Google
Product Deployment Engineer BS/MS, Intern - 2027 (English)
Found: Today
Product Deployment Engineer BS/MS, Intern - 2027 (English)
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.
- Strong problem solving skills with a track record to debug complex and ambiguous challenges.
- 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 complete a 13 week full-time internship in the UK starting in either May, June or July 2027.
- Ability to learn complex system architectures, privacy-safe data ecosystems, and Google Ads products.
- Interest for Marketing Technology, and learning how online platforms, databases, privacy frameworks and customer management systems/ tools interact behind the scenes.
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 (e.g., 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).