Our vision for the future is based on the idea that transforming financial lives starts by giving our people the freedom to transform their own. We have a flexible work environment, and fluid career paths. We not only encourage but celebrate internal mobility. We also recognize the importance of purpose, well-being, and work-life balance. Within Empower and our communities, we work hard to create a welcoming and inclusive environment, and our associates dedicate thousands of hours to volunteering for causes that matter most to them.
Chart your own path and grow your career while helping more customers achieve financial freedom. Empower Yourself.
Canada Life is an insurance and financial services company with its headquarters in Winnipeg, Manitoba. we provide a wide range of insurance and wealth management products for individuals, families, and business owners from coast to coast. Canada Life is focused on improving the financial, physical and mental well-being of Canadians and believes in good corporate governance. Our Technology team is a strategic partner in our business – with an ambition to be a forward-thinking, agile technology organization delivering secure, resilient, and leading solutions that support Canada Life and the well-being of millions of Canadians.
The role of the Senior Data Engineer is part of the Enterprise Data Enablement Team at Canada Life, and is responsible for the engineering, creation, and support of data services and products that increase velocity and quality of data to drive business insights and analytics across the organization.
What you will do:
Build and support data products for Canadian use: design, curate, and publish self-service connected datasets that increase re-use and quality of the data available in support of business data and analytic initiatives
Design and develop data models and patterns for re-usability in collaboration with Data Governance and Information Architecture teams
Optimize data engineering and preparation activities through automation and leveraging of modern tools and techniques
Collaborate on a daily basis with the core data team and business while assisting with mentoring other engineers on the team
Collaborate with business teams to understand data needs, provide recommendation on solution options, and support business initiatives when required
Inventory critical data elements including lineage, classification, and usage
Create and maintain a strong collaboration with different groups inside the organization
What you will bring:
Mathematics, Computer Science and/or Data Analytics degree
5+ years of applied data engineering experience (Data & Analytics education an asset)
Expertise and knowledge of SQL, Python, Azure, Databricks, Synapse, ADF and PowerBI
Strong understanding of data modeling and ability to apply different techniques within a cloud platform
Excellent communication, presentation, and strong organization skills
Excitement to share learnings with others across the company, including senior leadership and community of practice participation
Agile, practical, customer service-oriented mindset
Generally curious and excited to learn new things
We are an equal opportunity employer with a commitment to diversity. All individuals, regardless of personal characteristics, are encouraged to apply. All qualified applicants will receive consideration for employment without regard to age, race, color, national origin, ancestry, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, religion, physical or mental disability, military or veteran status, genetic information, or any other status protected by applicable state or local law.
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