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Added 19 mins ago
Y
Site Reliability Engineer
Yochana
Toronto, ON
- Contract
Collaborate with engineering, cloud, and security teams to improve platform resiliency.
Added 51 mins ago
KC
Site Reliability Engineer
KPMG Canada
Vaughan, ON
- Full-time
The OPS Site Reliability Engineer will be a focal role owning and ensuring the fluent operations of Managed Services offerings in the KPMG production cloud environment. The role will be…
Added 51 mins ago
DI
Senior IT Security Engineer
Draganfly Inc.
Burnaby, BC
- $120,000 to $140,000 CAD / year
- Full-time
The Senior IT Security Engineer builds, operates, and improves security across Draganfly’s cloud-first IT environment. This hands-on role combines Microsoft 365 and cloud security…
Added 51 mins ago
B
Senior Software Engineer - Trading Technology
BettingJobs
Toronto, ON
- Full-time
BettingJobs is working with a fast-growing sports betting technology business to recruit a Senior Software Engineer for its Trading Technology team. You'll build the backend engines behind…
Added 51 mins ago
T
Senior Data Engineer
TekRek
Montreal, QC
- $140,000 to $160,000 CAD / year
- Full-time
As a Senior Data Engineer, you'll own data platform design and delivery for client engagements, from scoping and architecture through to production. You'll work directly with client…
Added 51 mins ago
T
Senior Data Engineer || Ottawa/Toronto || Local only
TestingXperts
Toronto, ON
- Contract
· Previous experience leading an enterprise-wide Cloud Data Platform migration with strong architectural and design skills.
Added 1 hour ago
BC
Senior Manager, Data & AI
BDO Canada
Vancouver, BC
- Full-time
Experience with modern Data & AI technologies such as Microsoft Fabric, Azure Databricks, Snowflake, dbt, Power BI, Microsoft Purview, Azure Data Factory, Azure Synapse, Azure Machine…
Added 1 hour ago
R&
Senior Azure Cloud Platform Engineer
Robertson & Company Ltd.
Toronto, ON
- Contract
Robertson is seeking a skilled Senior Azure Cloud Platform Engineer to join our client in support of an existing vacancy.
Added 1 hour ago
CS
Java developer
Cyber Space Technologies LLC
Montreal, QC
- Full-time
Knowledge of cloud platforms (AWS, Azure, or GCP).
Added 1 hour ago
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Senior Cloud Systems Engineer (CI/CD & Data Platform)
Numeris
Toronto, ON
- Full-time
Numeris is seeking a Senior Cloud Systems Engineer to lead the design, automation, and operation of enterprise cloud platforms across AWS and Azure. This role combines deep expertise in…
Added 1 hour ago
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Enterprise Cloud & Platform Engineer
Numeris
Toronto, ON
- Full-time
The Enterprise Cloud & Platform Engineer is responsible for the design, implementation, administration, continuous improvement, security, and operation of enterprise cloud, network,…
Added 1 hour ago
AS
Site Reliability Engineer
Ardent SoftSol Inc.
Calgary, AB
- Contract
This is an active and ongoing hiring requirement for a SRE Engineer, We are specifically looking for Developers or Core SRE Application Support professionals. This position is based in…
Added 1 hour ago
SD
Full Stack AI Engineer
Symbiotic Digital
ON · Downtown Toronto (Central Bay Street), Ontario
- Contract
We are seeking a Full Stack AI Engineer with demonstrated
Added 2 hours ago
Y
SRE Engineer
Yochana
Calgary, AB
- Full-time
The Wealth Management Production Management Site Reliability Engineer position is a highly visible/critical role, which will be a team member of technical SMEs managing the stability and…
Added 2 hours ago
MP
Lead Data Engineer
Municipal Property Assessment Corporation
Pickering, ON
- Full-time
Hands-on experience with enterprise cloud data engineering technologies and programming languages such as SQL, Python, Java, Groovy, Spring Boot, Spark, Microsoft Fabric, Databricks, Azure…
Added 2 hours ago
H
AI Solutions Architect
Hays
Toronto, ON
- Contract
…role primarily designs AI and agentic solutions on Microsoft Azure, with exposure to Google Cloud Platform where…
Added 2 hours ago
E
Senior Data Engineer (banking Domain)
E-Solutions
Toronto, ON
- Contract
· Previous experience leading an enterprise-wide Cloud Data Platform migration with strong architectural and design skills.
Added 2 hours ago
B
Data Engineer/Technical Architect
BullTechSystem
Toronto, ON
- Full-time
…requirement and also architect modern data warehouse, data lakes, and cloud-based data plat form using ETL, Azure, ADF, Databricks, big data and…
Added 2 hours ago
Sr Associate Platform Engineer
Scotiabank
Toronto, ON
Contributes to the overall success of the Senior Associate Cloud Platform Engineering function by ensuring long‑term technical vision and roadmap is defined and maintained, focusing on…
Added 2 hours ago
Agentic AI Software Backend & Platform Engineer
Siemens
Kitchener, ON
Experience with a major cloud platform (Azure preferred; Azure OpenAI a plus)
Added 3 hours ago
Bilingual Senior Specialist, Software Engineering (Environment Management)
CMHC - SCHL
Ottawa, ON · Montreal, QC
Join the Platform Engineering team, in the Senior Specialist, Software Engineering & Environment Management position, where we’re modernizing how CMHC builds and operates software…
Added 3 hours ago
Dynamics/Powerplatform engineer
Capgemini
Montreal, QC
We are looking for a Senior Microsoft power platform Engineer, who is familiar with AI Builder and Co-Pilots as well as Dynamics and Power Apps. The ideal candidate will have experience…
Added 3 hours ago
AG
Kubernetes (K8s) / HPC Engineer
Axiom Global Technologies
Canada
- Contract
Deploy and manage cloud-native infrastructure on platforms such as Azure AKS, AWS EKS, and Google Kubernetes Engine (GKE).
Added 3 hours ago
PL
Infrastructure Engineer – Network, Security & IoT/OT
PineQ Lab Technology
Montreal, QC
- Contract
Cloud (AWS, Azure, GCP vulnerability posture)
Added 3 hours ago
RD
Full Stack Engineer
Randstad Digital
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Cloud & Microservices: Hands-on experience building, migrating, or transforming legacy systems to public or private cloud environments (AWS, Azure, GCP) using RESTful microservices and…

