Jobs in Canada

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Senior Solutions Engineer, Mid-Enterprise
Docker
Remote, Canada
- Full-time
- Remote
Lead deep technical discovery across Platform Engineering, DevOps, Security, and AI/ML teams to understand:
Added 2 months ago
Data Architect Fabric Platform Lead
Mother Parkers Tea & Coffee
Mississauga, ON
Bachelor’s degree in computer science, Information Technology, Software Engineering, Data Engineering, Information Systems, or a related discipline or equivalent.
Added 2 months ago
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Senior Site Reliability Engineer
PENN Interactive
Canada
- Full-time
…architecture decisions - all on a team that values pragmatic engineering, real ownership, and continuous improvement of how we…
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Senior Software Developer (Automation & Integration)
GamblingCareers.com
Toronto, ON
- Full-time
Partner with DevOps on deployment, infrastructure as code, environments, secrets, cost control, and production readiness.
Added 2 months ago
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UDA Business Analyst - Students Seeking Opportunities
Imperial Oil
Calgary, AB
- Full-time
Currently enrolled in business analytics, computer science, data science, software engineering, engineering, mathematics, statistics, operations research, management information systems, or…
Added 2 months ago
Development & Operations Analyst
CAA Club Group
Thornhill, ON
Familiar with Software Development Life Cycle
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Leader, Software Product Development Process Transformation – Connected Vehicles
BRP
Valcourt, QC
- Full-time
Reporting to the Connected Vehicle Engineering Director, the Leader, Software Product Development Process Transformation is responsible for evolving the practices, processes, methods, and…
Added 2 months ago
Data Platform Administrator (12-month contract)
ARC Resources Ltd.
Calgary, AB
Support the Data Engineering team in building and maintaining data integration solutions as business priorities require, including:
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Spécialiste en tests de logiciels / Software Test Specialist
Genetec
Remote, Canada
- Full-time
- Remote
Platforme cloud Azure (Microsoft SQL Server and Azure DevOps)
Added 2 months ago
Senior Data Engineer - Vancouver
Capgemini
Vancouver, BC
8+ 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.…
Added 2 months ago
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Senior DevOps Engineer (Python & GitHub Platform) - Hybrid
Cognizant
Halifax, NS
- $49,000 to $95,500 CAD / year
- Full-time
Strong understanding of DevOps principles and software delivery lifecycle
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Analyst/Consultant, OpenText VIM Specialist
Deloitte
Toronto, ON
- Full-time
Undergraduate degree (or equivalent experience) in Information Management, Software Engineering, Computer Science, Business, or related field.
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Senior DevOps / Blockchain Infrastructure Engineer - Operate
Deloitte
Toronto, ON
- Full-time
5+ years of DevOps, Platform Engineering, Infrastructure Engineering, or Site Reliability Engineering experience.
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AI Research Engineer
Deloitte
Toronto, ON
- Full-time
…at the intersection of cutting-edge AI research and product engineering - designing, evaluating, and deploying generative AI (GenAI) systems that are both reliable and impactful. This role…
Added 2 months ago
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Senior Full Stack Developer (Java And React/Angular) - Operate
Deloitte
Toronto, ON
- Full-time
We are seeking Full Stack Java Developers to join our team on a 1-year fixed term. As a Full Stack Java Developer at Deloitte, you will play a crucial role in designing, developing, and…
Added 2 months ago
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Manager - Data Engineering (Microsoft Fabric Platform)
Deloitte
Toronto, ON
- Full-time
Guide best practices for CI/CD, DevOps, and environment management in Fabric.
Added 2 months ago
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Data Governance Lead
Deloitte
Toronto, ON
- Full-time
Bachelor degree in Information Systems, Data Management, Computer Science, Business, Engineering, Analytics, or a related field.
Added 2 months ago
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Manager Product Engineering & Development
Deloitte
Toronto, ON
- Full-time
DevOps/platform engineering: Architect enterprise automation strategies - infrastructure-as-code (Terraform, Bicep), CI/CD, container platforms (Kubernetes, AKS), and GitOps - and lead the…
Added 2 months ago
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Frontier and Platform Development Leader
Deloitte
Toronto, ON
- Full-time
10+ years of experience in software engineering, platform engineering, solution
Added 2 months ago
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Senior Blockchain Developer - Operate
Deloitte
Toronto, ON
- Full-time
We are seeking a Senior Blockchain Developer to join our team on a 1-year fixed term. In this role, you will design, develop, and maintain enterprise-grade blockchain solutions that support…
Added 2 months ago
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Ping Identity Platform Sr. Developer, Global Deloitte Technology
Deloitte
Toronto, ON
- Full-time
Familiarity with DevOps/CI/CD tools such as Jenkins and Ansible.
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AI Solutions Architect
Deloitte
Toronto, ON
- Full-time
Apply strong software engineering fundamentals:
Added 2 months ago
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SCM Senior Consultant, Microsoft Dynamics 365 Finance & Operations
Deloitte
Toronto, ON
- Full-time
Strong Supply Chain experience (must have) · Experienced in preparing and leading workshops with key stakeholders (must have )
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Identity and Access Management Architect, Global Deloitte Technology
Deloitte
Toronto, ON
- Full-time
Collaborate with product, engineering, and business leaders to prioritize roadmap items, measure outcomes (security posture, access-related incidents, time-to-provision), and demonstrate…
Added 2 months ago
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Senior Java Backend Developer - Operate
Deloitte
Toronto, ON
- Full-time
We are seeking Senior Java Developers to join our team on a 1-year fixed term. As a Java Developer at Deloitte, you will play a crucial role in designing, developing, and maintaining…

