Senior Data Engineering Developer

Co-operators; Guelph, Toronto, Mississauga, Burlington; Hybrid; CAD 84,000 - 134,000; Full time

Benefits offered by this job

Flexible work options

Paid time off

Well-being programs

Volunteer days

Job summary

CGL is seeking a Sr Data Engineering Developer to lead development and optimization of data products. You will manage complex data pipelines, collaborate with partners, and mentor junior team members to deliver high-quality data for analysis and decision-making.

You will work with Azure-based data platforms, implement CI/CD pipelines, and ensure security and performance across data solutions in a hybrid environment. Strong communication and leadership are essential.

Qualifications

• Degree in Computer Science, Information Systems or related field required.
• 3–5 years in a data-adjacent role and 3+ years in data engineering.
• Experience building modern data platforms and data products.
• Hands-on Azure PaaS experience is an asset.
• Strong communication and project management skills.

Responsibilities

• Develop and optimize data products and ETL pipelines.
• Guide junior colleagues and collaborate with partners.
• Implement data models, semantic layers and CI/CD pipelines.
• Ensure data security and monitor performance of data solutions.
• Partner with stakeholders to drive business value.

Skills

Analytical thinking

Communication skills

Leadership / mentoring

Collaboration

Problem solving

Education

Bachelor's degree in Computer Science or related field

Advanced degree is an asset

Tools

Azure Data Lake Storage

Azure Databricks

Azure Synapse

Azure Data Factory

Azure Purview

Databricks environments

Job description

Company: CGL
Department: IT - Solution Delivery
Employment Type: Regular Full-Time
Work Model: Hybrid (2 days in office)
Language: English is required, French is an asset.

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.

The Sr Data Engineering Developer is responsible of development and optimization of data products, ensuring the reliability and performance of ETL processes. This role requires a high level of autonomy in managing complex data pipelines, the ability to collaborate with key partners, and to support junior team members while delivering high-quality data for analysis and decision-making.

How you will create impact:

• Autonomously, and through guiding junior colleagues;
• Execute data extraction, cleaning, reconciliation and assess its characteristics, such as data quality
• create and interpret a physical and logical data model
• use data engineering tools for data querying (ex: SQL), data handling (ex: pySpark, stored procedures), data storage (ex: ADLS)
• Contribute to building data solutions (data pipelines, APIs and more).
• Bring data to visualization tools by implementing the semantic layer
• Proactively apply performance optimizations and monitoring of data solutions, such as alerts.
• Proactively apply performance optimizations and monitoring of data solutions.
• Autonomously, and through guiding junior colleagues;
• use DevOps platforms (ex: GitHub) and manage infrastructure deployments through code (ex: Terraform)
• Configure and use continuous integration and deployment (CI/CD) pipelines, and our infrastructure (ex: Databricks environments) to properly develop and deploy data solutions
• promote and comply with security requirements on the platforms and environments used by our data solutions
• Identify opportunities to collaborate, innovate, and make data-driven decisions, with the ultimate goal of bringing value to the business.
• Partner with business and technology stakeholders to drive business value.

To join our team:

• You have a degree in Computer Science, Information Systems, or related field is required. An advanced degree is an asset.
• 3-5 years of experience in Data-adjacent role.
• 3+ years of experience in data engineering with experience in building modern data platforms and data products.
• 3+ years of experience implementing data solutions. (Azure preferred).
• Advance knowledge of data modeling, ETL processes, data warehousing concepts, and best practices in data engineering and analytics.
• Significant hands-on experience with the following Azure PaaS is an asset: Azure Data Lake Storage (ADLS), Azure Databricks, Microsoft Fabric, Azure Data Factory (ADF), Azure Synapse, Event Hub, API Management (APIM), Azure Key Vault, Azure SQL, and Purview. Excellent project management skills with the ability to prioritize and manage multiple priorities simultaneously.
• Excellent verbal and written communication skills with experience presenting to large and small audiences.

How you will succeed:

• You have an innovative mindset to improve operational efficiencies and ability to influence change, with a primary focus on client needs.
• You use critical thinking skills to recognize assumptions, evaluate arguments, draw conclusions and proactively propose solutions.
• You have strong communication skills to clearly convey messages and explore diverse points of view.
• You build trusting relationships and provide guidance to support the development of colleagues.

What you need to know:

• You will be subject to a Background check as a condition of employment, in the event you are the successful candidate.

What’s in it for you?

• Training and development opportunities to grow your career.
• Flexible work options and paid time off to support your personal and family needs.
• A holistic approach to your well-being, with physical and mental health programs and a supportive workplace culture.
• Paid volunteer days to give back to your community.
• In addition to our competitive salary and incentive programs, eligible employees also benefit from a comprehensive total rewards package including group retirement savings plans, pension and benefits (e.g., health and wellness, dental, disability and life coverage), mental health support and an employee assistance program.

Expected salary/hourly range $83,774-$133,700+

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.