National Research Council Canada

Data Science Engineer

Ottawa, ON, Canada

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Applications open in a new tab.

Job details

Apply by: Oct 20, 2026
Posting language: English
Posted: Oct 5, 2026

Original job description

Priority may be given to the following designated employment equity groups: women, Indigenous Peoples* (First Nations, Inuit and Métis), persons with disabilities and racialized persons*.

* The Employment Equity Act, which is under review, uses the terminology Aboriginal peoples and visible minorities.

Candidates are asked to self-declare when applying to this hiring process.

City: Ottawa

Organizational Unit: Digital Technologies

Classification: CS-3

Tenure: Term

Duration: 2 years

Language Requirements: English or French

Work arrangements:

Due to the nature of the work and operational requirements, this position may be eligible for a limited hybrid work arrangement (combination of working onsite and telework).

At the NRC, we recognize that Indigenous candidates may have important connections to their communities and you may be eligible for an exception to this work arrangement. Alternative work arrangements may also be considered to accommodate candidates as required. To learn more about these options, please contact the NRC Hiring team using the contact information below.

Discover the possible

Anything is possible at the NRC, named in 2026 one of Canada’s Top Employers for Young People, Top Employer in the National Capital Region and Forbes Canada’s Best Employers!

As Canada’s largest research and innovation organization, our world-renowned research pushes the boundaries of science and engineering to make the impossible, possible. Every day we explore new ideas through innovative research and help companies discover possibilities that impact Canada’s future and the world.

At the NRC, you’ll also discover new possibilities. Our supportive workplace fosters a culture of creativity, welcoming fresh perspectives and innovation at all levels. We value teamwork. You’ll collaborate across multiple fields and with the brightest minds to find creative solutions. Most importantly, you’ll discover what’s possible within you as you grow, make valuable contributions and progress in your professional journey. From ground-breaking discoveries to a life-changing career, discover your possible at the NRC.

The role

We are looking for a Data Science Engineer to support our Digital Technologies research Centre (DT). The Data Science Engineer would be an employee who shares our core values of Integrity, Excellence, Respect and Creativity.

Under the direction of the Team Leader, Data Analytics Centre, the incumbent will contribute to the provision of data analytics services to external clients and NRC.

The Data Science Engineer will work alongside our data scientists to support the development of custom machine learning models and other data products for clients. They have an understanding of data science workflows as well as technical expertise pertaining to solution architectures and data engineering that will support project development and delivery to clients. The roles and responsibilities of the incumbent Data Science Engineer may include:

Collaborate with data scientists, AI researchers, and client stakeholders to define technical strategies and implementation plans to address client business challenges.
Develop scalable, secure, and maintainable solution architectures that enable clients to adopt, test, and operationalize AI and data-driven technologies.
Build and maintain data ingestion, transformation, storage, and access layers to support machine learning, analytics, visualization, and decision-support applications.
Package AI and data science prototypes into usable client-facing solutions, including web applications, dashboards, APIs, containers, documentation, and deployment-ready components.
Lead the development of key technical components within multidisciplinary projects, ensuring alignment with project objectives, client requirements, security expectations, and operational constraints.
Troubleshoot and resolve technical issues related to data pipelines, application components, integrations, infrastructure, and deployment environments.
Evaluate emerging tools, frameworks, and architectural patterns in data engineering, AI enablement, and data science platforms, and advise project teams on their practical use.
Communicate technical concepts, architecture decisions, risks, and trade-offs clearly to both technical and non-technical stakeholders.
Produce technical documentation, architecture diagrams, deployment guides, data pipeline documentation, and user-oriented materials to support knowledge transfer to clients.
Help define reusable patterns, templates, tools, and platform components that improve the team’s ability to deliver AI and data science solutions efficiently.

