Sr Data Engineering Developer

Company: CGIC
Department: Business Intelligence
Employment Type: Regular Full-Time
Work Model: Hybrid (2 days in office)
Language: English is required, French is an asset.

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 for the design, development and optimization of data products and enterprise data solutions, ensuring the reliability and performance of data pipelines, APIs, and analytics solutions. 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, automation, and insight generation.

• Working Autonomously, along with guiding junior colleagues to:
  • Execute data extraction, cleansing, reconciliation and assess its characteristics, such as data quality.
  • Design and maintain 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), cloud-based development, using tools such as Python, Databricks and data lake platforms.
  • Contribute to building scalable data solutions (data pipelines, APIs and more), reusable frameworks, and AI-enabled capabilities that support automation and advanced analytics.
  • Bring data to visualization tools by implementing the semantic layer.
• Applying proactive performance optimizations and monitoring of data solutions, such as alerts, while improving scalability, maintainability, and overall architecture.
• Performing research and analysis to solve real-world business problems.
• Working Autonomously, along with guiding junior colleagues to:
  • 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.
• Delivering production ready code (ex: no technical debt, using proper frameworks) and reusable approaches that reduce technical debt.
• Identifying opportunities to collaborate, innovate, and make data-driven decisions, with the ultimate goal of bringing value to the business.
• Partnering with business and technology stakeholders to drive business value.

• 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.

• You have a degree in Computer Science, Information Systems, or related field is required. An advanced degree is an asset.
• You have 3-5 years of experience in Data-adjacent role.
• You have 3+ years of experience in data engineering with experience in building modern data platforms and data products, along with designing, developing and supporting data or software solutions.
• You have 3+ years of experience implementing data solutions (Azure preferred).
• You have advanced knowledge of data modeling, ETL processes, data warehousing concepts, and best practices in data engineering and analytics.
• You have hands-on experience with the following technologies and concepts: Python, Azure Data Lake Storage (ADLS) or equivalent data lake platforms, Azure Synapse SQL, Purview, OpenAI API Standard, Pandas/ Polars, REST APIs, Object Oriented Programming and Concurrent application design.
• Having experience with AI services and LLMs would be considered an asset.
• Having experience with Databricks and PySpark would be considered an asset.
• You have a demonstrated ability to evaluate technical challenges, design scalable solutions, and translate business requirements into technical outcomes.
• You have the ability to develop solutions from the prototype phase into a production-grade system.
• You have excellent project management skills with the ability to prioritize and manage multiple priorities simultaneously.
• You have excellent verbal and written communication skills with experience presenting to large and small audiences, with varying degrees of technical and business knowledge.
• This position primarily works with majority non-francophone groups, and teams located outside of Québec, and requires proficiency in English. The essential non-French duties are not assignable to adjacent or other team members. 

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

• 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 range $83,774 to $133,700+ (min to max - full range)

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.