Job Description

Minimum qualifications

• Currently enrolled in a Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Statistics, Economics, Business Information Systems, or a related technical/quantitative field in the EMEA region.
• Relevant practical or internship experience in technical project delivery, technical consulting, software development, or a customer-facing role.
• Programming or scripting experience with at least one language (e.g., Python, JavaScript) and experience with SQL or data analysis.
• Ability to communicate in English to support client relationship management in this region.

Preferred qualifications

• Currently enrolled in your penultimate/final year of education.
• Demonstrated knowledge of digital advertising concepts, digital analytics tools (e.g., Google Analytics 4), tag management, or Cloud environments (e.g., Google Cloud Platform).
• Ability to learn complex system architectures, privacy-safe data ecosystems, and Google Ads products.
• Ability to complete a 13 week full-time internship in the internship location starting in either May, June or July 2027.
• Strong problem-solving skills with a track record to debug complex and ambiguous challenges.
• Interest for marketing technology, and learning how online platforms, databases, privacy frameworks and customer management systems/ tools interact behind the scenes.

About the job

As a Product Deployment Engineer Intern in gTech Ads, you will gain exposure to how Google bridges customer business goals with cutting-edge advertising technologies. Product Deployment Engineers serve as the in-market technical and product authority across core solution areas (such as Search+, YouTube+, or Measurement & Platforms).

During your internship, you will work alongside experienced PDEs to get a first-hand look at end-to-end technical deployments—from learning how to evaluate client technical maturity and map MarTech architectures, to assisting with product activation, technical scoping, lightweight scripting, and last-mile solution delivery.

Google creates products and services that make the world a better place, and gTech’s role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers’ complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products.

To learn more about gTech, check out our video.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

[Bachelor's degree]

Germany: €53000 (EUR) + 0% bonus target

Spain: €33500 (EUR) + 0% bonus target

Netherlands: €49200 (EUR) + 0% bonus target

[Master's degree]

Germany: €53000 (EUR) + 0% bonus target

Spain: €33500 (EUR) + 0% bonus target

Netherlands: €49000 (EUR) + 0% bonus target

Learn more about benefits at Google.

During your internship, you will work alongside experienced PDEs to get a first-hand look at end-to-end technical deployments—from learning how to evaluate client technical maturity and map MarTech architectures, to assisting with product activation, technical scoping, lightweight scripting, and last-mile solution delivery.

Learn more about benefits at Google.

Responsibilities

• Shadow and assist PDEs during technical assessments to understand client technical architectures, advertising stacks, and first-party data strategies.
• Assist in building lightweight prototypes, proof-of-concepts, scripts (e.g., Python, JavaScript), or SQL queries to validate integration feasibility and automate deployment steps.
• Learn how technical requirements are translated into Business Requirement Documents (BRDs) and collaborate with engineering hubs (Ads Solutions Engineers) and Engagement Managers (EMs).
• Document technical workflows, capture best practices, and contribute to reusable deployment guides and blueprints.
• Map customer data flows and MarTech touchpoints to identify privacy-safe integration opportunities and support the delivery of Customer Growth Packages (CGPs).