Mondelēz International, Inc. (NASDAQ: MDLZ) is an American multinational confectionery, food, and beverage company based in Illinois which employs approximately 80,000 individuals around the world.

Our Purpose
Our purpose is to empower people to snack right. We will lead the future of snacking around the world by offering the right snack, for the right moment, made the right way.

Our Brands
We’re leading the future of snacking with iconic brands such as Oreo, belVita and LU biscuits; Cadbury Dairy Milk, Milka and Toblerone chocolate; Sour Patch Kids candy and Trident gum.

Our People
Our 80,000+ colleagues around the world are key to the success of our business. Our Values and Leadership Commitments of Love our Consumers and Brands, Grow Every Day, and Do What's Right shapes our culture – what we believe in, stand for, and what guides our actions and decisions. Great people and great brands. That’s who we are.

Our Strategies
We are uniquely positioned to lead the future of snacking with strong leadership in our categories, an unparalleled portfolio of global and local brands and a solid footprint in fast-growing markets. Aimed at delivering sustainable growth, our strategic plan is centered around three strategic priorities:

• Growth: accelerate consumer-centric growth
• Execution: drive operational excellence
• Culture: build a winning growth culture

Join our mission to change the way the world snacks. Make It With Pride.

You will:

• Proficient understanding of data modeling and data engineering principles in a business context, with experience in working across various systems, including SAP, internal, and external data sources.
• Analyze business requirements to guide data modeling and apply techniques for design, quality assurance, and data structure development.
• Experience in developing, testing, and maintaining data products.
• Experience in using diverse range of programming languages and tools, for data extraction, transformation, storage, processing, and integration.
• Develop and maintain data models, including conceptual, logical, and physical models, to represent data entities, relationships, and structures.
• Implement data quality standards for accuracy, consistency, and reliability.
• Design and optimize database structures, tables, and schemas to support efficient data storage and retrieval.
• Develop and implement data transformation and integration processes to facilitate the movement of data between systems and ensure data consistency.
• Create and maintain documentation for data models, database schemas, and integration processes.
• Effectively communicate technical concepts to diverse audiences and collaborate with business teams to align with organizational goals.
• Work closely with other data analysts, data scientists, and other stakeholders to implement and maintain data solutions.
• Monitor and optimize data models and database performance to ensure efficient data access and processing.
• Adhere to data governance policies and best practices to maintain data security, privacy, and compliance.

What You Will Bring

A desire to drive your future and accelerate your career and the following experience and knowledge:

• Proven experience in data modeling, database design, and data analysis.
• Proficiency in data modeling tools.
• Strong SQL skills for querying and manipulating data.
• Familiarity with database management systems (e.g., SQL Server, Oracle, MySQL).
• Knowledge of data warehousing concepts, ETL processes, data pipelines and architecture
• Understanding of data governance and data quality principles.
• Experience with CI/CD, DevOps, and Data Ops techniques.
• Experience creating and maintaining Technical Documentation
• Experience in data modelling and wrangling techniques and tools i.e., Star Schema, Snowflake Schema, Data vault, Alteryx, Power BI, Tableau, etc.
• Data quality and profiling methods
• Good communication skills to promote cross-team collaboration.
• Passion for problem solving and comfort with ambiguity.
• Attention to detail and a commitment to data accuracy.

What you need to know about this position:

Education / Certifications:

• Bachelor's Degree in Computer Science, Information Systems, Engineering or related discipline.
• 1+ years Data Engineering/Modeling
• 3+ years Database Design
• Cloud computing technologies (Azure, GCP)
• Programming Languages: SQL, Python, PySpark (Apache Spark), DAX, etc.
• Analytics platforms: Databricks, Google Cloud Dataproc, etc.
• Certification in data modeling or related areas (e.g., Certified Data Management Professional, CDMP, or GCP certification) is a plus.

Job specific requirements:

• Proven experience as a Power BI Developer with an advanced level of expertise.
• Lead business requirement sessions to support the business to understand requirements for analytical projects and develop necessary requirement documents to support their development.
• Develop UAT (User Acceptance Testing) and SIT (System Integration Testing) test cases for based off data product requirements .
• Lead building, testing, and maintaining of transports/data pipelines and retrieving applicable data sets for specific use cases.
• Lead building, testing, and maintaining of data models with the flexibility to change when business requirements change, while also reconciling multiple logical source models into a single, logically consistent model.
• Analyze the structure, format, and reliability of new and existing data sources, considering factors such as data integrity, completeness, and accuracy.
• Participate in data governance processes to ensure data is properly maintained and document for reusability by the business
• Understand data and metadata to support consistency of information retrieval, combination, analysis, pattern recognition and interpretation. Mentor and guide junior members
• Partner with technology organization MDS to commercialize solutions, enhance data management, and develop analytical capabilities.
• Partner with PMO organization to drive project completion within scope, time, and budget

Travel requirements:

Up to 10%