Remote Data Platform Engineer - Full Stack & Analytics

Mondelez International; España; Hybrid; EUR 60,000 - 90,000; Full time

Job summary

Mondelez International is seeking a versatile Full Stack Engineer with a strong Data Engineering background to join our Media Data Platform team. You will bridge complex data infrastructure and user-facing solutions, collaborating with vendors and internal stakeholders to deliver secure, scalable data products.

The role emphasizes data pipelines, dashboards, and AI-driven insights, aligned with governance and best practices.

Qualifications

• 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.

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.

Skills

Google Cloud

BigQuery

DBT

SQL

Python

PySpark

Airflow

Data modeling

Data governance

Analytical mindset

Education

Bachelor’s degree in Business/Engineering/IS

Tools

PowerBI

Tableau

Looker Studio

ETL tools

Job description

Mondelez International is seeking a versatile Full Stack Engineer with a strong Data Engineering background to join our Media Data Platform team. You will bridge complex data infrastructure and user-facing solutions, collaborating with vendors and internal stakeholders to deliver secure, scalable data products.

The role emphasizes data pipelines, dashboards, and AI-driven insights, aligned with governance and best practices.