Data Engineer building Azure ETL/ELT pipelines and governed data architecture for Manulife’s financial services business. Supporting scalable analytics, automation, and operational excellence.
About the role
- Senior Data Engineer building AWS, Snowflake, Python, PySpark, and SQL data products for Sun Life’s Canadian financial-services business. Enabling analytics, data science, governance, and client insights.
Responsibilities
- Design and engineer data models for business entities including Advisors, Clients, and Products
- Ensure data quality and integrity across data sources
- Convert complex business and technical rules into data-flow and data-pipeline logic
- Understand enterprise data and interpret it to derive business value
- Work with Data Science teams to implement data products for varied use cases
- Collaborate with stakeholders and incorporate requirements into solution designs
- Standardize metadata into a common glossary and document it for data consumers
- Bridge Business consumer requirements and data engineering practitioners as a senior individual contributor
- Partner with CXO business stakeholders, enterprise governance and risk partners, and CXO data practitioners
- Support analytical models addressing business opportunities, client behavior, and sales-cycle optimization
Requirements
- 3–5 years hands-on experience with major cloud technologies and programming languages for data processing and analytics
- 3+ years of experience with AWS and Snowflake for ETL pipelines, catalog management, data quality, and governance
- 3+ years of experience and proficiency in Python, PySpark, and SQL
- Experience optimizing Spark and SQL job cost and performance
- 5 years of experience with relational database systems, relational, dimensional, and analytical models
- 3–5 years of experience engineering data products for analytical models
- 3–5 years building feedback loops between model deployment and data
- Understanding of data management, data warehousing, data quality, master data management, data governance, and data modelling
- Ability to extract, conform, and integrate operational data sources into production-grade data products
- Experience with Parquet and Iceberg data formats
- Experience with large datasets and big data technologies
- Excellent verbal and written communication skills and ability to partner with Data Scientists
- Reliability Status Clearance required before employment starts
- Satisfactory completion of applicable background checks before start date and during employment
- Undergraduate degree in Computer Science, Mathematics, Engineering, or equivalent is listed as nice to have
- Graduate degree in business or quantitative science is strongly preferred
Benefits
- Wellness programs supporting mental, physical, and financial health
- Variety of career paths with networking potential
- Hybrid work flexibility between home and office
- Incentive plans for eligible employees, subject to individual and company performance
- Disability accommodations in the application process
Job title
Job type
Experience level
Salary
Degree requirement
No Education Requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
Data Engineer building Azure ETL/ELT pipelines and governed data architecture for Manulife, an international financial services provider. Improving data integration, automation, and platform efficiency.
Data Engineer building ETL pipelines and analytics infrastructure for CAE’s simulation and training solutions. Supporting data quality, modelling, dashboards, and reporting across multidisciplinary teams.
Senior Data Engineer building scalable pipelines and AI - ready infrastructure for CINC Systems’ community association management software. Enabling reliable analytics, automation, and intelligent product experiences.
LP
AWS Data Engineer
LinkedIn Recruiter Post
AWS Data Engineer needed for 12+ month contract in Toronto. Lead design of cloud - native data pipelines, mentor engineers, and drive data quality and cost optimization.
LP
TEST DATA MANAGEMENT
LinkedIn Recruiter Post
Hiring a Test Data Management (TDM) contractor for a long - term hybrid role in Toronto. Requires strong TDM experience, Delphix, and Java; Python is a plus.
Senior Data Engineer building AWS/GCP data infrastructure for Ready’s broadband monitoring and BEAD programs. Developing reliable pipelines, data quality systems, and AI - enabled workflows.
LP
Data Architect
LinkedIn Recruiter Post
Seeking an experienced Data Architect to design scalable data solutions for enterprise environments. Expertise in Data Architecture and Cloud - Based Data Analytics required.
LP
Data Science Developer
LinkedIn Recruiter Post
Contract Data Science Developer needed in Toronto with health data and public - sector experience. Must have SQL, Python, Azure, Power BI.
Databricks Data Engineer building scalable ingestion and ETL pipelines for Avanquest’s global software products. Ensuring data quality, lineage, reliability, and optimized storage.