06 ago
|
Mondelez International
|
Madrid
06 ago
Mondelez International
Madrid
Experteer Overview No espere a enviar su solicitud después de leer esta descripción; se espera un gran volumen de candidaturas para esta posibilidad. 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 adoptionResponsabilidades• 5+ years in IT solution ownership, xcskxlj 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•
📌 Full Stack Engineer (Data & Product Engineering) (Madrid)
🏢 Mondelez International
📍 Madrid