Jobs in Canada

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Added 8 days ago
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Associate, Intelligence (Power & Energy) - 26-209D
Enverus
Calgary, AB
- Full-time
…trade press, and the Enverus suite of products alongside more senior team members – using AI from day one to raise the quality and speed of your own work. You'll start on well-defined…
Added 8 days ago
RB
Director & Principal Engineer, AI/ML & MLOps Platform
Royal Bank of Canada
Vancouver, BC
- Full-time
· 8+ years of experience in designing and building data-intensive applications, with 3+ years in a senior technical leadership role.
Added 8 days ago
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Applied AI Engineer
Foresight
Montreal, QC
- $180,000 to $230,000 CAD / year
- Full-time
Are strong in Python on the backend (FastAPI, Django or similar).
Added 8 days ago
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Senior AI/ML Developer – Python | DSPy | LLM | Databricks | MLflow
ThoughtStorm
Toronto, ON
- Contract
Strong hands-on experience with Python programming for AI/ML development, data processing, and automation.
Added 8 days ago
PI
Senior System Administrator
Planitar Inc.
Waterloo, ON
- $94,000 to $115,000 CAD / year
- Full-time
We’re looking for a Senior Systems Administrator to join the iGuide IT team and take ownership of our core IT systems and processes. Reporting to our Sr. Manager, IT & InfoSec, this is a…
Added 8 days ago
R
Director & Principal Engineer, AI/ML & MLOps Platform
RBC
Vancouver, BC
- Full-time
· 8+ years of experience in designing and building data-intensive applications, with 3+ years in a senior technical leadership role.
Added 8 days ago
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Sr. Systems Administrator
Planitar
Waterloo, ON
- Full-time
We’re looking for a Senior Systems Administrator to join the iGuide IT team and take ownership of our core IT systems and processes. Reporting to our Sr. Manager, IT & InfoSec, this is a…
Added 8 days ago
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Modelling/Forecasting Analyst
TD
Toronto, ON
- Full-time
…(LRM) in Canada and U.S. jurisdictions. The position reports to Senior Manager, Advanced Analytics – Liquidity Risk Management Model…
Added 8 days ago
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Intermediate Software Engineer (Frontend/UI)
Achievers
Toronto, ON
- Full-time
Report to an experienced Engineering leader who can offer you mentorship, autonomy, ownership, and a genuine investment in your growth toward the next senior level in your career.
Added 8 days ago
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Oracle Database Administrator
Soroc Technology
Toronto, ON
- $60 to $65 CAD / hour
- Contract
Proficiency in shell scripting (Bash) and automation using Python.
Added 8 days ago
FW
Senior Full Stack Engineer
Foresight Works Ltd
Remote, Canada
- $180,000 to $230,000 CAD / year
- Full-time
- Remote
We're looking for a Senior Full Stack Engineer to help build the core platform and product of Foresight.
Added 8 days ago
Senior Data Analytics Developer
Coveo
Montreal, QC
Are you passionate about building the data foundations that power innovative products? As a Senior Data Developer, you’ll help build and scale the data platform behind Coveo’s product.…
Added 8 days ago
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Business Systems Developer
Grantek Systems Integration
Burlington, ON
- $75,000 to $90,000 CAD / year
- Full-time
…off their careers at Grantek and have grown into successful senior team members who are integral to our client's manufacturing…
Added 8 days ago
Senior Cloud Security Architect | Architecte senior en sécurité cloud , AWS professional services | Services Professionnels AWS
Amazon
Calgary, AB · Vancouver, BC · Ottawa, ON · Toronto, ON · Montreal, QC
The AWS Professional Services (ProServe) team is looking for a senior security architect to join our team in Quebec. In this role, you will work closely with customers to design, implement,…
Added 8 days ago
YD
Data Science Developer
York Digital Consulting Inc.
Toronto, ON
- Contract
The Senior Data Science Developer will design, develop, and implement enterprise AI solutions, including Generative AI applications, intelligent agents, and reusable AI components. The role…
Added 8 days ago
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Business Systems Developer
Grantek
Burlington, ON
- Full-time
…off their careers at Grantek and have grown into successful senior team members who are integral to our client's manufacturing…
Added 8 days ago
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Senior AI Engineer (Claude Code, Codex, Cursor)
Encore Technical Solutions Inc.
Toronto, ON
- Full-time
A well-established global financial services company is expanding its enterprise AI platform. It's hiring a Senior AI Engineer to join a small, hands-on team. You'll design, ship and run…
Added 8 days ago
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Senior Full Stack Software Designer (Java & React)
CGI
Toronto, ON
- Full-time
This role is hybrid and requires you to be at our downtown Toronto and/or Client office at a minimum 2 days per week subject to change at any time
Added 8 days ago
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Application Solution and Design Director
CIBC Mellon
Toronto, ON
- Full-time
…as React or Angular, back-end technologies such as Node.js, Python, and .NET, cloud and data platforms such as Azure, AWS, and Snowflake, and CI/CD pipelines including GitHub and Azure…
Added 8 days ago
Advisor, Distribution Asset Management
Ontario Energy Board
Toronto, ON
Assess the impacts of identified issues and develop appropriate case strategy for senior management, in collaboration with other team members to propose solutions and/or recommendations…
Added 8 days ago
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Senior Analyst Data Analytics
BMO
Toronto, ON · FCP
- Full-time
The role is based in Toronto and operates in a hybrid model (3 days in office)
Added 8 days ago
GG
Practice Lead - Offensive Security & Red Teaming
Graystone Group
Canada
- Full-time
Serve as a senior technical escalation point and trusted advisor for complex client security challenges.
Added 8 days ago
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Senior Java Full Stack Developer
Miratech
Ottawa, ON
- Full-time
Working Model: This is a hybrid role requiring 2 days per week in a downtown Toronto office
Added 8 days ago
Senior Analyst, Operational Policies and Programs
CMHC - SCHL
Calgary, AB · Vancouver, BC · Halifax, NS · Ottawa, ON · Toronto, ON · Montreal, QC
Join the Analytics & Strategic Insights team, in the Senior Analyst, Operational Policies and Programs position. In this role, you will turn data, research and business information into…
Added 8 days ago
Senior Data Engineer
Capgemini
Mississauga, ON
Data Engineering Lead We are seeking a highly experienced Senior Data Engineering Lead with 8+ years of experience in modern data engineering, data warehousing, and data lake technologies…

