years of experience in data engineering. Proficiency in SQL, Python, and cloud platforms like AWS and Snowflake is essential.

Benefits

• 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

Listed skills

• SQL · Preferred
• CI/CD · Preferred
• Jira · Preferred
• Amazon Web Services · Preferred
• Terraform · Preferred
• Git · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Amazon Web Services
• Snowflake
• Terraform
• SQL
• Python
• Data Architecture
• Data Modeling
• ETL/ELT Pipelines
• CI/CD
• Git
• GitHub Actions
• Bitbucket
• Jira
• Data Vault
• Dimensional Modeling
• Data Governance

Job areas

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