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Added 7 hours ago
E
Principal Software Engineer
EngRadar
Kitamaat 2, BC
- Full-time
…establish secure, reusable integration patterns between the two…
Added 17 hours ago
N
Senior Product Manager
nesto
Montreal, QC
- Full-time
Familiarity with lending technology, origination platforms, or financial data infrastructure.
Added 1 day ago
T
Senior Information Security Specialist - AI BISO
TD
Ottawa, ON · Toronto, ON
- Full-time
Lead risk and control design assessments across AI applications, models, agents, third parties, infrastructure and supporting platforms, including vulnerability and control procedure…
Added 1 day ago
Principal Software Engineer
Conga
Canada
…establish secure, reusable integration patterns between the two…
Added 1 day ago
KC
Information Technology (IT) Manager
Kepler Communications Inc.
Toronto, ON · Greater Toronto Area, Canada
- Full-time
…the work with them, troubleshooting escalations, designing infrastructure, running incident response, and executing projects. You'll also need to learn quickly: Kepler's environment spans…
Added 1 day ago
T
.NET/C# Engineer, TD Securities
TD
Toronto, ON
- Full-time
…developers, and BSA's who build and maintain critical technology platforms in an Agile environment. You'll be exposed to stretch assignments as you take on large-scale, complex and/or…
Added 1 day ago
NOC Analyst
Exchange Technology Services Inc.
Winnipeg, MB
Reporting to the NOC Manager, The Tier 1 NOC Analyst serves as the first point of contact for monitoring, incident response, and operational support within the Network Operations Centre.…
Added 1 day ago
AI Engineer
BMO
Toronto, ON · BMOPLACE
Experience working with cloud platforms such as Azure, AWS, or Google Cloud.
Added 1 day ago
T
Software Engineer II (SDET)
TD
Toronto, ON
- Full-time
Document and verify system components, applications, system infrastructure, security, integration, operability and engineering related architecture designs associated with a program or…
Added 1 day ago
T
Google Big Data Platform Engineer II
TD
Toronto, ON
- Full-time
Manage cloud security controls, including GCP Secret Manager, PKI, data encryption, and VPC Service Controls
Added 1 day ago
M
Développeur DevOps principal
Moneris
Quebec, QC
- Full-time
…l’évolution, l’exploitation et l’optimisation d’une plateforme cloud moderne reposant principalement sur Google Cloud Platform. À travers une combinaison d’activités liées aux opérations…
Added 1 day ago
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Lead DevOps Engineer
BMO
Toronto, ON · YNG
- Full-time
We are seeking a Lead DevOps Engineer to drive cloud infrastructure, automation, and platform engineering initiatives across the enterprise. This hands-on leadership role will be…
Added 1 day ago
Senior Manager, Strategic Sourcing
Scotiabank
Toronto, ON
…senior business leaders to unlock enterprise value across SaaS, cloud & hyperscalers, infrastructure, software, IT labour, networks, and emerging tech. This is a role for a commercially…
Added 1 day ago
T
Software Engineer I (Java)
TD
London, ON · Toronto, ON
- Full-time
Document and verify system components, applications, system infrastructure, security, integration, operability and engineering related architecture designs associated with a program or…
Added 1 day ago
GD
Manager, Infrastructure and Cloud Services
General Dynamics Missions System International
Ottawa, ON
- $120,000 to $160,000 CAD / year
- Full-time
The Manager, Infrastructure and Cloud Services is accountable for the reliability, security, modernization, and operational delivery of General Dynamics Mission Systems core technology…
Added 1 day ago
TT
Data Engineer (Basketball Strategy)
Toronto Tempo
Toronto, ON
- Full-time
The Data Engineer (Basketball Strategy) will build and maintain the data infrastructure behind our Basketball Strategy team. They will design the databases and pipelines that bring…
Added 2 days ago
RB
Senior Manager, Engineer & Build
Royal Bank of Canada
Toronto, ON
- Full-time
As a Senior Manager, Engineering & Build (Hands-On Leader), you will lead an engineering team while contributing ≈50% hands-on to design and deliver cloud-native, governed, and reliable…
Added 2 days ago
Senior Data Engineer
Capgemini
Mississauga, ON
Focus: Retail Media Networks (RMN), AdTech, MarTech, Data Engineering, Cloud Platforms, Audience Activation, Attribution & Analytics
Added 2 days ago
BC
Associate, DevOps Engineer
BMO Capital Markets
Toronto, ON
- Part-time
Strong experience with cloud platforms (AWS, Azure, GCP).
Added 2 days ago
T
Engineer II - Endpoint Protection Security
TD
Toronto, ON · Mississauga, ON · Markham, ON
- Full-time
Serve as a subject matter expert for endpoint protection technologies, including EDR, anti-malware, FIM, security automation, threat intelligence, and related security platforms.
Added 2 days ago
B
Principal Azure Cloud Platform Engineer
BMO
Toronto, ON · BMOPLACE
- Full-time
As a Principal Azure Platform Engineer, you will play a hands‑on engineering role within BMO’s Azure cloud ecosystem. You will be responsible for designing, building, and operating secure,…
Added 2 days ago
T
Software Engineer II (Cloud Engineer)
TD
Toronto, ON · Mississauga, ON
- Full-time
Software Engineer II (Cloud Engineer) develops solutions utilizing DevOps pipelines to deploy Infrastructure as Code to build Observability platforms and enable Observability Solutions…
Added 2 days ago
T
Software Engineer II
TD
Toronto, ON
- Full-time
…services. You contribute to solutions that operate across diverse cloud environments, applying practical knowledge of cloud infrastructure, deployment patterns and scalable engineering…
Added 2 days ago
Associate, DevOps Engineer
BMO
Toronto, ON · FCP
Strong experience with cloud platforms (AWS, Azure, GCP).
Added 3 days ago
U
Senior Cloud IAM Engineer (Microsoft Entra ID & AWS)
UST
ON · Ontario, Canada
- Full-time
…(OIDC), and FIDO2 standards to enable secure access across cloud and SaaS…

