Senior Data Engineer, Ads Marketing Analytics (Spanish, English)

Google Inc.; Ciudad de México; Presencial; MXN 600,000 - 900,000; Jornada completa

Descripción de la vacante

A leading tech company in Mexico City seeks a Senior Data Engineer for Ads Marketing Analytics. You will design and optimize data pipelines and ensure data quality for marketing insights. The ideal candidate has a Bachelor's degree, 5 years of experience in data infrastructure, and is fluent in Spanish and English. Join us to innovate and simplify Ads products using data-driven insights.

Formación

• 5 years of experience coding in one or more programming languages.
• 5 years of experience working with data infrastructure and data models.
• Experience with advanced analytics solutions involving machine learning.

Responsabilidades

• Design, develop, and maintain data pipelines to collect, process, and store data.
• Implement data quality checks and monitoring.
• Collaborate with cross-functional teams to deliver solutions.

Conocimientos

Programming languages experience

Data infrastructure knowledge

Bilingual in Spanish and English

Data quality checks

Collaboration skills

Educación

Bachelor's degree or equivalent practical experience

Herramientas

SQL

Cloud-based data platforms

Descripción del empleo

Senior Data Engineer, Ads Marketing Analytics (Spanish, English)

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Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

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info_outline X Please submit your resume in English - we can only consider applications submitted in this language.

Only applications of candidates with Mexican citizenship will be evaluated for this role in compliance with the provisions of Article 7 of the Federal Labor Law.

• Bachelor's degree or equivalent practical experience.
• 5 years of experience coding in one or more programming languages.
• 5 years of experience working with data infrastructure and data models by performing exploratory queries and scripts.
• Ability to communicate in Spanish and English fluently to support client relationship management in this region.

Preferred qualifications:

• Experience with advanced analytics solutions involving machine learning and statistical analytics, including prompt engineering techniques.
• Experience with cloud-based data platforms.
• Knowledge of data warehousing concepts, including technical architectures, infrastructure components, ETL, and reporting/analytics tools and environments.
• Proficiency in SQL and experience with data processing software.
• Ability to work cross-functionally with technical and business stakeholders, demonstrating listening, critical thinking, and problem-solving skills.
• Ability to operate in a fast-paced, constantly evolving, and collaborative environment.

About the job

gTech’s Product and Tools Operations team (gPTO) leverages deep user, operational, and technical insights to innovate Google's Ads products into customer experiences that are so intuitive (or automated) that they require no support at all. gPTO partners closely with gTech’s Support, Professional Services, Product Management, and Engineering teams to innovate and simplify our Ads products and build the productivity tools ecosystem for gTech users.

As a Data Engineer on the Ads Marketing Analytics team, you will play a vital role in building and maintaining the data infrastructure that fuels our marketing measurement. You will design, develop, and optimize data pipelines, ensuring data quality and accessibility for analysis and reporting. Your technical expertise will enable the marketing team to leverage data-driven insights to optimize campaigns and measure the impact of marketing initiatives. You will leverage AI in your work. Know the user. Know the magic. Connect the two. At its core, marketing at Google starts with technology and ends with the user, bringing both together in unconventional ways. Our job is to demonstrate how Google's products solve the world's problems--from the everyday to the epic, from the mundane to the monumental. And we approach marketing in a way that only Google can--changing the game, redefining the medium, making the user the priority, and ultimately, letting the technology speak for itself.

Responsibilities

• Design, develop, and maintain data pipelines to collect, process, and store data from various sources.
• Implement data quality checks and monitoring to ensure data accuracy and integrity.
• Collaborate with cross-functional teams (marketing, data science, engineering, analytics) to understand data requirements and deliver solutions.
• Optimize data infrastructure for performance and efficiency to meet evolving business needs.
• Create and maintain dashboards and reports to provide insights to the marketing team.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing equal employment opportunities regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related conditions (including breastfeeding), expecting or parents-to-be, criminal histories, or any other legally protected basis. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, to facilitate efficient collaboration and communication worldwide, English proficiency is a requirement for all roles unless otherwise specified.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization. Google is not responsible for any fees related to unsolicited resumes.