Vous êtes aussi unique que votre parcours, votre expérience et votre point de vue. Ici, vous serez encouragé, habilité et défié à être à votre meilleur. Vous travaillerez avec des collègues dynamiques – des experts dans leurs domaines – qui sont désireux de partager leurs connaissances avec vous. Vos leaders vous inspireront et vous aideront à atteindre votre potentiel et à vous envoler vers de nouveaux horizons. Chaque jour, vous aurez de nouvelles et passionnantes occasions de rendre la vie plus brillante pour nos Clients – qui sont au cœur de tout ce que nous faisons.
Chez Sun Life, nous sommes guidés par notre Raison d'être : aider nos Clients à réaliser la sécurité financière à vie et à vivre une vie plus saine. Nos valeurs façonnent notre façon de travailler : bienveillance, authenticité, audace, inspiration et impact.
Quand vous vous joignez à Sun Life, vous travaillez avec des collègues passionnés et des leaders habilitants qui soutiennent votre croissance et célèbrent vos contributions, afin que vous puissiez faire une différence significative dans la vie de nos Clients.
Découvrez comment vous pouvez faire une différence dans la vie des personnes, des familles et des communautés du monde entier.
Description de poste:
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 presence and 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.
L'étendue du salaire de base s'applique au lieu principal pour lequel l'emploi est affiché. Elle peut varier en fonction du lieu de travail du candidat retenu ou d'autres facteurs. En plus du salaire de base, les employés admissibles de Sun Life participent à divers régimes d'encouragement dont le paiement est discrétionnaire et assujetti au rendement individuel et à celui de l'entreprise. Certains rôles axés sur les ventes comportent des régimes d'encouragement à la vente basés sur les résultats des ventes individuelles ou de groupe.
La diversité et l'inclusion ont toujours été au cœur de nos valeurs chez Sun Life. Une main-d'œuvre diversifiée avec des perspectives variées et des idées créatives profite à nos Clients, aux communautés où nous opérons et à nous tous comme collègues. Nous accueillons les demandes de personnes qualifiées de tous les milieux.
Les personnes handicapées qui ont besoin d'accommodements dans le processus de demande ou celles qui ont besoin d'offres d'emploi dans un format différent peuvent envoyer une demande par courriel à [email protected] .
Nous sommes fiers d'être une organisation hybride qui offre à nos employés le choix et la flexibilité de travailler à la fois au bureau et virtuellement en fonction des besoins de l'entreprise, de nos Clients et de vous.
Nous pouvons utiliser l'intelligence artificielle pour soutenir la recherche de candidats, le filtrage et la planification des entrevues.
Nous remercions tous les candidats d'avoir manifesté de l'intérêt pour ce poste. Seuls les candidats sélectionnés pour une entrevue seront contactés.
Échelle salariale :
80,000/80 000 - 128,000/128 000
Catégorie d'emploi :
Advanced Analytics
Fin de l'affichage :
10/08/2026
