Data & AI Engineer: Media Data & Insights

Mondelēz International

Barcelona

On-site

EUR 75,000 - 110,000

Full time

14 days+

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Job summary

Mondelēz International in Barcelona seeks a Data & AI Engineer to build and optimise data pipelines and AI-driven solutions for a global media ecosystem. You will work at the intersection of data engineering, cloud infrastructure, and applied AI, partnering with Product, Engineering, and Architecture teams across Marketing & I&A products.

You will design production-grade data pipelines, develop AI/ML models, and build APIs to surface insights to business users.

Qualifications

  • Experience building production-grade data pipelines and AI-enabled workflows.

Responsibilities

  • Design, build, and optimise data pipelines ingesting data from external media platforms.
  • Develop and deploy AI/ML models and LLM-based workflows for insights and activation.
  • Build and maintain APIs and backend services to surface data and insights to users.
  • Implement monitoring and cost controls for pipelines and models in production.
  • Collaborate with Product, Engineering, and Architecture teams to deliver scalable solutions.
  • Contribute to IaC (Terraform), containerisation (Docker), and CI/CD practices.
  • Write clean, tested code and participate in code reviews and sprints.

Skills

Python programming
Data pipeline development
Cloud data engineering
LLM integration
Cross-functional collaboration
Problem solving
Strong communication

Education

Bachelor's or Master's in CS or related field

Tools

Databricks
GCP BigQuery
AWS
Dataflow
DBT
Docker
Terraform
Airflow / Cloud Composer

Job description

Mondelēz International in Barcelona seeks a Data & AI Engineer to build and optimise data pipelines and AI-driven solutions for a global media ecosystem. You will work at the intersection of data engineering, cloud infrastructure, and applied AI, partnering with Product, Engineering, and Architecture teams across Marketing & I&A products.

You will design production-grade data pipelines, develop AI/ML models, and build APIs to surface insights to business users.

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