Senior Data Engineer I

at  Sun Life

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:

Come be part of an exciting and challenging opportunity by helping to accelerate the growth and application of data analytics capabilities at Sun Life Canada. As part of the Canada Finance Reporting Centre of Excellence, you will have the opportunity to be at the forefront of applying data and analytics to transform our financial reporting processes. You will be helping Sun Life use analytics to deliver on our purpose of helping our Clients achieve lifetime financial security and live healthier lives.
As a Data Engineer on the Canada Finance Reporting COE, your focus will be working with a team of financial professionals to build out a robust data environment to enable a suite of impactful business intelligence products and solutions to support financial operations within Canada. These products and services will allow Sun Life Canada’s Finance leaders to better analyze financial drivers and make data driven decisions.
Given the mandate of the role, the Data Engineer must be an experienced individual (1-3 years) who possesses a breadth of data management skills.

EDUCATION AND QUALIFICATIONS:

• Undergraduate degree in Computer Science, Mathematics, Engineering, or equivalent
• Graduate degree in business or quantitative science strongly preferred

UNIQUE REQUIREMENTS

• As a condition of the role, the successful candidate must obtain a Government of Canada Reliability Status security clearance through Sun Life in advance of the start date.

• Develop deep understanding of enterprise data, to enable end-to-end solutions
• Design and engineer data models with key financial business metrics (eg. Expenses, FTE, Sales)
• Maintain high level of data quality and integrity across data sources
• Convert complex business and technical rules into logic for data flows and data pipelines
• Collaborate with stakeholders and design data solutions for various use cases
• Standardize metadata into a common glossary with the necessary documentation