Martech and AdTech Engineer

We are looking for a Martech AdTech Engineer to work in a hybrid capacity on a large-scale retail media and data transformation program. You will be responsible for designing, developing, integrating, and supporting solutions across ad serving, audience activation, measurement, analytics, and cloud data platforms. Working closely with solution architects, business stakeholders, platform vendors, and offshore teams, you will help deliver scalable Martech and AdTech capabilities in a fast-paced agile environment. Engineering & Technical Delivery Design and implement solutions across ad serving, data pipelines, audience activation, identity, measurement, and reporting platforms.Translate business and functional requirements into technical designs, integration specifications, and implementation plans.Develop and maintain APIs, data integrations, event pipelines, and supporting engineering components.Collaborate with architects, product owners, business analysts, and offshore teams throughout the software delivery lifecycle.Participate in sprint planning, backlog refinement, technical reviews, and production support activities.Produce and maintain technical design documents, integration specifications, deployment documentation, and data flow diagrams. Ad Technology Platforms Configure and implement retail media ad-serving platforms and supporting integrations.Develop and support ad-serving capabilities for sponsored products, Product Listing Ads (PLA), display, video, and native advertising formats.Implement platform migration activities, including tag deployment, campaign migration support, testing, and production cutover activities.Configure and support integrations with DSPs and advertising platforms, including The Trade Desk, DV360, StackAdapt, and similar ecosystems.Support campaign enablement workflows, inventory management, ad decisioning, audience targeting, and event tracking capabilities.Measurement, Attribution & Analytics Implement measurement frameworks connecting advertising events with customer, loyalty, and transaction data.Develop data pipelines supporting attribution, reporting, and campaign performance measurement.Support experimentation and incrementality testing initiatives through data integration and reporting enablement.Build reporting datasets and metrics required for RMN reporting, including ROAS, new-to-brand, sales lift, share of voice, and related KPIs.Support clean-room integrations and privacy-safe measurement solutions in collaboration with data and analytics teams.Develop event ingestion, transformation, and reporting pipelines supporting advertising measurement and analytics. Data, Cloud & Identity Engineering Develop and support cloud-native data solutions on Azure,GCP and/or AWS.Build and maintain Snowflake/Databricks/BigQuery integrations, data pipelines, transformations, and data-sharing capabilities.Implement identity resolution, audience activation, and audience syndication integrations across marketing and advertising platforms.Develop first-party audience pipelines supporting targeting, activation, measurement, and reporting use cases.Support data governance, consent management, lineage, monitoring, and observability requirements in compliance with enterprise standards. Required Experience 8+ years of experience in software engineering, data engineering, Martech, AdTech, or digital advertising technology environments.3+ years working within retail media, digital advertising, AdTech, or Martech ecosystems.Hands-on experience with Azure/GCP/AWS cloud services, data processing, and integration frameworks.Experience with Snowflake/Databricks, data modelling, ELT/ETL processes, and cloud data warehouse implementations.Experience integrating Salesforce Marketing Cloud, Salesforce Data Cloud (CDP), or equivalent marketing technology platforms.Understanding of ad-serving platforms, DSPs, SSPs, header bidding, programmatic advertising, and ad tag management.Experience supporting retail media platforms such as Kevel, Critus, Google Ad Manager, or equivalent solutions.Experience working with attribution, measurement, audience activation, and advertising analytics solutions.Experience working in Agile delivery environments and collaborating with distributed engineering teams. Technical Skills Cloud GCP (BigQuery, Cloud Storage, Pub/Sub, Dataflow, Cloud Run), AWS (S3, Lambda, Kinesis, Redshift), AzureData Snowflake, Databricks, dbt, Apache Spark, Airflow, Kafka / Pub/SubAdTech API-first ad servers, Header bidding, DSP / SSP integrations, Programmatic advertising, Ad tag management, Retail media platformsMeasurement & Analytics Attribution reporting, Event tracking, Incrementality testing, Clean-room integrations, Campaign performance measurementIdentity Identity Resolution Platforms, LiveRamp (RampID), Audience activation, Identity resolution, Audience syndicationIntegration REST APIs, GraphQL, Webhooks, Salesforce Marketing Cloud APIs, Salesforce Data Cloud, ETL / ELT pipelines The base compensation range for this role in the posted location is $145,284 to $154,027. 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 LeaveMedical, 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 insuranceEmployee assistance programsOther benefits 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 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.