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Added 1 day ago
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Senior AWS Data Engineer (Strong Databricks)
Ccube
Mississauga, ON
- Full-time
We are looking for a Senior AWS Data Engineer to design and lead scalable, secure, and high-performance cloud data platforms across AWS/Azure." in Mississauga, ON (Hybrid).
Added 1 day ago
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Senior Java Full Stack Developer
Miratech
Ottawa, ON
- Full-time
We are looking for a Senior Full Stack Developer to design, build and maintain both front-end interfaces and back-end systems, including APIs, microservices, databases and cloud…
Added 1 day 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…
Added 1 day ago
RD
Senior Technical Analyst / Developer - Machine Learning & Data Engineering
Randstad Digital
Toronto, ON · Greater Toronto Area, Canada
- $100,000 to $130,000 CAD / year
- Full-time
We are seeking a senior, hands-on Senior Technical Analyst / Developer to design, build, deploy, and operationalize enterprise machine learning, data engineering, and AI solutions. In this…
Added 1 day ago
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Intermediate Observability Engineer
CI Financial
Toronto, ON
- Full-time
Collaborate with senior engineers and cross-functional teams to document standards, improve adoption, and support enterprise monitoring initiatives.
Added 1 day ago
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Senior Manager-PM Cloud Development
BMO
Toronto, ON · BMOPLACE
- Full-time
The Senior Manager (Senior Technology Officer) plays a critical role in enabling the successful delivery of platform changes supporting B2B partner integrations. This role is accountable…
Added 1 day ago
Technical Account Manager, CANPS
Amazon
Toronto, ON
As a Senior TAM, you will help craft and execute strategies to drive our customers’ adoption and use of AWS services, including EC2, S3, DynamoDB & RDS databases, Lambda, CloudFront CDN,…
Added 1 day ago
C
Senior Python Engineer
Collabera
Toronto, ON
- $90 to $95 CAD / hour
- Contract
Python & Backend Development: Strong enterprise Python development experience, including building RESTful APIs and backend services.
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Senior Python Developer with PySpark and AWS
Luxoft
Toronto, ON
- Full-time
Proven experience working with cloud-based technologies, specifically AWS.
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Senior Java Full Stack Developer
Miratech
Kitchener, ON
- Full-time
We are looking for a Senior Full Stack Developer to design, build and maintain both front-end interfaces and back-end systems, including APIs, microservices, databases and cloud…
Added 1 day ago
M
Senior Java Full Stack Developer
Miratech
London, ON
- Full-time
We are looking for a Senior Full Stack Developer to design, build and maintain both front-end interfaces and back-end systems, including APIs, microservices, databases and cloud…
Added 1 day ago
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Senior Product Security Engineer
PheedLoop
Toronto, ON · North York, ON
- Full-time
Comfort in modern stacks like Python / Django, React, and AWS. You don't need to be a senior software engineer, but you can read application code, understand a deployment pipeline, and…
Added 1 day ago
MA
Senior Software Engineer
Milya AI
Montreal, QC
- Full-time
Role Title: Senior AI Engineer – Full-Stack & Ambient Voice (Startup / On-Site)
Added 1 day ago
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Senior IT Infrastructure Administrator, DevOps
Confluence
Montreal, QC
- Full-time
Microsoft Azure | Terraform | Jenkins | CI/CD | Git | Windows | Linux | Active Directory | Python | PowerShell | Bash | Ansible | AWS | Generative AI tools including Claude
Added 1 day ago
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Senior IT Infrastructure Administrator, DevOps
Confluence
Toronto, ON
- Full-time
Microsoft Azure | Terraform | Jenkins | CI/CD | Git | Windows | Linux | Active Directory | Python | PowerShell | Bash | Ansible | AWS | Generative AI tools including Claude
Added 1 day ago
RD
Technical Customer Success Manager
Redpanda Data
Canada
- Full-time
Communicate confidently with engineering teams, platform owners, and senior leadership
Added 1 day ago
GS
Staff Site Reliability Engineer, Application
Guidewire Software
Toronto, ON
- Full-time
This is a senior leadership role with global reach. You will act as a Staff Site Reliability Engineer (P5), providing deep technical expertise and cross-team architectural influence,…
Added 1 day ago
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Forward Deployed Engineer
Didero
Toronto, ON
- $90,000 to $130,000 CAD / year
- Full-time
Familiarity with Python/Django, React/TypeScript, SQL, or cloud basics (AWS/Azure/GCP).
Added 1 day ago
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Backend Engineer (Intermediate)
Punt
Canada
- Full-time
…problems, write clean and performant code, and collaborate closely with senior engineers and…
Added 1 day ago
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Senior Backend Software Engineer
Punt
Canada
- Full-time
We’re seeking a Senior Backend Engineer to help design, build, and scale our next-generation social gaming platform. You’ll work on highly concurrent systems, architecting APIs and backend…
Added 1 day ago
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Associate Data Engineer
Punt
Vancouver, BC
- Full-time
Python Skills: Practical experience writing Python scripts for data manipulation, API integration, and automated task execution with proper error handling.
Added 1 day ago
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Associate Cloud Engineer
''
Florenceville-Bristol, NB
- Full-time
…Engineering team within Global Technology. Reporting to the Senior Director, Infrastructure, Engineering & Operations, you will work closely with senior cloud engineers and collaborate with…
Added 1 day ago
C
Fullstack Integration Developer Vice President
Citi
Mississauga, ON
- Full-time
Gen-AI Full-Stack Development: Experience with Python and Java, backend frameworks (Spring Boot/Core, Flask/FastAPI), modern JavaScript frontend frameworks (React, Angular, Vue), and…
Added 1 day ago
OT
Sr. Software Developer (Bilingual)
Open Text Corporation
Ottawa, ON · Richmond Hill, ON
- Other
We are looking for a Senior Backend Software Developer to join our development team at OpenText. Our team builds and evolves a public, multi-tenant Software-as-a-Service (SaaS) cloud…
Added 1 day ago
MF
Associate Cloud Engineer
McCain Foods
Florenceville-Bristol, NB
- Full-time
…Engineering team within Global Technology. Reporting to the Senior Director, Infrastructure, Engineering & Operations, you will work closely with senior cloud engineers and collaborate with…

Capgemini

Senior Data Engineer

Mississauga, ON, Canada

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

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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.

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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

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