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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** Mondelez International - **Location:** Madrid, Spain - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Airflow, Application Lifecycle Management, Big Data, BigQuery, Information Systems, Continuous Integration, Information Engineering, Data Integration, Data Integrity, Extract Transform Load (ETL), Data Mart, Data Transformation, Data Warehousing, Digital Data, Python (Programming Language), Regression Analysis, Power BI, Software Construction, Software Systems, SQL Databases, Tableau (Software), Unstructured Data, Google Cloud, File Transfer Protocol (FTP), Pyspark, Data Management, Looker Analytics, Software Version Control, Data Pipelines - **Published:** July 20, 2026 - **Apply:** https://www.adzuna.es/contact-us.html ## About the Role Quality:** Ensure data integrity, consistency, and security across all pipelines and downstream applications. + **Manage suppliers** who build and maintain the digital data platforms and drive continuous improvement and optimization programs. Ensure the consistent application of software engineering best practices (e.g. version control, testing, continuous integration) + **Ensure that all data integration infrastructure works** as designed (API, orchestration, SFTP etc.) + **Provide cleaned, transformed data** sets ready for analysis through various delivery mechanisms: flat file extracts, data marts, API + **Maintain data documentation & definitions** + Facilitate change management and continuous improvement to maximize user adoption and business value. **Qualifications & Experience** **Required:** + Bachelor's degree in Business, Engineering, Information Systems, or related field (or equivalent experience). + 5+ years in IT solution ownership, application management, or product ownership - preferably with Google Cloud solutions + Hands-on experience with Google Cloud, BigQuery, DBT + Knowledge of tools, methodology for achieving the best-in-class data management (SQL, Python, PySpark, Airflow) + Experience working with visualisation tools like PowerBI, Tableau, Google Looker Studio + Experience in media data engineering and adtech data integration challenges. **What You Will Bring** A desire to drive your future and accelerate your career. You will bring experience and knowledge in: + Industry experience with data transformation technologies such as DBT. + A strong command of SQL. + Practical experience with statistical techniques and methods such as regression analysis and distributions. + Awareness of industry best practice in data warehousing and management for large volumes of structured/unstructured data. **Skills & Competencies** + Exceptional communication and influence skills -, able to ## Description user-facing solutions. **Position overview** The 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. You will 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. **How You Will Contribute** **In this role, you will collaborate with external ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [The Biggest German Tech Companies](https://www.wearedevelopers.com/magazine/424-the-biggest-german-tech-companies) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)