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 & AnalyticsRole OverviewA 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 MediaImplement retail media and ad-serving platforms.
The Trade DeskDV360StackAdaptSupport campaign enablement, audience targeting, inventory management, event tracking, and ad decisioning.
Data Engineering & IntegrationDevelop APIs, data pipelines, ELT/ETL workflows, and event-driven integrations.
Salesforce Marketing CloudSalesforce Data Cloud (CDP)Advertising PlatformsRetail Media PlatformsBuild cloud-native data solutions and reporting pipelines.
Measurement & AnalyticsDevelop attribution and measurement pipelines.
Support:ROAS ReportingSales Lift AnalysisNew-to-Brand MetricsShare of Voice ReportingIncrementality TestingBuild event ingestion and campaign-performance reporting frameworks.




Identity & Audience ActivationImplement:Identity ResolutionAudience ActivationAudience SyndicationFirst-Party Data PipelinesWork with:LiveRamp (RampID)Customer Identity PlatformsAdvertising Activation SystemsCloud & Data PlatformsBuild solutions using:SnowflakeDatabricksBigQuerydbtSparkAirflowKafka/PubSubRequired Technical SkillsCloudAWSAzureGCPLambdaBigQueryDataflowRedshiftCloud RunPub/SubData EngineeringSnowflakeDatabricksApache SparkdbtAirflowKafkaAdTechAd ServersDSP & SSP IntegrationsHeader BiddingProgrammatic AdvertisingAd Tag ManagementRetail Media PlatformsGoogle Ad ManagerKevelCriteoMarketing TechnologySalesforce Marketing CloudSalesforce Data Cloud (CDP)Audience Activation PlatformsIntegrationREST APIsGraphQLWebhooksETL / ELT PipelinesAnalyticsAttribution ReportingEvent TrackingCampaign AnalyticsIncrementality TestingClean Room IntegrationsIdeal CandidateA 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 SpecificThe 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.
Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. 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.
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. 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 LeaveMedical, dental, and vision coverage (or provincial healthcare coordination in Canada)Retirement savings plans (e.g., RRSP in Canada)Life and disability insuranceEmployee assistance programsOther advantages as provided by local policy and eligibilityImportant 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 agreem

📌 Senior Data Engineer (Canada)
🏢 Capgemini
📍 Canada