Data Engineering Specialist

Company : CGL

Department : Information Technology

Employment Type : Regular Full-Time

Work Model : Hybrid

Language : This role operates in English

Additional Information : This / these role(s) is / are currently vacant

The Opportunity :

We are a leading Canadian financial services co-operative committed to being a catalyst for a sustainable and resilient society and our team is essential to deliver on this strategy. That’s why we prioritize our people, to ensure we provide a strong culture and development opportunities which enables our team to thrive and to live our purpose. The best part is that you will work with people that care passionately about you, our clients and our communities.

Our Information Technology team aspires to be a leader in applying technology to power business strategies. We connect concepts with solutions to create value and efficiencies for our clients, employees, and communities. Our success is driven by our skilled and diverse team who are passionate about excellence, innovation, and agility.

The Data Engineering Specialist drives the technical detail design, development and optimization of data products, ensuring the reliability and performance of ETL processes. This role involves the design and development of complex data pipelines, to take responsibility for the implementation of solutions that comply with architectural requirements, and to collaborate with key partners to meet business objectives.

How you will create impact :

• Development of data solutions, ensuring proper data quality and its monitoring, and proper integration aligned with the medallion architecture.
• Create and maintain data models and architectural diagrams.
• Use data engineering tools for data querying (ex : SQL), data handling (ex : pySpark, stored procedures), data storage (ex : ADLS).
• Lead the design of the semantic layer.
• Proactively apply performance optimizations and monitoring of data solutions, such as alerts.
• Lead and enforce proper documentation, to ensure ongoing maintenance and updates.
• Use DevOps platforms (ex : GitHub) and manage infrastructure deployments through code (ex : Terraform).
• Identify and implement engineering best practices and process improvements to enhance the efficiency and effectiveness of our data solutions.
• Ensure governance and security guidelines are followed.

To join our team :

How you will succeed :

What you need to know :

What’s in it for you?

Expected salary range $69,660 to $116,100

The salary amount for the successful candidate is determined by Co-operators in its discretion and will vary depending on several criteria including but not limited to : local market conditions, geography and relevant job-related factors such as knowledge, skills, qualification, experience and education.

Employees may also have the opportunity to participate in incentive programs and earn additional compensation tied to individual and / or business performance, or other business metrics.

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