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Business Data Engineer

Sun Life Financial

This is a Contract position in Toronto, ON posted October 7, 2020.

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. Discover how you can make a difference in the lives of individuals, families and communities around the world.

Job Description:

At Sun Life, we work together, share common values and encourage growth and achievement. We offer many career paths that attract a wide variety of talent and skills. Follow a path that lets your talents shine.

Role Summary:

The Client Experience Office (CXO) is an important pillar of Sun Life’s corporate strategy and as such, is seeking experienced data engineering individuals with a proven track record working with data consumers to extract meaningful insights from enterprise data.  Business data engineers play an indispensable role in assembling the necessary data products that fuel myriad of analytical models used by our various business units across Canada.

Reporting to the Director of Business Data Engineering, the Business Data Engineer will be a key member of Canadian Analytics CoE responsible for building enriched data products that provide deep insights about our Client, Advisor, Product, Transactions along with their intricate relationships.  The 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 behaviour and optimizing areas of our sales cycles.

What will you do?

  • Obsessed with understanding our enterprise data and interpreting it in the best way possible to derive business value
  • Design and engineer data models that represent our key business entities such as our Advisor, Client & Product
  • Integrate data from disparate data sources and hydrate into our Canadian Integrated Data Model (CIDM)
  • Ensure high level of data quality and data integrity are maintained in CIDM to be the trusted data source for business
  • Convert complex business and technical rules into logic for data flows and data pipelines
  • Work with our Data Science teams to implement Machine Learning pipelines
  • 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

What do you need to succeed?

  • 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.)
  • Demonstrate expertise in dimensional data modelling and passion for analytics
  • Proven track record in leveraging SQL and SQL-based programming to solve business problems
  • Intermediate- to expert-level programmatic expertise working with distributed (Hadoop, AWS) platforms
  • Ability to translate complex business requirements into a set of data ingestion pseudocode, schema-on-read topologies and/or dimensional models that are necessary inputs to data engineering exercises
  • Proven ability to leverage knowledge of data engineering to extract, conform and integrate a variety of operational data sources into production-grade data products
  • Familiarity with programming in Python, Scala, Java or equivalent
  • Demonstrate blend of tenacity, creativity, and discipline required to develop ground breaking self-serve data models that data scientists can consume
  • Excellent verbal and written communication skills; have executive presence and proven ability to partner with Data Scientists to articulate insights gleaned from the model and the underlying data

Education and Qualifications:

  • Undergraduate degree in Computer Science, Mathematics, Engineering, or equivalent
  • Graduate degree in business or quantitative science strongly preferred
  • 3-5 years hands-on experience working on Cloud Platforms (on AWS, Azure, etc.) with data processing and analytical tools such as Hive SQL, Apache Spark, AWS Glue, etc.
  • 5 years hands-on experience with relational database systems, data warehouses, dimensional models etc.


What would be nice to have?

  • Experience working in a large financial services organization
  • Knowledge of fundamental statistical models & techniques
  • Proven experience working in an agile pod (Scrum, Kanban, etc.)

What is in it for you?

  • Competitive salary and bonus structure influenced by market range data
  • Entitlement to flexible benefits and vacation
  • A friendly, collaborative and inclusive culture

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

We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

Salary Range:

67,400/67 400 – 110,100/110 100

Job Category:

Advanced Analytics

Posting End Date: