Full Stack Engineer (Data & Product Engineering)
Experteer Overview
No espere a enviar su solicitud después de leer esta descripción; se espera un gran volumen de candidaturas para esta oportunidad.
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 / Beneficios
• 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 adoption
Responsabilidades
• 5+ years in IT solution ownership, xqbhyrx 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 practices
Requisitos principales
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No espere a enviar su solicitud después de leer esta descripción; se espera un gran volumen de candidaturas para esta oportunidad.
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 / Beneficios
• 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 adoption
Responsabilidades
• 5+ years in IT solution ownership, xqbhyrx 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 practices
Requisitos principales
•