Remote Data & AI Engineer - Full-Stack Analytics

Primus Global Solutions (Primus Uk & Europe); Madrid; Presencial; EUR 60.000 - 90.000; Jornada completa

Descripción de la vacante

Mondelēz International is seeking a versatile Full Stack Engineer with a strong foundation in Data Engineering to join our Media Data Platform team. You will bridge data infrastructure and user-facing solutions, develop high-quality data tools, and contribute to a product-minded digital data platform across multiple markets.

You will collaborate with vendors and internal stakeholders to ensure secure, scalable data pipelines, implement Big Data solutions on Google Cloud, and deliver

Formación

• Bachelor's degree in Business, Engineering, Information Systems, or related field.
• 5+ years in IT solution ownership, application management, or product ownership with Google Cloud exposure.
• Hands-on experience with Google Cloud, BigQuery, DBT.
• Knowledge of SQL, Python, PySpark, Airflow for data pipelines.
• Experience with visualisation tools like PowerBI, Tableau, Looker Studio.

Responsabilidades

• Own and advance the internal media data platform and partner with vendors to design data pipelines.
• Design, develop, and maintain internal reporting tools and dashboards.
• Ensure scalability, reliability and good UX for internal data tools in a product mindset.
• Collaborate with data scientists to map data fields to hypotheses and model data accordingly.
• Maintain data documentation and support data governance and security across pipelines.

Conocimientos

Google Cloud

BigQuery

DBT

Python

PySpark

Airflow

SQL

Data governance

Educación

Bachelor's degree in a related field

Herramientas

PowerBI

Tableau

Looker Studio

Descripción del empleo

Mondelēz International is seeking a versatile Full Stack Engineer with a strong foundation in Data Engineering to join our Media Data Platform team. You will bridge data infrastructure and user-facing solutions, develop high-quality data tools, and contribute to a product-minded digital data platform across multiple markets.

You will collaborate with vendors and internal stakeholders to ensure secure, scalable data pipelines, implement Big Data solutions on Google Cloud, and deliver