Data & AI engineer in adtech

Mondelēz International; Barcelona; On-site; EUR 70,000 - 110,000; Full time

Job summary

Mondelēz International ищет Data & AI Engineer для работы над встроенной медиа-экосистемой MDLZ. Ваша задача — проектировать конвейеры данных, интеграции и AI-решения, которые собирают и активируют данные из внешних медиа-платформ для стратегических решений в глобальном масштабе.

Кандидат будет работать на стыке data engineering, cloud-инфраструктуры и прикладного AI, взаимодействуя с командами Product, Engineering и Architecture в рамках Marketing & I&A Products.

Qualifications

• Сильное владение Python и опыт создания production-grade data pipelines.
• Опыт работы с GCP (BigQuery, DBT, Cloud Storage) и AWS, Databricks.
• Понимание ETL/ELT, SQL, моделирования данных и работы с структурированными/неструктурированными данными.
• Опыт в AI/ML-инженерии: интеграция LLM, промпт-инжиниринг, RAG-пайплайны.
• Опыт с REST API, потоками данных, оркестрацией (Airflow/Cloud Composer) и DBT.
• Основы Git, CI/CD, тестирования, Docker и Terraform.
• Сильные коммуникативные навыки; способность работать в кросс-функциональной среде.

Responsibilities

• Разработка, построение и оптимизация конвейеров данных для ingest, трансформации и подачи медиаданных.
• Разработка и внедрение AI/ML-моделей и LLM-процессов для генерации инсайтов по медиаэффективности.
• Создание и поддержка API и бэкенд-служб для доступа к данным и инсайтам бизнес-пользователям.
• Мониторинг, логирование и алерты для обеспечения надежности и контроля затрат.
• Сотрудничество с продуктовыми, инженерными и архитектурными командами across Marketing & I&A.
• Участие в архитектурных решениях инфраструктуры (IaC, Terraform), контейнеризация (Docker) и CI/CD.
• Писать чистый, протестированный код и участвовать в обзоре кода и спринтах.

Job description

Описание

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.

Задачи

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.

Требования

• 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-functional and translate technical topics to business stakeholders.
• Intellectual curiosity and a bias for learning in a fast-moving data and AI environment.

Будет плюсом

• 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

Условия

No Relocation support available