Capgemini

Senior Data Engineer

Mississauga, ON, Canada

The base compensation range for this role in the posted location is $94,981 to $168,680.

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Job details

Pay: The base compensation range for this role in the posted location is $94,981 to $168,680.
Apply by: Jan 1, 2027
Experience: Experience: 8+ Years (3+ Years in Retail Media, AdTech, or MarTech)
Posting language: English
Posted: Oct 15, 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.

Experience: 8+ Years (3+ Years in Retail Media, AdTech, or MarTech)
Focus: Retail Media Networks (RMN), AdTech, MarTech, Data Engineering, Cloud Platforms, Audience Activation, Attribution & Analytics

Role Overview

A hands-on engineering role responsible for building, integrating, and supporting Retail Media, Advertising Technology, Marketing Technology, Data, and Analytics solutions. The role works across ad serving, audience activation, identity resolution, attribution, reporting, and cloud data platforms while collaborating with architects, product teams, business stakeholders, vendors, and offshore teams.

Key Responsibilities
AdTech & Retail Media
Implement retail media and ad-serving platforms.
Support:
Sponsored Products
Product Listing Ads (PLA)
Display Advertising
Video Advertising
Native Advertising

Integrate with DSPs including:

The Trade Desk DV360 StackAdapt Support campaign enablement, audience targeting, inventory management, event tracking, and ad decisioning. Data Engineering & Integration Develop APIs, data pipelines, ELT/ETL workflows, and event-driven integrations.

Implement integrations with:

Salesforce Marketing Cloud Salesforce Data Cloud (CDP) Advertising Platforms Retail Media Platforms Build cloud-native data solutions and reporting pipelines. Measurement & Analytics Develop attribution and measurement pipelines.

Support:

ROAS Reporting Sales Lift Analysis New-to-Brand Metrics Share of Voice Reporting Incrementality Testing Build event ingestion and campaign-performance reporting frameworks. Support clean-room measurement solutions. Identity & Audience Activation

Implement:

Identity Resolution Audience Activation Audience Syndication First-Party Data Pipelines

Work with:

LiveRamp (RampID) Customer Identity Platforms Advertising Activation Systems Cloud & Data Platforms

Build solutions using:

AWS Azure GCP

Develop and support:

Snowflake Databricks BigQuery dbt Spark Airflow Kafka/PubSub Required Technical Skills Cloud AWS Azure GCP Lambda BigQuery Dataflow Redshift Cloud Run Pub/Sub Data Engineering Snowflake Databricks Apache Spark dbt Airflow Kafka AdTech Ad Servers DSP & SSP Integrations Header Bidding Programmatic Advertising Ad Tag Management Retail Media Platforms Google Ad Manager Kevel Criteo Marketing Technology Salesforce Marketing Cloud Salesforce Data Cloud (CDP) Audience Activation Platforms Integration REST APIs GraphQL Webhooks ETL / ELT Pipelines Analytics Attribution Reporting Event Tracking Campaign Analytics Incrementality Testing Clean Room Integrations Ideal Candidate

A MarTech/AdTech Engineer with strong experience in Retail Media Networks, Advertising Platforms, Cloud Data Engineering, Salesforce Marketing Technologies, Snowflake/Databricks, Identity Resolution, Audience Activation, and Attribution Analytics, capable of building scalable advertising and data solutions while supporting enterprise retail media transformations.

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 $168,680.

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 role involves building, integrating, and supporting data and analytics solutions across retail media, advertising, and marketing technology platforms. You will collaborate with architects and stakeholders to develop scalable data pipelines, attribution frameworks, and audience activation strategies.

Requirements

Candidates must have 8+ years of experience, including at least 3 years in Retail Media, AdTech, or MarTech. Proficiency in cloud platforms (AWS, Azure, GCP) and data engineering tools like Snowflake, Databricks, and Spark is required.

Skills

Data Engineering
Cloud Platforms
Retail Media Networks
AdTech
MarTech
Snowflake
Databricks
Apache Spark
dbt
Airflow
Kafka
Salesforce Marketing Cloud
Identity Resolution
Audience Activation
Attribution Analytics
ETL/ELT Pipelines

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
Retail Media Networks
AdTech
MarTech
Cloud Platforms
AWS
Azure
GCP
Snowflake
Databricks
Apache Spark
dbt
Airflow
Kafka
Salesforce Marketing Cloud
Identity Resolution
Audience Activation
Attribution
ETL
ELT
REST APIs
GraphQL
Programmatic Advertising
Google Ad Manager
Criteo
Kevel
Clean Room
Data Pipelines
ROAS Reporting
Incrementality Testing

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