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Canadian Cancer Society

Data Engineer

Montreal, QC, Canada

Salary Band: 5 ($83,000 - $93,000 CAD) · Full-time

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Job details

Pay: Salary Band: 5 ($83,000 - $93,000 CAD)
Job type: Full-time
Apply by: Dec 6, 2026
Experience: 3-5 years – similar or related general experience in progressively more senior positions
Posting language: English
Posted: Nov 6, 2026

Original job description

Job Title: Data Engineer

Vacancies: This posting is for (1) current vacancies

Location: Toronto, ON | Vancouver, BC | Ottawa, ON | Calgary, AB | Halifax, NS | St John's, NL | Kelowna, BC| Prince George, BC | Montreal, QC | Québec, QC (Detailed office location information can be found by visiting this link: https://cancer.ca/en/contact-us)

Work Model: Hybrid Work Model

Salary Band: 5 ($83,000 - $93,000 CAD)

HELP SHAPE THE FUTURE OF CANCER CARE IN CANADA

The Canadian Cancer Society works tirelessly to save lives, improve lives and drive collective action against cancer. Together with patients, volunteers, donors and communities across the country, we raise funds to invest in transformative cancer research, we provide a caring support system for everyone affected by cancer and we advocate to governments to create a healthier future for all. It takes a society to take on cancer – and the Canadian Cancer Society is leading the way

Join an exceptional team of Digital Strategy & Technology professionals helping to power the Canadian Cancer Society’s (CCS) operations and fuel our mission through innovative digital solutions. The Digital Strategy & Technology team is at the forefront of CCS’s digital transformation. Together, they are harnessing digital tools, data, and technology to boost fundraising capabilities and enhance the experience of everyone who interacts with us online. With a passion for continuous improvement and a commitment to making an impact, the team ensures CCS’s digital presence is strategic and engaging, helping us inspire and empower more Canadians who care about cancer every day.

MAKING AN IMPACT

Reporting to the Senior Manager, Data Engineering & Services, the Data Engineer is involved in designing, developing, maintaining and optimizing data platform services, meta-data driven data pipelines and data solutions using the organization’s data platforms and technologies.

Deliver scalable, automated, and maintainable data pipelines, integrations, and services using modern cloud technologies and platforms.
Partner with business and technical teams to design and implement data solutions that adhere to security best practices and align with data governance standards.
Support a data-driven, innovation-focused engineering environment by applying modern design patterns and leveraging emerging technologies to improve how data is integrated, governed, and utilized across the organization.

What You’ll Be Doing

Data Engineering & Platform Development

Data Pipelines

Design, implement, and optimize data ingestion and transformation processes using Microsoft Fabric (Data Pipelines, Dataflows, and Notebooks)
Develop end-to-end ETL/ELT workflows for structured and unstructured data
Automate and orchestrate data workflows for efficiency and reliability

Data Lakehouse

Implement Data Lakehouse architecture leveraging modern data standards
Design and optimize data models using medallion architecture
Optimize storage and processing solutions for performance and cost-effectiveness

Data Transformation

Develop data transformations using Apache Spark in Fabric Notebooks for cleansing, aggregation, and enrichment
Optimize Spark workloads, queries, and configurations for performance tuning
Support legacy data platforms and integration processes as required

Data Analytics

Build reusable, high-quality datasets and data assets for reporting and insights

2. Integrations & Data Pipelines

Data Workflows

Develop and maintain data integrations with Azure data services, external systems, and reporting platforms
Implement data ingestion processes across batch and real-time workflows
Develop transformation framework to support data movement and processing across systems
Automate data workflows and integration processes to improve efficiency and reliability

Collaboration And Documentation

Coordinate with business and technical teams to translate integration requirements into scalable data solutions
Support data consistency and relationships across systems through integration and data processing workflows
Develop and maintain integration documentation, including data mappings and data models
DevOps & Support

Build And Release Management

Develop and maintain CI/CD pipelines using Azure DevOps for data platform solutions
Support source control, branching strategies, and automated deployment processes
Contribute to infrastructure as code, orchestration, and deployment of data pipelines and services

Operations And Reliability

Implement monitoring, logging, and alerting for data pipelines and integrations
Support performance optimization and operational reliability of data solutions
Support data lifecycle processes including archiving, backup, and replication across key platforms
Participate in Agile development processes, including sprint planning and iterative delivery
Data Governance & Quality

Governance And Security

Apply data governance, compliance, and data quality standards when developing and delivering data pipelines and integrations
Support lineage and metadata management using tools such as Microsoft Purview
Implement and support data security controls aligned with organizational compliance standards

Data Quality

Perform data quality validation and monitoring across data pipelines and datasets
Support adherence to established data policies, standards, and best practices
Other
Contribute to our culture of diversity, inclusion, belonging and equity (DIBE) by ensuring that all staff feel represented, valued, and heard across all aspects of their identity, including gender, age, religion, ethnicity, nationality, race, and sexuality.
Other duties as assigned

Qualifications

Education / Experience:

Bachelor’s or Master’s degree in computer science, information Systems, Data Engineering or related disciplines
Relevant certifications preferred (e.g., Microsoft Certified Frabric Analytics Engineer Associate, DP-203 Azure Data Engineer Associate)
3-5 years – similar or related general experience in progressively more senior positions

