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Data Engineer – Data & Product Engineering
Mondelēz InternationalCore Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in managing and optimizing data platforms, ensuring data integrity and security while applying software engineering best practices. Proficient in data transformation and visualization tools, with a strong focus on collaboration and continuous improvement.
Highest-signal resume keywords
Google Cloud SolutionsData Pipeline OptimizationSQL ProficiencyData Transformation TechnologiesProject Management
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Own and advance the internal media data platform
- Partner with external vendors to design, build, and optimize data pipelines connecting media platforms
- Design, develop, and maintain internal reporting tools, interactive dashboards, and AI-driven solutions
- Ensure scalability, reliability, user experience, data integrity, consistency, and security
- Manage suppliers building and maintaining digital data platforms
- Drive continuous improvement and optimization programs
- Apply software engineering best practices, including version control, testing, and continuous integration
- Ensure data integration infrastructure works as designed, including APIs, orchestration, and SFTP
- Provide cleaned and transformed datasets through flat file extracts, data marts, and APIs
- Maintain data documentation and definitions
- Facilitate change management and continuous improvement to maximize user adoption and business value
- Collaborate with vendors, internal stakeholders, Product Owners, and Business Analysts
- Develop, configure, customize, integrate, and test high-quality solutions following Agile methodologies
Requirements
What you’ll need- 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, and DBT
- Knowledge of SQL, Python, PySpark, and Airflow
- Experience with PowerBI, Tableau, or Google Looker Studio
- Experience in media data engineering and adtech data integration challenges
- Experience with data transformation technologies such as DBT
- Strong command of SQL
- Practical experience with statistical techniques such as regression analysis and distributions
- Awareness of best practices in data warehousing and management for large volumes of structured/unstructured data
- Strong project management and prioritization abilities across multiple global initiatives
Benefits
Comp & perks- No relocation support available
- Equal opportunity employment
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
SQLPythonPySparkAirflowDBTBigQueryData WarehousingStatistical TechniquesData IntegrationAgile Methodologies
Soft Skills
Project ManagementPrioritizationCollaborationChange ManagementUser Adoption
Tools & Technologies
PowerBITableauGoogle Looker StudioAPIsSFTP
Industry Keywords
Media Data EngineeringAdtech Data IntegrationData DocumentationContinuous ImprovementUser Experience