About the role

Senior Data Engineer responsible for data services and products at Canada Life. Part of the Enterprise Data Enablement Team enhancing analytics and business insights.

Responsibilities

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

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