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:

Join a team transforming Security Analytics at Sun Life and contribute to a global analytics initiative focused on strengthening the security of Client data. Sun Life’s Information Security organization is enhancing its data engineering, platform, analytics, and insights capabilities through current tools and, most importantly, new talent.

As a member of the Security Analytics team, you will play a pivotal role in working closely with our partners to enable threat intelligence, internal threat identification, predictive modelling, business intelligence and deep dive analytics to understand and identify new threats and incidents to make client data safer. As Data Engineer you will join a team that leverages and is on a journey of quickly enhancing our Big Data and Cloud capabilities to enable various use cases by ensuring there is a solid data foundation in place to support data mining, strategic insight and automated capability enablement.

Given this mandate, the role requires an experienced data specialist with 5+ years of expertise in data management, a strong understanding of analytics and business data needs, and knowledge of emerging data technologies. Candidates must have relevant experience in the following areas:

- Data Management – Experience in design, development, and production support

- Data and Analytics Knowledge – Understanding of data requirements for analytics usecases

- Business, Analytics, and IT Liaison – Cross function experience

- Data Discovery – Ability to scope new data sources, understand and leverage existing ones

- Security Logs – Understanding of security-related data sources and log types

- Cloud Tools – Exp with cloud data warehouses, data pipelines, and ETL tools; AWS preferred

The successful candidate for the role will be a key player in our venture towards creating a central place for user behavior and keeping Sun Life secure from data exfiltration, malicious activities and threats as we standardize and enhance our advanced data engineering environment on AWS.

What your will do:

- Maintain a large, complex data repository that provides accurate, reliable data for user behavior analytics, reporting, and insights.




- Develop jobs (Glue/Lambda using Python) to parse new logs into usable data formats.
- Build user data model that enables easy access to user data and behavioral insights.
- Strengthen the organization’s understanding of user-level data and provide expert guidance on using it to generate actionable insights.
- Manage and fulfill business data requests, ensuring alignment with Information Security priorities and stakeholder needs.
- Demonstrate business value through proofs of concept (PoCs) and transition successful PoCs to production.
- Collaborate within an agile team to understand objectives and develop best-in-class data solutions that deliver engaging, highly relevant experiences.
- Provide expert guidance on the structure and processes needed to build a data repository, including ETL, quality assurance, and data modeling.Serve as a data and technology expert within an agile environment, prioritizing work and managing the data platform.
- Support the initial development of analytical data models, including SQL/HQL/Python/Spark/Scala code and data processes.
- Develop and maintain metadata documentation.
- Manage, maintain, and continuously improve data models.
- Productionize and run data models, dashboards, reports, and ad hoc data requests.
- Help develop data capabilities aligned with the Enterprise Analytics initiative roadmap.
- Collaborate with IT and Information Security teams to improve data processes and incorporate new data as needed.
- Serve as a leading information security data expert and data steward, ensuring data is interpreted and applied appropriately to use cases and challenges.
- Support modelers in developing datasets for analysis.
- Manage or coordinate small to medium projects from initiation and planning through requirements, implementation, and post-implementation review.
Mentor junior team members.

What you need to succeed:

- Bachelor’s Degree in a highly quantitative field (Computer Science, Statistics, Mathematics, etc.) or 5+ years of relevant experience in data and analytics/modelling
- Strong communication skills, with the ability to explain complex data concepts to non-technical audiences and analytics concepts to IT audiences
- Thorough knowledge of and demonstrated experience with data management best practices, including importing, cleaning, transforming, validating, quality assurance, and data modelling
- Expert-level programming and database associated development skills, with 5+ years of experience required
- At least intermediate proficiency in Python, Spark, Glue, Lambda, HQL or similar technologies; Java or another object-oriented programming language is an asset
- Demonstrated experience in data preparation, querying, and reporting
- Demonstrated data modelling skills and experience
- Additional professional development in information technology, business, statistics, or related disciplines
- Adaptable and effective at managing competing demands, frequent changes, and delays
- Organized, accountable, and committed to meeting deadlines and commitments
- Agile team members have demonstrated the ability to:
- Take ownership




- Make timely decisions that accelerate data POCs into production
- Drive execution from ideation through development and delivery
- Collaborate with teammates to develop insights into business problems
Advocate for the client by applying insights to drive meaningful marketing tactics

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 needs to choose where you work, at home or in the office

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 :

100,000/100 000 - 143,000/143 000

Catégorie d'emploi :

Services technologiques - TI

Fin de l'affichage :

03/11/2026

📌 Senior Data Engineer (Toronto)
🏢 Sun Life
📍 Toronto