Full Stack Engineer (Data & Product Engineering) (Madrid)

Full Stack Engineer (Data & Product Engineering) (Madrid)

03 ago
|
Mondelez International
|
Madrid

03 ago

Mondelez International

Madrid

Experteer Overview In this role, you will bridge complex data infrastructure and user-facing solutions within Mondelēz’s Media Data Platform. You’ll help design, build, and operate data pipelines and analytics tools that empower media performance insights. Working in a product-oriented environment, you will deliver scalable, secure dashboards and AI-driven features for internal stakeholders. You’ll collaborate with vendors and cross-functional teams to transform data into valuable business outcomes, guided by cloud-native, best-practice data engineering. This is a hands-on, impact-focused opportunity at scale in adtech data integration.Compensaciones / Ventajas
- Own and advance the internal media data platform and data pipelines with external vendors
- Design, develop, and maintain internal reporting tools, dashboards, and AI-driven solutions
- Adopt a product mindset to ensure scalability, reliability, and strong user experience for internal data tools
- Ensure data governance, quality, security,



and consistency across pipelines and downstream apps
- Manage suppliers and drive continuous improvement and best practices in software engineering
- Maintain data integration infrastructure (API, orchestration, SFTP, etc.) and provide cleaned data sets via multiple delivery mechanisms
- Maintain data documentation and definitions; support change management and user adoptionResponsabilidades
- 5+ years in IT solution ownership, application management, or product ownership
- Hands-on experience with Google Cloud solutions; 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 challenges
- Strong SQL and data transformation experience; knowledge of data warehousing best practicesRequisitos principales
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📌 Full Stack Engineer (Data & Product Engineering) (Madrid)
🏢 Mondelez International
📍 Madrid

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