Data & AI Engineer

Mondelez International
Madrid, Spain
3 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

LangGraph Framework Unity 3d Application Programming Interfaces (APIs) Artificial Intelligence Airflow Amazon Web Services Software Applications BigQuery Bioinformatics Cloud Computing Cloud Storage Code Review
+40 more
Continuous Integration Information Engineering Data Infrastructure Data Integration Extract Transform Load (ETL) Data Migration Data Flow Control Python (Programming Language) Machine Learning Prometheus SQL Databases Data Streaming Systems Integration Unstructured Data Data Logging Feature Store Google Cloud LangChain Retrieval-Augmented Generation Large Language Models Grafana Multi-Agent Systems Prompt Engineering Apache Spark Backend Agentic-AI Git Containerization Data Lakes CrewAI Adserver AutoGen Machine Learning Operations Cloudwatch Trident Restful APIs Terraform Data Pipelines Docker Databricks

Job description

Bucharest, Romania

Madrid, Spain

Barcelona, Spain

Warsaw, Poland

Full time

R-170131

Job Description

Are You Ready to Make It Happen at MondelΔ“z 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 MondelΔ“z 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.

MondelΔ“z 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

At MondelΔ“z International, our purpose is to empower people to snack right through offering the right snack, for the right moment, made the right way. That means delivering a broader range of delicious, high-quality snacks that nourish life’s moments, made with sustainable ingredients and packaging that consumers can feel good about.

We have a rich portfolio of strong brands - both global and local. Including many household names such as Oreo, belVita and LU biscuits; Cadbury Dairy Milk, Milka and Toblerone chocolate; Sour Patch Kids candy and Trident gum. We are proud to hold the number 1 position globally in biscuits, chocolate and candy as well as the No. 2 position in gum

Our 80,000 Makers and Bakers are located in our operations in more than 80 countries and are working to sell our products in over 150 countries around the world. They are energized for growth and critical to us living our purpose and values. We are a diverse community that can make things happen, and happen fast.

Join us and Make It An Opportunity!

Mondelez Global LLC is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected Veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law. Applicants who require accommodation to participate in the job application process may contact 847-943-5460 for accommodation.

Requirements

  • 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.

About the company

The responsibilities of this position are performed within the framework of a regional business model that is defined and managed by MondelΔ“z Europe GmbH, Switzerland ., 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., At MondelΔ“z International, our purpose is to empower people to snack right through offering the right snack, for the right moment, made the right way. That means delivering a broader range of delicious, high-quality snacks that nourish life’s moments, made with sustainable ingredients and packaging that consumers can feel good about.

We have a rich portfolio of strong brands - both global and local. Including many household names such as Oreo, belVita and LU biscuits; Cadbury Dairy Milk, Milka and Toblerone chocolate; Sour Patch Kids candy and Trident gum. We are proud to hold the number 1 position globally in biscuits, chocolate and candy as well as the No. 2 position in gum

Our 80,000 Makers and Bakers are located in our operations in more than 80 countries and are working to sell our products in over 150 countries around the world. They are energized for growth and critical to us living our purpose and values. We are a diverse community that can make things happen, and happen fast.

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