Capgemini

Senior Data Engineer - Vancouver

Vancouver, BC, Canada

The base compensation range for this role in the posted location is $125,000 to $150,000

Apply on careers.capgemini.com About employer

Applications open in a new tab.

Job details

Pay: The base compensation range for this role in the posted location is $125,000 to $150,000
Experience: Data Warehousing & Data Management Minimum 8 years of experience in modern data engineering, data warehousing, and data lake technologies.
Posting language: English
Posted: Sep 2, 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.

Lead 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 Responsibilities

Design, 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 Skills Programming & Data Engineering Advanced hands-on expertise in: Python PySpark SQL Strong 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 Factory Azure Synapse Analytics Azure Data Lake Storage Databricks Working knowledge of AWS and/or Google Cloud Platform (GCP) data services is highly desirable. Data Warehousing & Data Management Minimum 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 Analytics Azure SQL Database Snowflake Amazon Redshift Google BigQuery Strong understanding of data warehouse best practices, development standards, and methodologies. Experience with: Azure Data Lake Storage Azure Blob Storage Azure Cosmos DB Azure SQL Database ETL/ELT & Architecture Experience with ETL/ELT tools such as: Azure Data Factory (ADF) Informatica Talend Practical experience implementing Medallion Architecture and modern data lakehouse patterns.

Required Experience

8+ 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 Qualifications Experience 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 Expectations Lead 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 $125,000 to $150,000

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

Design, build, and implement scalable data pipelines and ETL/ELT processes using Microsoft Fabric and cloud technologies. Lead development efforts, mentor engineering teams, and collaborate with stakeholders to deliver high-quality data solutions.

Requirements

Requires 8+ years of experience in modern data engineering, data warehousing, and cloud platforms like Azure, AWS, or GCP. Candidates must possess advanced hands-on expertise in Python, PySpark, and SQL, along with proven leadership and mentoring capabilities.

Skills

Python
PySpark
SQL
Microsoft Azure
Data Engineering
Data Warehousing
Data Lake
ETL/ELT
Azure Data Factory
Azure Synapse Analytics
Databricks
Data Modeling
Cloud Platforms
Leadership
Big Data
CI/CD

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
Microsoft Fabric
Azure Data Factory
PySpark
Spark SQL
Python
ETL
ELT
Data Warehousing
Data Lake
Azure Synapse Analytics
Databricks
Medallion Architecture
Data Lakehouse
Azure Data Lake Storage
Azure Cosmos DB
Azure SQL Database
Snowflake
Amazon Redshift
Google BigQuery
Data Modeling
Schema Design
Azure DevOps
CI/CD
Power BI
Tableau
Cloud Migration
Big Data
Consulting
Leadership

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Work requirements

Jobs in Canada