Data & AI Engineer

Mondelēz International; Barcelona; On-site; EUR 75,000 - 110,000; Full time

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

Job Description

Are You Ready to Make It Happen at Mondelēz International?

Join our Mission to Lead the Future of Snacking. Make It Uniquely Yours.

About the Role

The Media Data Platform (MDP) team is looking for a Data & AI Engineer to join a growing squad building MDLZ's in-house media ecosystem. You will design and deliver data pipelines, integrations, and AI-driven solutions that ingest, transform, and activate data from external media platforms — enabling smarter media investment decisions at global scale. The role sits at the intersection of data engineering, cloud infrastructure, and applied AI, working closely with Product, Engineering, and Architecture teams across Marketing & I&A Products.

Key Responsibilities

• Design, build, and optimise data pipelines that ingest, transform, and serve media data from external platforms (DSPs, SSPs, ad servers, social media, measurement partners) using Python, Databricks, GCP (BigQuery, Dataflow), and AWS.
• Develop and deploy AI/ML models and LLM-based workflows — including RAG pipelines, prompt engineering, and agent orchestration — to generate media performance insights and activation intelligence.
• Build and maintain APIs and backend services that surface media data and AI-generated insights to business users and downstream applications.
• Implement monitoring, logging, and alerting for pipelines and models to ensure reliability, performance, and cost-efficiency in production.
• Collaborate with Product Owners, Engineering, and Architects across Marketing & I&A Products to translate business requirements into scalable, reliable technical solutions.
• Contribute to platform architecture decisions including infrastructure-as-code (Terraform), containerisation (Docker), and CI/CD practices.
• Write clean, tested, well‑documented code; participate in code reviews, sprint ceremonies, and knowledge‑sharing across the team.

How You Will Contribute

We Are Looking For Candidates With

• Strong proficiency in Python and experience building production‑grade data pipelines or applications.
• Hands‑on experience with GCP (BigQuery, DBT, Cloud Storage) and AWS, plus Databricks (Spark, Delta Lake, Unity Catalog).
• Solid understanding of data engineering — ETL/ELT, SQL, data modelling, and working with structured and unstructured data at scale.
• Exposure to AI/ML engineering — LLM integration, prompt engineering, RAG pipelines, or agent‑based architectures.
• Experience with data integration patterns: REST APIs, streaming, orchestration (Airflow/Cloud Composer), and DBT.
• Solid software engineering fundamentals: Git, CI/CD, testing, Docker, and Terraform.
• Strong communication skills; able to work cross‑functionally and translate technical topics to business stakeholders.
• Intellectual curiosity and a bias for learning in a fast‑moving data and AI environment.

Nice to Have

• Experience in media data engineering and adtech integrations (DSPs, SSPs, ad servers, social platforms,
• Experience with agent orchestration frameworks (e.g. LangChain, LangGraph, AutoGen, CrewAI).
• Familiarity with the Databricks ecosystem (MLflow, Feature Store, Genie).
• Exposure to NLP or multimodal AI.
• Experience with monitoring/observability tools (e.g. Prometheus, Grafana, CloudWatch).
• Prior experience in a CPG/FMCG environment.

The responsibilities of this position are performed within the framework of a regional business model that is defined and managed by Mondelēz Europe GmbH, Switzerland.

No Relocation support available

Business Unit Summary

At Mondelez Europe, we are proud, not only of the iconic brands we make, but also of the people who make them. Our delicious products are created in 52 plants across Europe by more than 28,000 passionate people. We are the top maker of chocolate and biscuits and a leading maker of gum and candy. We make sure our powerful global brands and local jewels like Cadbury, Milka and Alpen Gold chocolates, Oreo, belVita, LU and Tuc biscuits get safely into our customers hands—and mouths. Great people and great brands. That’s who we are. Join us on our journey to continue leading the future of snacking around the world by offering the right snack, for the right moment, made the right way.

Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.

Job Type

Regular

Software & Applications

Technology & Digital