ppThe Media Data Platform team owns the collection, distribution of media data, and operates services that provide near real-time operational views of consumer touchpoints. We maximise capture, storage, analysis of our billions of impressions and tags, and apply analytics, algorithms, and visualisation to drive media performance monitoring, new insight creation, and activation automation back in the ad tech stack. /p h3Position Overview /h3 pThe Full Stack Engineer adheres to business and technical standards, policies, and procedures throughout the software delivery lifecycle whilst accurately sizing and estimating the effort required to deliver technical solutions. You will develop, build, configure, customise, integrate, and test high‑quality solutions based on functional and technical requirements. You will follow Agile methodologies and principles through work outputs and behaviours, and work with other Product Team members (e.g., Product Owner, Business Analyst) to ideate software solutions. You will act as the champion and advocate via a thorough understanding of Google cloud technologies, helping to deploy Big Data solutions, provide guidance for vendors designated to build and manage data pipelines ETL processes, and cloud data migrations in a production, secure and scalable manner. /p h3How You Will Contribute /h3 pYou will collaborate with external vendors and internal stakeholders to bridge the gap between complex data engineering and real business impact. You will work with project resources to provide design collateral and configure software components that are aligned with security policy and governance, ensure adherence to configuration standards and processes, and share your knowledge of the technology with relevant stakeholders. /p h3Key Responsibilities /h3 ul liData Engineering Pipeline Management:



Own and advance our internal media data platform. Partner with external vendors to design, build, and optimise robust data pipelines connecting various media platforms. /li liFull‑Stack Product Development: Transition data into actionable products. Design, develop, and maintain internal reporting tools, interactive dashboards, and AI‑driven solutions. /li liProduct‑Oriented Execution: Adopt a product mindset—ensuring scalability, reliability, and a great user experience for all internal data tools. /li liData Governance Quality: Ensure data integrity, consistency, and security across all pipelines and downstream applications. /li liManage suppliers who build and maintain the digital data platforms and drive continuous improvement and optimisation programmes. Ensure the consistent application of software engineering best practices (e.g., version control, testing, continuous integration). /li liEnsure that all data integration infrastructure works as designed (API, orchestration, SFTP, etc.). /li liProvide cleaned, transformed data sets ready for analysis through various delivery mechanisms: flat file extracts, data marts, API. /li liMaintain data documentation definitions. /li liFacilitate change management and continuous improvement to maximise user adoption and business value. /li /ul h3Qualifications Experience /h3 ul liBachelor’s degree in Business, Engineering, Information Systems, or related field (or equivalent experience).



/li li5+ years in IT solution ownership, application management, or product ownership—preferably with Google Cloud solutions. /li liHands‑on experience with Google Cloud, BigQuery, DBT. /li liKnowledge of tools and methodology for achieving best‑in‑class data management (SQL, Python, PySpark, Airflow). /li liExperience working with visualisation tools like PowerBI, Tableau, Google Looker Studio. /li liExperience in media data engineering and ad‑tech data integration challenges. /li /ul h3What You Will Bring /h3 ul liIndustry experience with data transformation technologies such as DBT. /li liA strong command of SQL. /li liPractical experience with statistical techniques and methods such as regression analysis and distributions. /li liAwareness of industry best practice in data warehousing and management for large volumes of structured/unstructured data. /li /ul h3Skills Competencies /h3 ul liExceptional communication and influence skills—able to engage senior leaders, translate complex regulatory/tech topics, and drive consensus. /li liAnalytical mindset with focus on data accuracy, cost optimisation, and sustainability impact measurement. /li liProactive, results‑oriented; thrives in fast‑paced, evolving data environments. /li liStrong project management and prioritisation abilities across multiple general initiatives. /li /ul pNo Relocation support available. /p pMondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. /p pJob Type: Regular /p /p #J-18808-Ljbffr

📌 Data Engineer (Data & Product Engineering) (Madrid)
🏢 Mondelez International
📍 Madrid