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 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 ResponsibilitiesAdTech & 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.