Screening criteria

Applicants must demonstrate within the content of their application that they meet the following screening criteria in order to be given further consideration as candidates:

Education

A Master’s degree from a recognized university in Computer Science, Computer Engineering or closely related to science, technology, engineering, and mathematics (STEM) fields
A Bachelor’s degree in Computer Science, Computer Engineering or closely related STEM field with related work experience may be considered.

For information on certificates and diplomas issued abroad, please see Degree equivalency

Experience

Significant experience designing, developing, and maintaining data pipelines, including data ingestion, transformation, validation, storage, and/or access layers.
Significant experience developing backend systems, APIs, or services that support data-intensive applications, analytics platforms, or AI-enabled solutions.
Significant experience building client-facing solutions, such as web applications, dashboards, APIs, containers or analytical tools.
Experience working in a multidisciplinary team involving data scientists and supporting their work

Assets:

Experience with cloud platforms such as Azure, AWS, or Google Cloud.
Experience working directly with government, public sector, industrial, or enterprise clients

Condition of employment

Reliability Status

For a Reliability Status, verification of background information over a period of 5 years is required.

Language requirements

English or French

Information on language requirements and self-assessment tests

Assessment criteria

Candidates will be assessed on the basis of the following criteria:

Technical competencies

Strong knowledge of data structures including retrieval of data from relational (SQL) and non relational databases.
Proficiency in using Generative AI at work.
Proficiency in Python or R.
Knowledge of mathematics and statistics

Behavioural competencies

Research Technician/Technologist - Communication (Level 3)
Research Technician/Technologist - Client focus (Level 3)
Research Technician/Technologist - Teamwork (Level 3)
Research Technician/Technologist - Creative thinking (Level 3)
Research Technician/Technologist - Results orientation (Level 3)

Competency Profile(s)

For this position, the NRC will evaluate candidates using the following competency profile(s): Research Technician/Technologist;

View all competency profiles

Compensation

From $103,911 to $130,061 per annum.

NRC employees enjoy a wide-range of competitive benefits including a robust pension plan, comprehensive health and dental coverage, disability and life insurance, office closure at the end of December, and additional supports to enhance your well-being throughout your career and beyond.

Notes

In 2026, the NRC was chosen as one of Canada’s Top Employers for Young People, a National Capital Region Top Employer and Forbes Canada’s Best Employer.
Relocation assistance will be determined in accordance with the NRC's directives.
A pre-qualified list may be established for similar positions for a one-year period.
Preference will be given to Canadian Citizens and Permanent Residents of Canada. Please include citizenship information in your application.
The incumbent must adhere to safe workplace practices at all times.
We thank all those who apply, however only those selected for further consideration will be contacted.

Please direct your questions, with the requisition number (26119) to:

E-mail: NRC.NRCHiring-EmbaucheCNRC.CNRC@nrc-cnrc.gc.ca

Telephone: 3439909603

Closing Date: 19 October 2026 - 23:59 Eastern Time

For more information on career tools and other resources, check out Career tools and resources

*If you are currently a term or continuing employee at NRC, please apply through the SuccessFactors Careers module from your NRC computer.

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More about this job

Responsibilities

The Data Science Engineer will collaborate with data scientists and stakeholders to develop scalable machine learning models and data-driven solution architectures. They are responsible for building data pipelines, packaging prototypes into client-facing applications, and troubleshooting technical issues across deployment environments.

Requirements

Candidates must hold a Master's degree in a STEM field, or a Bachelor's degree with significant relevant work experience. Applicants are required to demonstrate extensive experience in maintaining data pipelines, developing backend systems, and building client-facing analytical solutions.

Skills

Data science
Machine learning
Data engineering
Python
R
SQL
Solution architecture
Data pipelines
API development
Cloud platforms
Generative AI
Data visualization
Statistics
Mathematics
Technical documentation

Benefits

Pension plan
Health coverage
Dental coverage
Disability insurance
Life insurance
Office closure at the end of December

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Machine Learning
Data Engineering
Python
R
SQL
Azure
AWS
Google Cloud
API
Containers
Data Pipelines
Generative AI
Solution Architecture
STEM
Data Analytics
Dashboarding
Reliability Status
Employment Equity
Research and Innovation

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