Technical Skills

Strong proficiency in Microsoft Fabric platform components (Data Pipelines, Notebooks, Lakehouse, OneLake)
Expertise in Apache Spark, data pipelines and data transformation frameworks
Knowledge of data architecture and data modeling (Delta Lake architecture, Lakehouse design patterns, and medallion design pattern)
Expertise in SQL for data querying, transformation, and pipeline development
Proficiency in Python for data engineering, automation, and pipeline development
Experience with software engineering for cloud platforms (Python, serverless)
Experience with system integrations, APIs, and data pipelines across cloud and enterprise systems
Experience working with CRM platform data and services (Salesforce preferred)
Others may apply

Operational Excellence

Familiarity with DevOps practices including CI/CD pipelines, version control, and automation frameworks
Experience implementing monitoring, logging, and alerting practices to ensure reliability and performance of data pipelines and services
Commitment to engineering best practices including code quality, testing, documentation, and continuous improvement of data workflows
Experience with scripting languages for automation and operational tasks
Experience developing and maintaining automated testing frameworks for data pipelines and solutions

Analytical Skills / Communication Skills

Demonstrated ability to align technical deliverables with organizational strategy and business goals
Strong troubleshooting, performance optimization, and problem-solving skills
Strong verbal and written communication skills
Ability to coordinate with technical and non-technical stakeholders effectively
Thrives in a fast-paced, dynamic environments with shifting priorities
Bilingualism (French/English) is highly preferred, with French being an asset due to the organization’s nationwide operations and the need for effective communication across various regions.

What You Can Expect From Us

CCS provides impactful opportunities to transform the lives of Canadians affected by cancer. We are devoted to creating an inclusive workplace that celebrates diverse experiences and skills, encouraging all qualified candidates to join us. Our inspiring culture is rooted in our core values and commitment to meaningful change: COURAGEOUS UNITED CARING RIGOROUS

We offer a competitive salary, excellent benefits, including paid parental leave, family sick time, and health insurance - and a fulfilling work environment where your efforts make a meaningful impact daily.

COME AS YOU ARE

At CCS, we celebrate individuality and the strength of diversity. We are committed to fostering an inclusive and equitable workplace that empowers everyone. We encourage applications from all qualified candidates, including those from equity-deserving groups such as BIPOC, 2SLGBTQI+ communities, individuals with disabilities, veterans, and others who contribute to the richness of our organization. Together, we unite Canadians to shape the future of cancer care.

How To Apply

Qualified candidates are invited to submit their resume, cover letter and salary expectations by November 20, 2026.

We thank all candidates for their interest and advise that only those selected for an interview will be contacted.

Other Information

CCS is dedicated to employment equity and encourages applications from all qualified candidates . In accordance with the local provincial Accessibility Act, accommodation will be provided as requested throughout the recruitment process . We want to make the interview process a great experience for you!

Please note that in keeping with the mandate of CCS to model and promote healthy lifestyles , employees are not permitted to smoke in or about CCS premises or while carrying out CCS business.

Privacy Disclosure

We collect your personal information through forms, by phone or in person to evaluate your candidacy for the role(s) you have applied for, to contact you regarding your candidacy, and to generate anonymized recruitment-related reports. If selected for a position at CCS the information provided will be used for the purposes of pre-employment checks and added to your employee file. We may share your personal information with third parties, including recruitment consultants, within or outside your province or territory or outside Canada to carry out the purposes identified above, or as required by law. We may contact you by mail, email, phone or text. You can exercise your right to access your information or have it corrected, unsubscribe from communications or withdraw your consent by selecting these options within the ADP system, or by contacting privacy@cancer.ca . For more information about our privacy practices, visit cancer.ca/privacy.

AI Disclosure

We are committed to transparency and, the responsible use of technology in our hiring process. Artificial intelligence (AI) tools may be used to assist with certain administrative or screening tasks; however, all hiring decisions are made by people. We review and approve AI-assisted outputs to ensure fairness, accuracy, and alignment with our values. For more information about our privacy practices, visit cancer.ca/privacy .

Connect With Us

LinkedIn | Facebook | YouTube | Bluesky

#IND

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More about this job

Responsibilities

Design, develop, and optimize scalable data pipelines, lakehouse solutions, integrations, and reusable datasets using Microsoft Fabric, Spark, and Azure services. Maintain reliable and secure data operations through CI/CD, monitoring, data governance, quality controls, and collaboration with business and technical teams.

Requirements

A bachelor's or master's degree in computer science, information systems, data engineering, or a related discipline is sought, along with 3–5 years of relevant experience; related certifications are preferred. Candidates should have strong Microsoft Fabric, Spark, SQL, Python, data architecture, integration, DevOps, and communication skills, with French-English bilingualism preferred.

Skills

Microsoft Fabric
Apache Spark
Data Pipelines
ETL/ELT
Data Lakehouse Architecture
Medallion Architecture
SQL
Python
Data Modeling
Azure Data Services
System Integrations
APIs
Azure DevOps
CI/CD
Microsoft Purview
Data Governance

Benefits

Paid Parental Leave
Family Sick Time
Health Insurance

Visa sponsorship

Not detected in the job text

Keywords

Microsoft Fabric
Data Pipelines
Dataflows
Fabric Notebooks
OneLake
Apache Spark
SQL
Python
ETL/ELT
Data Lakehouse
Delta Lake
Medallion Architecture
Azure Data Services
Azure DevOps
CI/CD
Microsoft Purview
Data Governance
Data Quality
Metadata Management
Data Lineage
Salesforce
APIs
System Integrations
Cloud Platforms
Serverless
Infrastructure as Code
Monitoring and Alerting
Automated Testing
DP-203 Azure Data Engineer Associate
Microsoft Certified Fabric Analytics Engineer Associate

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