Senior Data Engineer

You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do.
At Sun Life, we're driven by our Purpose: helping our Clients achieve lifetime financial security and live healthier lives. Our values shape how we work: caring, authentic, bold, inspiring, and impactful.
When you join Sun Life, you'll work with passionate colleagues and empowering leaders who support your growth and celebrate your contributions, so you can make a meaningful difference in our Clients' lives.
Discover how you can make a difference in the lives of individuals, families and communities around the world.
Job Description:The Client Experience Office (CXO) is an important pillar of Sun Life Canada’s Data and Analytics growth and corporate strategy and as such, is seeking experienced data engineering individual with a proven track record working with data consumers to extract meaningful insights from enterprise data. This Senior Business data engineer will play an indispensable role in assembling the necessary data products that fuel myriads of analytical models used by our various business units across Canada.
Reporting to the Manager of Data Engineering, the Senior Business Data Engineer will be a key member of Data Enablement Team responsible for building enriched data products that provide deep insights about our Client, Advisor, Product, Transactions along with their intricate relationships. The Senior Business Data Engineer will work with data analysts and data scientists to help answer complex business enquires such as identifying new business opportunities, understanding our client behavior and optimizing areas of our sales cycles.
What will you do:
Design and engineer data models that represent our key business entities such as our Advisor, Client & Product
Ensure high level of data quality and data integrity are maintained across data sources for business data assets
Convert complex business and technical rules into logic for data flows and data pipelines
Obsessed with understanding our enterprise data and interpreting it in the best way possible to derive business value
Work with our Data Science teams to implement data products for various use cases
Collaborate with stakeholders and incorporate into solution design for various use case requirements
Standardize metadata into a common glossary along with the necessary documentation for data consumers
This is a senior individual contributor role bridging the requirements of Business consumers and data engineering practitioners to support the overall Business Data Strategy.
This role will be partnering closely with CXO business stakeholders, enterprise governance and risk partners, and CXO data practitioners
What do you need to succeed?
3-5 years hands-on experience working on major Cloud technologies and programming languages for data processing and analytics
3+ years experience with AWS and Snowflake platforms for building robust ETL pipelines, Catalog management, Data Quality and Governance implementation to keep data compliant and reliable.
3+ years experience and proficiency in Python, Pyspark and SQL
Demonstrated Experience in cost and performance optimization of Spark and SQL jobs
5 years hands-on experience with relational database systems, relational models, dimensional models, and analytical models
3-5 years experience with engineering data products as input to various analytical models
3-5 years building feedback loops between model deployment and its data – i.E. tune & tweak data products to achieve scale, optimization, etc.
Sound understanding of Data Management principles (data warehousing, data quality, master data management, etc.) and Data Governance principles. Sound understanding of data modelling and a passion for analytics
Proven ability to leverage knowledge of data engineering to extract, conform and integrate a variety of operational data sources into production-grade data products
Experience of popular data formats like Parquet and Iceberg
Experience in BI Tools like Tableau, Quicksight, Streamlit is a definite plus.
Experience working with very large datasets and familiarity with big data technologies
Excellent verbal and written communication skills;
have executive presenceand proven ability to partner with Data Scientists to articulate insights gleaned from the model and the underlying data
What will be nice to have
Understand and Embrace Agile Operating Model
Understanding of AI concepts and Machine learning and familiarity with AI services of AWS and Snowflake platforms
Knowledge of fundamental statistical models & techniques
Knowledge and experience working with DevOps technologies
Experience working in a large financial services organization
Undergraduate degree in Computer Science, Mathematics, Engineering, or equivalent
Graduate degree in business or quantitative science strongly preferred
What’s in it for you:
We’re honoured to be recognized as a 2026 Best Workplaces in Canada by Great Place to Work® Canada.
We are thrilled to be recognized by Excellence Canada with their top-level certification, the Canada Order of Excellence for Mental Health at Work®, for prioritizing employee well-being, fostering a positive work culture, and achieving excellence in mental health.
Wellness programs that support the three pillars of your health – mental, physical, and financial
The opportunity to move along a variety of career paths with amazing networking potential.
As a hybrid organization, you and your leader use business and Client need to choose where you work, at home or in the
Unique Requirements:This role requires Reliability Status Clearance. In addition to a law enforcement inquiry and a credit check, as part of your application, the Government of Canada will ask if you lived or travelled outside of Canada for 6-consecutive months during the last 5 years, and you must account for all activities during this time. Important: Obtaining Reliability Status Clearance within a reasonable amount of time is a condition required to start employment for this role at Sun Life.
Must be able to satisfactorily complete applicable background checks prior to the start date and during employment, in accordance with Sun Life’s policies and practices.
The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.
Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our Clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.
Persons with disabilities who need accommodation in the application process, or those needing job postings in an alternative format, may e-mail a request to View email address on ca.hrm.tc.
We are proud to be a hybrid organization that offers our employees the choice and flexibility to work from both the office and virtually based on the needs of the business, our Clients and you.
We may use artificial intelligence to support candidate sourcing, screening, interview scheduling.
We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.
Salary Range:85,000/85 000 - 128,000/128 000
Job Category:Advanced Analytics
Posting End Date:29/10/2026
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