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Added 2 days ago
AS
Data Scientist, ADE Analytics
Amazon Science
Vancouver, BC
- Full-time
2+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
Added 2 days ago
T
Modelling / Forecasting Senior Analyst (Quants)
TD
Toronto, ON · Markham, ON
- Full-time
Strong technical knowledge and proficiency in programing languages, such as Python, SQL, SAS, and VBA. Familiarity with JSON and Scala is an asset.
Added 2 days ago
AI
Data Analyst (Contract, 6 months)
Ainsworth Inc
Mississauga, ON
- Full-time
Proficiency with Microsoft Excel, SQL, Power BI, Tableau, or similar analytics tools.
Added 2 days ago
RB
Senior Manager, ALM Market Risk
Royal Bank of Canada
Toronto, ON
- Full-time
Excellent knowledge of MS Office applications, especially Excel and PowerPoint. Familiarity with SQL and relational databases, as well as programming languages (Python and Visual Basic) and…
Added 2 days ago
HT
Senior Software Engineer (Full Stack)
Hudson Talent Solutions
Toronto, ON
- Full-time
Production experience with Node.js, Python, or Go.
Added 2 days ago
NB
Chief Analyst, Capital Transformation
National Bank of Canada
Montreal, QC
- Temporary
analysis and programming tools such as Python, SQL, SAS, Snowflake, VBA or
Added 2 days ago
S
Patient Experience iCare Exchange Integrations Engineer
Sanofi
Toronto, ON
- Full-time
…data integration solutions that connect our iCare platforms with various data sources, ensuring seamless data flow while maintaining the highest standards of security and compliance. Your…
Added 2 days ago
LC
Full Stack Developer II, Software Engineering
Loblaw Companies Limited
Brampton, ON
- Full-time
As a Full Stack Developer II, Software Engineering on the Data Management team, you will build and maintain high-data-volume applications that solve real business problems and improve how…
Added 2 days ago
R
Senior Manager, ALM Market Risk
RBC
Toronto, ON
- Full-time
Excellent knowledge of MS Office applications, especially Excel and PowerPoint. Familiarity with SQL and relational databases, as well as programming languages (Python and Visual Basic) and…
Added 2 days ago
R
Lead Full Stack Developer
RBC
Toronto, ON
- Full-time
This engineer will need to be very proficient in managing large sets of data, including excellent proficiency with ANSI-SQL querying structured and unstructured data sources (Snowflake,…
Added 2 days ago
R
Lead Financial Engineer, Software
RBC
Toronto, ON
- Full-time
Technical Skills: Proficiency in Python, R, or MATLAB for prototyping and data analysis. Familiarity with SQL and version control (Git).
Added 2 days ago
O
Principal, Total Portfolio Management Trading Desk
OPTrust
Toronto, ON
- Full-time
Strong programming abilities including Python, VBA, SQL.
Added 3 days ago
TS
IT Business Systems Engineer - Collaboration Tools & Analytics /Spécialiste des systèmes d'affaires TI - Outils de collaboration et analytique
TD SYNNEX North America
Mississauga, ON
- $70,000 to $85,000 CAD / year
- Full-time
The position also partners with development teams to troubleshoot production issues, support system enhancements, and ensure ongoing stability of internal tools, leveraging expertise in…
Added 3 days ago
T
Software Engineer I
TD
Toronto, ON
- Full-time
Languages & Framework- Spring Boot / Spring MVC / Restful API / Java 11 and above / Angular 9 and above, PL/SQL, Python
Added 3 days ago
T
Senior Salesforce Analyst, Marketing Delivery
TD
Toronto, ON
- Full-time
Leverage analytical tools including Python, PySpark, SQL, and Databricks to enhance campaign design, delivery, and measurement.
Added 3 days ago
MF
Senior Portfolio Analyst
Mackenzie Financial Corporation
Toronto, ON · Greater Toronto Area, ON
- Other
…analytics, reconciliation and data quality responsibilities with a stronger focus on automation, dashboard development, Python and SQL, and AI-enabled ways of working. The successful…
Added 3 days ago
RB
Lead Financial Engineer
Royal Bank of Canada
Vancouver, BC · Toronto, ON
- Full-time
Technical Skills: Proficiency in Python, R, or MATLAB for prototyping and data analysis. Familiarity with SQL and version control (Git).
Added 3 days ago
PA
Senior Developer, Data
Porter Airlines Inc.
Toronto, ON
- Full-time
Advanced SQ, Python,PySpark, sparkSQL skills with experience building complex transformations, optimization routines, and scalable data models, leveraging modern development practices and…
Added 3 days ago
M
Senior Full Stack Software Engineer - Capital Markets
Manulife
Toronto, ON
- Full-time
Hands-on experience with Docker, Kubernetes, Azure, SQL Server, and Databricks
Added 3 days ago
M
Agentic Engineer, Innovation
Manulife
Montreal, QC
- Full-time
Strong Python and SQL skills, with experience in AI application architecture, orchestration, retrieval, prompt design, evaluation, integration, and production monitoring.
Added 3 days ago
TM
Senior Fraud & AML Analyst
Toyota Motor Corporation
Toyota Credit Canada Inc - Head Office
- Full-time
…wholly-owned subsidiary of Toyota Motor Corporation in Japan with the Canadian operation headquarters in Markham,…
Added 3 days ago
QP
Data Quality and Controls Analyst
QuadReal Property Group
Toronto, ON
- Full-time
The ideal candidate combines hands-on SQL and data engineering knowledge with strong operational discipline and clear stakeholder communication. You’ll work closely with Business Data…
Added 3 days ago
LI
Senior Data Engineer
Livingston International
Toronto, ON · Etobicoke, ON
- Full-time
Strong proficiency in SQL and other programming languages commonly used in data engineering (e.g., Python, Apache).
Added 3 days ago
AA
Gestionnaire de projet en ingénierie / Project Manager, Engineering
Airbus Aircraft
Montreal, QC
- Full-time
Forte maîtrise de l'extraction, de l'analyse et de la visualisation de données (Excel/Google Sheets avance, SQL, Python, Qlik, Tableau, Apps Script, MS SQL, etc.);
Added 3 days ago
VC
Junior Business Advisor, Data & Analytics
Vancouver Coastal Health
Vancouver, BC
- $35.37 to $50.85 CAD / hour
- Full-time
Proficiency in data analysis tools such as Excel, SQL, and statistical software (e.g., R, Python) required.

