Data Engineer for Media Analytics & AI Pipelines

Between Group

Madrid

On-site

EUR 90,000 - 120,000

Full time

2 days ago
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Job summary

Mondelēz International is seeking a Data & AI Engineer in Madrid to design and deliver data pipelines, AI-driven insights, and platform integrations across marketing data sources.

You will work with Python, GCP, AWS, Databricks, and Terraform, building scalable solutions, APIs, and CI/CD processes while collaborating with product and engineering teams.

If you enjoy turning complex data into actionable business intelligence, this role offers hands-on impact in a fast-paced, global snack company.

Qualifications

  • Proficiency in Python and production-grade data pipelines.
  • Experience with GCP (BigQuery, DBT, Cloud Storage) and AWS, plus Databricks.
  • Strong ETL/ELT, SQL, data modelling for structured and unstructured data.
  • Exposure to AI/ML engineering: LLM integration, prompt engineering, RAG pipelines.
  • Experience with data integration patterns: REST APIs, streaming, orchestration (Airflow/Cloud Composer).
  • Solid software engineering fundamentals: Git, CI/CD, testing, Docker, Terraform.
  • Strong communication and cross-functional collaboration.
  • Intellectual curiosity and bias for learning in fast-moving data/AI environment.

Responsibilities

  • Design, build, and optimise data pipelines that ingest, transform, and serve media data from external platforms using Python, Databricks, GCP, and AWS.
  • Develop and deploy AI/ML models and LLM-based workflows to generate media performance insights and activation intelligence.
  • Build and maintain APIs and backend services that surface media data and AI insights to business users and downstream apps.
  • Implement monitoring, logging, and alerting for pipelines and models to ensure reliability and cost-efficiency.
  • Collaborate with Product Owners, Engineering, and Architects to translate requirements into scalable solutions.
  • Contribute to platform architecture decisions including Terraform, Docker, and CI/CD practices.
  • Write clean, tested, well-documented code; participate in code reviews and agile ceremonies.

Skills

Python
Data pipelines
GCP
AWS
Databricks
AI/ML
LLM
APIs
Terraform
Docker
CI/CD
SQL
Airflow
Communication
Learning fast

Education

Bachelor's degree in CS/EE/related field

Tools

BigQuery
Dataflow
DBT
Unity Catalog

Job description

Mondelēz International is seeking a Data & AI Engineer in Madrid to design and deliver data pipelines, AI-driven insights, and platform integrations across marketing data sources.

You will work with Python, GCP, AWS, Databricks, and Terraform, building scalable solutions, APIs, and CI/CD processes while collaborating with product and engineering teams.

If you enjoy turning complex data into actionable business intelligence, this role offers hands-on impact in a fast-paced, global snack company.

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