Data Engineer (Data & Product Engineering)

Mondelēz International; España; On-site; EUR 90,000 - 120,000; Full time

Job summary

Mondelēz International is seeking a Full Stack Data Platform Engineer to drive data pipelines and analytics for media data. You will design and implement scalable data solutions, partner with vendors, and deliver actionable insights through internal dashboards and AI-driven tools.

The role emphasizes collaboration with cross-functional teams, cloud-based data migrations, and governance to maximize business value across Mondelēz’s regional platforms.

Qualifications

• Bachelor’s degree in Business, Engineering, Information Systems, or related field.
• 5+ years in IT solution ownership, application management, or product ownership.
• Hands-on experience with Google Cloud, BigQuery, DBT.
• Knowledge of data management tools and languages (SQL, Python, PySpark, Airflow).
• Experience with visualization tools (PowerBI, Tableau, Looker Studio).
• Experience in media data engineering and adtech data integration.

Responsibilities

• Own and advance the internal media data platform, designing robust data pipelines.
• Develop, maintain internal reporting tools and AI-driven solutions.
• Ensure scalability, reliability, and great UX for data tools.
• Govern data integrity, security, and compliant data handling.
• Manage external suppliers and drive continuous improvement in data platforms.

Skills

SQL

Python

PySpark

Airflow

Looker Studio

Education

Bachelor’s degree

Tools

Google Cloud Platform

BigQuery

DBT

PowerBI

Tableau

Looker Studio

Job description

Job Description

Are You Ready to Make It Happen at Mondelēz International?

Join our Mission to Lead the Future of Snacking. Make It Uniquely Yours.

Media Data Platform team owns the collection, distribution of media data and operates services that provide near real-time operational views of consumer touchpoints. We maximise capture, storage, analysis of our billions of impressions and tags, and apply analytics, algorithms and visualisation to drive media performance monitoring, new insight creation and activation automation back in the ad tech stack.

Job Description

Are You Ready to Make It Happen at Mondelēz International?

Join our Mission to Lead the Future of Snacking. Make It Uniquely Yours.

Media Data Platform team owns the collection, distribution of media data and operates services that provide near real-time operational views of consumer touchpoints. We maximise capture, storage, analysis of our billions of impressions and tags, and apply analytics, algorithms and visualisation to drive media performance monitoring, new insight creation and activation automation back in the ad tech stack.

Position Overview

The Full Stack Engineer adheres to business and technical standards, policies, and procedures throughout the software delivery lifecycle whilst accurately sizing and estimating the effort required to deliver technical solutions. You will develop, build, configure, customise, integrate, and test high-quality solutions based on functional and technical requirements. You will follow Agile methodologies and principles through work outputs and behaviours. You will work with other Product Team members (e.g., Product Owner, Business Analyst) to ideate software solutions.

You will act as the champion and advocate via a thorough understanding of Google cloud technologies, helping to deploy Big Data solutions, provide guidance for vendors designated to build and manage data pipelines & ETL processes, and cloud data migrations in a production, secure and scalable manner.

How You Will Contribute

In this role, you will collaborate with external vendors and internal stakeholders to bridge the gap between complex data engineering and real business impact.

You will work with project resources to provide design collateral and to configure software components that are aligned with security policy and governance, ensure adherence configuration standards and processes, and share your knowledge of the technology with relevant stakeholders.

Key Responsibilities

• Data Engineering & Pipeline Management: Own and advance our internal media data platform. Partner with external vendors to design, build, and optimize robust data pipelines connecting various media platforms.
• Full-Stack Product Development: Transition data into actionable products. Design, develop, and maintain internal reporting tools, interactive dashboards, and AI-driven solutions.
• Product-Oriented Execution: Adopt a product mindset - ensuring scalability, reliability, and a great user experience for all internal data tools.
• Data Governance & Quality: Ensure data integrity, consistency, and security across all pipelines and downstream applications.
• Manage suppliers who build and maintain the digital data platforms and drive continuous improvement and optimization programs. Ensure the consistent application of software engineering best practices (e.g. version control, testing, continuous integration)
• Ensure that all data integration infrastructure works as designed (API, orchestration, SFTP etc.)
• Provide cleaned, transformed data sets ready for analysis through various delivery mechanisms: flat file extracts, data marts, API
• Maintain data documentation & definitions
• Facilitate change management and continuous improvement to maximize user adoption and business value.

Qualifications & Experience

Required:

• Bachelor’s degree in Business, Engineering, Information Systems, or related field (or equivalent experience).
• 5+ years in IT solution ownership, application management, or product ownership — preferably with Google Cloud solutions
• Hands-on experience with Google Cloud, BigQuery, DBT
• Knowledge of tools, methodology for achieving the best-in-class data management (SQL, Python, PySpark, Airflow)
• Experience working with visualisation tools like PowerBI, Tableau, Google Looker Studio
• Experience in media data engineering and adtech data integration challenges.

What You Will Bring

A desire to drive your future and accelerate your career. You will bring experience and knowledge in:

• Industry experience with data transformation technologies such as DBT.
• A strong command of SQL.
• Practical experience with statistical techniques and methods such as regression analysis and distributions.
• Awareness of industry best practice in data warehousing and management for large volumes of structured/unstructured data.

Skills & Competencies

• Exceptional communication and influence skills — able to engage senior leaders, translate complex regulatory/tech topics, and drive consensus.
• Analytical mindset with focus on data accuracy, cost optimization, and sustainability impact measurement.
• Proactive, results-oriented; thrives in fast-paced, evolving data environments.
• Strong project management and prioritization abilities across multiple global initiatives.

Work schedule:

The responsibilities of this position are performed within the framework of a regional business model that is defined and managed by Mondelēz Europe GmbH, Switzerland.

No Relocation support available

Business Unit Summary

At Mondelēz International, our purpose is to empower people to snack right by offering the right snack, for the right moment, made the right way. That means delivering a broad range of delicious, high-quality snacks that nourish life's moments, made with sustainable ingredients and packaging that consumers can feel good about.

We have a rich portfolio of strong brands globally and locally including many household names such as Oreo, belVita and LU biscuits; Cadbury Dairy Milk, Milka and Toblerone chocolate; Sour Patch Kids candy and Trident gum. We are proud to hold the top position globally in biscuits, chocolate and candy and the second top position in gum.

Our 80,000 makers and bakers are located in more than 80 countries and we sell our products in over 150 countries around the world. Our people are energized for growth and critical to us living our purpose and values. We are a diverse community that can make things happen - and happen fast.

Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.

Job Type

Regular

Software & Applications

Technology & Digital