Sanofi

Patient Experience iCare Exchange Integrations Engineer

Toronto, ON, Canada

Full-time

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Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Oct 16, 2026
Experience: Minimum 5 years of experience in data integration, data engineering, or similar roles.
Posting language: English
Posted: Oct 2, 2026

Original job description

Reference No. R2841709

Position Title: Patient Experience iCare Exchange Integrations Engineer
Department: Patient ENGINEERING Lead
Location: Toronto, ON - Hybrid - 3 days per week onsite - required.

About the Job

Join the digital engine driving Sanofi’s transformation - where AI, automation, and bold experimentation power faster science and smarter decisions. Here, you’ll help build the first biopharma company powered by AI at scale.

As a Patient Experience iCare Insights/Exchange Integrations Engineer at Sanofi, you will play a pivotal role in transforming patient data into actionable insights that drive better health outcomes. This position sits at the intersection of data engineering, analytics, and patient focused healthcare innovation. You will be responsible for designing and implementing robust data integration solutions that connect our iCare platforms with various data sources, ensuring seamless data flow while maintaining the highest standards of security and compliance. Your work will directly impact Sanofi's ability to deliver personalized patient experiences and support data-driven decision making across the organization.

About Sanofi:
We’re an R&D-driven, AI-powered biopharma company committed to improving people’s lives and delivering compelling growth. Our deep understanding of the immune system – and innovative pipeline – enables us to invent medicines and vaccines that treat and protect millions of people around the world. Together, we chase the miracles of science to improve people’s lives.

Main Responsibilities

Drive the design of conceptual data models for analytical reporting and talk-to-data solutions that enable meaningful patient insights.
Implement and maintain data security best practices across all systems, ensuring protection of sensitive patient information.
Guide development teams toward industry best practices and standards for data integration, quality, and governance.
Conduct periodic code reviews to ensure quality, performance, and compliance with established standards.
Provide DevOps enablement skills and support CI/CD processes to streamline development and deployment workflows.
Design, develop, and maintain data integration solutions using IICS, Snowflake, AWS, and other relevant technologies.
Ensure strict compliance with Data Privacy regulations, Patient Data Security protocols, GDPR requirements, and other regulatory frameworks including data residency requirements.
Collaborate with cross-functional teams including clinical, regulatory, IT, and business stakeholders to understand data needs and deliver appropriate solutions.
Optimize system performance and troubleshoot complex data integration issues.
Create and maintain comprehensive technical documentation for all integration solutions.
Support data governance initiatives to ensure data quality, consistency, and reliability.
Participate in architecture reviews and technical planning sessions to align integration strategies with business objectives.
Monitor and evaluate emerging technologies and methodologies to continuously improve data integration capabilities.
Develop and implement data validation processes to ensure accuracy and completeness of integrated data.
Ability to drive Drive Data Mesh adoption to empower business domains with decentralized data ownership while ensuring interoperability and governance at scale.
Deploy enterprise-grade agentic solutions using Snowflake Cortex to enable self-service analytics through conversational AI, natural language data exploration, and intelligent query assistance.
Good to have: Design multi-agent architectures incorporating Model Context Protocol (MCP), retrieval-augmented generation, vector embeddings, agent orchestration frameworks, and observability tools for enterprise-grade autonomous AI solutions.