Capgemini

Senior Data Engineer

Mississauga, ON, Canada

The base compensation range for this role in the posted location is $94,981 to $150,321

Apply on careers.capgemini.com About employer

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Job details

Pay: The base compensation range for this role in the posted location is $94,981 to $150,321
Apply by: Jan 1, 2027
Posting language: English
Posted: Nov 6, 2026

Original job description

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Data Engineering Lead We are seeking a highly experienced Senior Data Engineering Lead with 8+ years of experience in modern data engineering, data warehousing, and data lake technologies across cloud platforms, including Microsoft Azure, Google Cloud Platform (GCP), and AWS.

The ideal candidate will have strong technical expertise, proven leadership abilities, and experience designing scalable data solutions while collaborating with business and technical stakeholders.Key ResponsibilitiesDesign, build, and implement scalable data pipelines using Microsoft Fabric, including Azure Data Factory, PySpark, Spark SQL, and Python.Develop and maintain ETL/ELT processes to ingest, transform, and load data from multiple sources into data warehouses, data lakes, and analytical platforms.Optimize large-scale data processing workflows to improve performance, scalability, and reliability.Implement and maintain data security, governance, and compliance standards in accordance with enterprise and regulatory requirements.Collaborate with business stakeholders, architects, and engineering teams to gather requirements and deliver effective data solutions.Lead development efforts, provide technical guidance, and ensure delivery of high-quality solutions within project timelines.Required Technical SkillsProgramming & Data EngineeringAdvanced hands-on expertise in:PythonPySparkSQLStrong experience in data modeling, query optimization, and schema design.Cloud & Data Platforms

