Senior Data Integration Specialist

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.

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 Business Intelligence team empowers decision making using leading edge science and analytics. We champion a scientific culture through our passion for continuous learning, diversity and innovation. We strive to deliver a single version of truth, by providing our business partners with access to comprehensive data and valuable insights to help our organization achieve operational excellence.

As a Senior Data Integration Specialist, you will autonomously contribute to various initiatives by engineering data solutions for analytics purposes while also supporting the team through coaching. You will be responsible for providing business value through the creation; maintenance; implementation of back-end data solution (ie. Source System ingestion, ETL & Data Store) through the full software development lifecycle and effectively communicate said value to a business audience.

How you will create impact:

• Proficiently working with data engineering tools: general purpose languages used in data engineering or generally in BI and related framework or interfaces, data querying and data handling and DevOps platforms.
• Debug, analyze, and resolve complex database and SQL issues to ensure optimal performance and stability.
• Investigate, troubleshoot, and perform root cause analysis on SQL performance issues and data discrepancies.
• Autonomously contributes to assessing data quality and building automated controls.
• Define and build data solutions (data models, data pipelines, APIs and more) and support others through execution.
• Coach and mentor team members by sharing technical expertise, development best practices, and industry standards.
• Proficiently develop analytic solutions to solve business problems by understanding the role of data in reporting, metrics, predictive models and other analytic solutions within the BI environment.
• Contribute to the design of analytic solutions, considering scalability, automation, security, long term maintainability and performance.
• Apply and promote software development lifecycle (SDLC) practices, including code reviews, testing, deployment standards, monitoring, and operational support.
• Deeply understand the insurance domain (metrics, KPI, key insurance concept), business objectives, how your own tasks contribute to meeting the business objectives and how they are connected to enterprise goals.
• Autonomously and efficiently communicate findings to a business audience.

To join our team:

• You have 4-7 years of experience in the Data Engineering/Integration or other related field.
• You have a Bachelor’s degree in, Computer Science or any other relevant field.
• You have experience solving complex problems by taking a new perspective on existing solutions; and exercising judgment based on the analysis of multiple sources of information by providing clear recommendations for improvement.
• You have strong knowledge and understanding of data analysis, programing, modeling techniques, data warehouse and data management, research, architecture and design.
• You have strong knowledge of: Data engineering and integration, Data modeling techniques, Data warehousing, Data management and governance, Software development lifecycle (SDLC) practices.
• You have hands-on experience developing and supporting enterprise data solutions using modern cloud-based technologies such as: SQL, Python, Azure Synapse Analytics, Azure Data Lake Storage (ADLS), GitHub and/or Azure DevOps.
• Experience with the following technologies is considered an asset: Databricks, Apache Spark / PySpark, Delta Lake, Microsoft Fabric, Power BI.
• You have experience designing and implementing logical and physical data models for analytical and operational reporting solutions.
• 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.

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 (, health and wellness, dental, disability and life coverage), mental health support and an employee assistance program.

Expected salary range $83,774 - $133,700+ (min-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.