Data Engineer (Data & Product Engineering)
Mondelez International24 days ago
Remote, Spain +3 moreSenior
Responsibilities
- Own and advance the internal media data platform.
- Design, build, and optimize data pipelines connecting various media platforms.
- Develop and maintain internal reporting tools, interactive dashboards, and AI-driven solutions.
- Ensure data platforms and products are scalable, reliable, secure, and user-friendly.
- Manage data integrity, consistency, governance, and security across pipelines and downstream applications.
- Manage external suppliers responsible for digital data platforms, data pipelines, and ETL processes.
- Ensure consistent application of software engineering practices, including version control, testing, and continuous integration.
- Verify that API, orchestration, SFTP, and other data integration infrastructure works as designed.
- Provide cleaned and transformed datasets through flat-file extracts, data marts, APIs, and other delivery mechanisms.
- Maintain data documentation and definitions.
- Support cloud data migrations and production deployment of secure, scalable Big Data solutions.
- Collaborate with product teams, vendors, and stakeholders to design software solutions and drive continuous improvement.
- Facilitate change management and maximize user adoption and business value.
Requirements
- Bachelor’s degree in Business, Engineering, Information Systems, or a related field, or equivalent experience.
- At least 5 years of experience in IT solution ownership, application management, or product ownership.
- Preferably experienced with Google Cloud solutions.
- Hands-on experience with Google Cloud, BigQuery, and dbt.
- Knowledge of SQL, Python, PySpark, and Airflow for data management and engineering.
- Experience with visualization tools such as Power BI, Tableau, and Google Looker Studio.
- Experience with media data engineering and ad tech data integration challenges.
- Strong command of SQL and practical experience with statistical techniques such as regression analysis and distributions.
- Awareness of data warehousing and data management best practices for large volumes of structured and unstructured data.
- Exceptional communication and influencing skills, including the ability to engage senior leaders and translate complex technical topics.
- Analytical, proactive, results-oriented, and able to prioritize across multiple global initiatives.
- Strong project management and prioritization abilities.
Benefits
- Regular full-time position within Mondelēz Europe GmbH’s regional business model in Switzerland.
- No relocation support is available.
- Equal opportunity employer.
Categories
Data EngineeringFull Stack
About Mondelez International
Mondelez International (NASDAQ: MDLZ) manufactures and markets snack foods—including Oreo and belVita biscuits; Cadbury, Milka and Toblerone chocolates; Trident gum; and Sour Patch Kids candy—to consumers worldwide through retail and e‑commerce channels. Formed in 2012 via the spin-off of Kraft Foods’ global snacks business, it is headquartered in the Chicago area. The company operates in more than 150 countries with a portfolio spanning biscuits, chocolate, gum, and candy.