HR Senior Data Engineer Lead

Job Description

Are You Ready to Make It Happen at Mondelēz International

Join our Mission to Lead the Future of Snacking. Make It With Pride.

You will be crucial in supporting our business by creating valuable actionable insights about the data and communicating yourfindings to the business. You will work with various stakeholders to determine how to use business data for business solutions/insights.

How you will contribute

You will:

• Analyzeand derive value from data through the application methods suchas mathematics statisticscomputer science machine learning and this role you will also formulate hypotheses and test them usingmath statistics visualization andpredictivemodeling
• Understand business challenges create valuable actionable insights about the data and communicate your findings to the business. After that you will work with stakeholders to determine how to use business data for business solutions/insights
• Enable data-driven decision making by creating custom models or prototypes from trends or patterns discernedand by underscoring with other technical/functional teams to implement models and monitor results
• Apply mathematical statistical predictive modelling or machine-learning techniques and withsensitivity to the limitations of the techniques. Select acquire and integrate data for analysis. Develop datahypotheses and methods train and evaluate analytics models share insights and findings and continues toiterate with additional data
• Develop processes techniques and tools toanalyzeand monitor model performance while ensuring dataaccuracy
• Evaluate the need for analytics assess the problems to be solved and what internal or external data sourcesto use or acquire. Specify and apply appropriate mathematical statistical predictive modelling or machine-learning techniques toanalyzedata generate insights create value and support decision making
• Contribute to exploration and experimentation in data visualization and you will manage reviews of the benefits and value of analytics techniques and tools and recommend improvements

What you will bring

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

• Strong quantitative skillset with experience in statistics and linear algebra.
• A natural inclination toward solving complex problems
• Knowledge/experience with statistical programming languages including R Python SQL etc. toprocess data and gain insights from it
• Knowledge of machine learning techniques including decision-tree learning clustering artificialneural networks etc. and their pros and cons
• Knowledge and experience in advanced statistical techniques and concepts includingregression distribution properties statistical testing etc.
• Good communication skills to promote cross-team collaboration
• Multilingual coding knowledge/experience: Java JavaScript C C etc.
• Experience/knowledge in statistics and data mining techniques including random forestGLM/regression social network analysis text mining etc. Ability to use data visualization tools to showcase data for stakeholders

More about this role

What you need to know about this position:

Current State Management & Optimization (Foundational Data Systems):

• Manage organize and optimize data stored across various Microsoft applications with a primary focus on SharePoint lists Excel workbooks ensuring data integrity and accessibility.
• Design develop and maintain efficient processes for data collection validation transformation and movement using tools such as Power Query advanced Excel functions VBA or Power Automate/Apps to support reporting needs.
• Develop and maintain data models logic and aggregations required to support existing dashboards and reports (e.g. Power BI) drawing from these foundational data sources.
• Collaborate closely with business users and analysts to understand their data requirements and ensure timely and accurate delivery of information.
• Proactively troubleshoot data-related issues identify root causes and implement effective solutions to minimize disruptions and maintain data quality within the current ecosystem.
• Document existing data structures flows and business logic to ensure clarity and maintainability.

Future State Vision & Implementation (Cloud Data Modernization):

• Provide technical leadership in the evaluation selection and eventual adoption of new cloud-based data technologies and platforms (e.g. Azure Data Lake AWS S3/Glue/Redshift Google Cloud Storage/BigQuery/Dataflow).
• Architect and design scalable resilient and cost-effective cloud data lake solutions including strategies for data ingestion storage processing frameworks and data governance in anticipation of future investments.
• Develop and implement proof-of-concepts (POCs) for modern data warehousing data lake and big data technologies to demonstrate value and guide strategic decisions.
• Serve as a technical mentor and subject matter expert on best practices for data engineering data governance and data security in a cloud environment.
• Collaborate with IT and business stakeholders to define a forward-looking data strategy roadmaps and project plans for technology upgrades and migrations.
• Stay abreast of industry trends emerging technologies and best practices in data engineering and cloud data platforms bringing innovative solutions to the forefront.

What extra ingredients you will bring:

Education / Certifications:

Job specific requirements:

• Approximately 10 years of professional experience in roles focused on data management data analysis business intelligence or similar with a strong emphasis on data organization and transformation.
• Deep and demonstrable proficiency with the Microsoft Office Suite specifically advanced Excel capabilities (e.g. Power Query complex formulas VBA Dataflow Power BI) Access databases and extensive experience managing data within SharePoint lists and libraries.
• Proven experience in supporting and enhancing business intelligence dashboards and reporting tools (e.g. Power BI) from diverse data sources.
• Experience with Microsoft Power Automate Power Apps or other low-code automation tools for data orchestration.
• Experience with scripting languages such as Python or VBA for data manipulation or process automation.
• Exceptional ability to manage cleanse structure data effectively even in non-traditional database environments.
• Excellent problem-solving skills with the ability to diagnose complex data challenges and provide practical solutions.
• Strong analytical mindset with a clear aptitude and eagerness to learn evaluate and strategically implement new complex cloud-based data technologies.
• Strong communication skills both written and verbal with the ability to articulate technical concepts clearly to both technical and non-technical stakeholders.
• A plus but not required Familiarity with data governance data quality and metadata management practices.

Travel requirements:

Adhoc

Work schedule:

Mid Shift

Business Unit Summary

At Mondelēz International our purpose is to empower people to snack right by offering the right snack for the right moment made the right way. That means delivering a broad range of delicious high-quality snacks that nourish lifes moments made with sustainable ingredients and packaging that consumers can feel good about.

We have a rich portfolio of strong brands globally and locally including many household names such as Oreo belVita and LU biscuits; Cadbury Dairy Milk Milka and Toblerone chocolate; Sour Patch Kids candy and Trident gum. We are proud to hold the top position globally in biscuits chocolate and candy and the second top position in gum.

Our 80000 makers and bakers are located in more than80countries and we sell our products in over150countries around the world. Our people are energized for growth and critical to us living our purpose and values. We are a diverse community that can make things happenand happen fast.

Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race color religion gender sexual orientation or preference gender identity national origin disability status protected veteran status or any other characteristic protected by law.

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