About You

Bachelor's degree required; advanced degree (MS, MBA) preferred.
Minimum 5 years of experience in data integration, data engineering, or similar roles.
Expert-level proficiency in Informatica Intelligent Cloud Services (IICS), Python, Snowflake, and AWS cloud services and architecture.
Strong understanding of data security principles and implementation of security best practices.
Comprehensive knowledge of data privacy regulations including GDPR and healthcare data protection requirements.
Experience with data residency requirements and cross-border data transfer regulations.
Proficiency in SQL and database design principles.
Experience with CI/CD pipelines and DevOps practices.
Strong analytical and problem-solving skills.
Excellent communication skills and ability to translate technical concepts to non-technical stakeholders.
Ability to influence senior leadership and navigate complex stakeholder environments.
Advanced skills in Agile delivery, product collaboration, compliance, and digital strategy.
Fluent in English; an additional language is a plus.

Preferred Qualifications

Experience with SQLDBM for database modelling and documentation.
AWS certifications.
Snowflake certifications.
Experience in healthcare or pharmaceutical industry.
Knowledge of clinical data standards (CDISC, HL7, FHIR).
Experience with data visualization tools (Power BI, Tableau).
Background in implementing data governance frameworks.
Experience with master data management solutions.

Technical Skills Required

Data Integration: IICS, ETL/ELT methodologies, API integration.
Cloud Platforms: AWS (S3, Lambda, Glue).
Data Warehousing: Snowflake architecture, performance and cost optimization.
Programming: SQL, Python, Shell scripting.
Security: Data encryption, access controls, authentication mechanisms.
DevOps: CI/CD pipelines, Infrastructure as Code, containerization.
Data Modelling: Conceptual, logical, and physical data modelling.
Version Control: GitHub/GitLab.
Documentation: Technical writing, data dictionaries, process flows.

Why Choose Us?

Bring the miracles of science to life alongside a supportive, future-focused team.
Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally.
Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.
Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs

Applications received after the official close date will be reviewed on an individual basis.

This position is for a new vacant role that is now open for applications.

AI Usage

"Artificial Intelligence” refers to any systems that use automated processes, including algorithms and machine learning, to analyze data and make predictions, inferences, decisions, or recommendations without direct human involvement. These systems may process personal information to identify patterns, improve services, or support decision-making. The Company may use Artificial Intelligence for purposes including, but not limited to, resume screening and hiring, scheduling interviews or meetings, conducting surveys, matching skills with potential job openings, interview scoring, ensuring compliance with regulations applicable to our industry, and activities related to performance evaluation. Information collected and processed by the Company’s Artificial Intelligence systems may include the personal information detailed above and calendar availability. It excludes the information collected and processed for monitoring purposes. You should contact Human Resources if you have a question or concern regarding your personal information. You can also contact Canada’s Privacy Officer via Sanofi’s data subject request portal, Data Subject Rights Webform. The Data Subject Rights Webform can also be used to request access or correction of your personal information and file a complaint.

Sanofi is an equal opportunity employer committed to diversity and inclusion. Our goal is to attract, develop and retain highly talented employees from diverse backgrounds, allowing us to benefit from a wide variety of experiences and perspectives. We welcome and encourage applications from all qualified applicants. Accommodations for persons with disabilities required during the recruitment process are available upon request.

#GD-SP

#DBBCA

Pursue progress, discover extraordinary

Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.

At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.

Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!

North America Applicants Only

The salary range for this position is:

102,600.00 - 152,600.00 (Includes target bonus)

Final compensation will be determined based on demonstrated experience, skills, location, and other relevant factors. Employees may be eligible to participate in Company employee benefits programs, and additional benefits information can be found through the (CA)LINKOR (US) LINK.

La fourchette salariale pour ce poste est la suivante:

102,600.00 - 152,600.00 (Comprend le bonus cible)

La rémunération finale sera déterminée en fonction de l'expérience démontrée, des compétences, du lieu de travail et d'autres facteurs pertinents. Les employés peuvent être admissibles à participer aux programmes d'avantages sociaux de l'entreprise, et des informations supplémentaires sur les avantages sociaux peuvent être trouvées via le lien

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More about this job

Responsibilities

Design and implement robust data integration solutions connecting iCare platforms with various data sources to ensure seamless data flow. Collaborate with cross-functional teams to transform patient data into actionable insights while maintaining strict security and compliance standards.

Requirements

Requires a bachelor's degree and at least 5 years of experience in data integration or engineering. Candidates must possess expert-level proficiency in IICS, Python, Snowflake, and AWS cloud services.

Skills

Informatica Intelligent Cloud Services
Snowflake
Python
AWS
Data integration
Data engineering
SQL
Data security
CI/CD
DevOps
Data modeling
Data governance
GDPR
API integration
Cloud architecture
Data mesh

Benefits

Health insurance
Prevention and wellness programs
Growth opportunities
Rewards package

Visa sponsorship

Not detected in the job text

Keywords

IICS
Snowflake
Python
AWS
Data integration
Data engineering
SQL
Data security
GDPR
CI/CD
DevOps
Data mesh
Snowflake Cortex
Conversational AI
Data governance
Data modeling
API
Healthcare
Pharmaceutical
Clinical data
HL7
FHIR
Power BI
Tableau
Master data management
Agentic solutions
Retrieval-augmented generation
Vector embeddings
Observability
Data residency

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