Strong proficiency with Microsoft Azure Cloud Services.Experience with Microsoft Fabric and related technologies:Azure Data FactoryAzure Synapse AnalyticsAzure Data Lake StorageDatabricksWorking knowledge of AWS and/or Google Cloud Platform (GCP) data services is highly desirable.Data Warehousing & Data ManagementMinimum 8 years of experience in modern data engineering, data warehousing, and data lake technologies.Extensive experience with enterprise data warehouse platforms, including one or more of:Azure Synapse AnalyticsAzure SQL DatabaseSnowflakeAmazon RedshiftGoogle BigQueryStrong understanding of data warehouse best practices, development standards, and methodologies.Experience with:Azure Data Lake StorageAzure Blob StorageAzure Cosmos DBAzure SQL DatabaseETL/ELT & ArchitectureExperience with ETL/ELT tools such as:Azure Data Factory (ADF)InformaticaTalendPractical experience implementing Medallion Architecture and modern data lakehouse patterns.Required Experience8+ years of experience in data engineering, data warehousing, and cloud-based data platforms.12+ years of experience in SQL development, schema design, and dimensional data modeling.Experience developing and optimizing big data solutions using Spark-based technologies.Strong analytical, troubleshooting, and problem-solving capabilities.Demonstrated experience leading technical teams and mentoring engineers.Preferred QualificationsExperience with Databricks (highly preferred).Experience with Azure DevOps and CI/CD implementation.

Knowledge of cloud migration strategies and methodologies.2+ years of experience with Power BI.5+ years of experience with reporting and visualization tools such as Tableau, OBIEE, or similar platforms.Leadership ExpectationsLead and mentor data engineering teams.Drive technical design decisions and architectural standards.Manage stakeholder expectations and communicate effectively across technical and business teams.Ensure timely delivery of high-quality, scalable, and secure data solutions.

Job Description

Data engineers are responsible for building reliable and scalable data infrastructure that enables organizations to derive meaningful insights, make data-driven decisions, and unlock the value of their data assets.

Job Description - Grade Specific

The involves leading and managing a team of data engineers, overseeing data engineering projects, ensuring technical excellence, and fostering collaboration with stakeholders. They play a critical role in driving the success of data engineering initiatives and ensuring the delivery of reliable and high quality data solutions to support the organizations data driven objectives.

The base compensation range for this role in the posted location is $94,981 to $150,321

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave

Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
Life and disability insurance
Employee assistance programs
Other benefits as provided by local policy and eligibility

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

Disclaimers

Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

Apply on careers.capgemini.com About employer

More about this job

Responsibilities

The Senior Data Engineering Lead is responsible for designing, building, and implementing scalable data pipelines and ETL/ELT processes using modern cloud technologies. They will also lead and mentor engineering teams while collaborating with stakeholders to deliver high-quality, secure data solutions.

Requirements

Candidates must have 8+ years of experience in data engineering, data warehousing, and cloud platforms like Azure, GCP, or AWS. Strong proficiency in Python, PySpark, SQL, and data modeling is required, along with demonstrated leadership experience.

Skills

Python
PySpark
SQL
Microsoft Azure
Data warehousing
Data engineering
ETL/ELT
Data modeling
Microsoft Fabric
Azure Data Factory
Azure Synapse Analytics
Databricks
Medallion architecture
Cloud platforms
Leadership
Data lakehouse

Benefits

Paid time off
Company paid holidays
Personal days
Sick leave
Medical coverage
Dental coverage
Vision coverage
Retirement savings plans
Life insurance
Disability insurance
Employee assistance programs

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Data Warehousing
Cloud Platforms
Microsoft Azure
GCP
AWS
Microsoft Fabric
Azure Data Factory
PySpark
Spark SQL
Python
ETL
ELT
Data Lake
Data Modeling
Medallion Architecture
Data Lakehouse
Azure Synapse Analytics
Snowflake
Amazon Redshift
Google BigQuery
Azure Cosmos DB
Databricks
Azure DevOps
CI/CD
Power BI
Tableau
Leadership
Data Governance
Cloud Migration

Seniority

Lead

Perks

Generous paid time off
Retirement plan
Wellness program

Tools

Microsoft Fabric
Azure Data Factory
Azure Synapse Analytics
Databricks
Azure Data Lake Storage
Snowflake
Google BigQuery
Amazon Redshift
Informatica
Talend

Languages

English

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Work requirements

Jobs in Canada