HR Data Engineer & Visualization Manager

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 provide technical contributions to the data science process. In this role, you are the internally recognized expert in data, building infrastructure and data pipelines/retrieval mechanisms to support our data needs

How you will contribute

You will:

• Operationalize and automate activities for efficiency and timely production of data visuals
• Assist in providing accessibility, retrievability, security and protection of data in an ethical manner
• Search for ways to get new data sources and assess their accuracy
• Build and maintain the transports/data pipelines and retrieve applicable data sets for specific use cases
• Understand data and metadata to support consistency of information retrieval, combination, analysis, pattern recognition and interpretation
• Validate information from multiple sources.
• Assess issues that might prevent the organization from making maximum use of its information assets

What you will bring

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

• Extensive experience in data engineering in a large, complex business with multiple systems such as SAP, internal and external data, etc. and experience setting up, testing and maintaining new systems
• Experience of a wide variety of languages and tools (e.g. script languages) to retrieve, merge and combine data
• Ability to simplify complex problems and communicate to a broad audience

Join our Mission to Lead the Future of Snacking with People Analytics & Insights

Forward-thinking companies are tapping into the vast stores of data at their disposal to develop and grow one of their greatest assets – their people. People Analytics is transforming how we work in HR by bringing together perspectives from statistics, generative AI, data and computer science, marketing research, economics, psychology, and sociology.

Our group is where you work with an interdisciplinary and international team of colleagues and use your past experiences and knowledge to contribute in novel ways to help Mondelez build a work environment where talent thrives.

You will have opportunities to work with our best-in-class team in projects using LLMs, model in Python, have a say in designing our DataBricks/PySpark ecosystem for people data, and visualizing your analysis with Power BI, Jupyter Notebooks, and even LaTeX.

The Role:

As a HR Data Engineer - Data Visualization Manager, you will be responsible for designing, developing, and maintaining robust data pipelines and visualization solutions that empower our business stakeholders to make informed decisions based on data-driven insights. You will lead a team of data engineers, providing technical guidance, mentorship, and leadership to ensure the efficient and effective delivery of data-driven solutions.  You will play a pivotal role in bridging the gap between data and insights, translating complex data into easily digestible and actionable visual narratives.

Responsibilities:

• Design, develop, and maintain efficient and scalable ETL (Extract, Transform, Load) pipelines for ingesting, transforming, and loading data from various sources (e.g., databases, APIs, cloud storage) into data warehouses and data lakes.
• Develop and maintain data models, ensuring data quality, integrity, and consistency across all data sources.
• Implement data governance policies and procedures to ensure data security, privacy, and compliance with industry regulations.
• Optimize data pipeline performance and efficiency through code refactoring, performance tuning, and utilizing best practices.
• Troubleshoot and resolve data pipeline issues, ensuring timely and accurate data delivery.
• Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and translate them into compelling visualizations/ dashboards that provide insights and support data-driven decision-making.
• Develop and maintain interactive dashboards and reports using data visualization tools like Tableau, Power BI, that meet specific business needs.
• Stay abreast of the latest trends and best practices in data visualization, proactively researching and implementing new techniques and tools to enhance storytelling capabilities.
• Lead and mentor a team of data engineers, providing technical guidance, performance feedback, and career development opportunities.
• Contribute to the hiring and onboarding of new team members, ensuring they are effectively integrated into the team and equipped for success.
• Set team goals, manage workload, and prioritize projects to ensure efficient and effective delivery of data solutions.
• Foster a collaborative and supportive team environment that encourages knowledge sharing, innovation, and continuous learning.

Qualifications:

• 7-10 years of solid experience in data engineering with a proven track record of building and maintaining scalable ETL data pipelines.
• Strong proficiency in programming languages such as Python, Java, Scala, and SQL.
• Expertise with different ETL processes, including data cleaning, transformation, and loading.
• Experience with data warehousing technologies (e.g., Snowflake, Redshift, BigQuery) and data lakes (e.g., AWS S3, Azure Data Lake).
• In-depth knowledge of data pipeline tools and frameworks (e.g., Spark, Kafka, Airflow, Flink).
• Experience in applying generative AI techniques using open-source LLMs to solve for use-cases in people analytics.
• Strong Expertise in data visualization tools and techniques, with experience using tools like Tableau, Power BI, or D3.js.
• Ability to create compelling and impactful data visualizations that effectively communicate complex data insights.
• Strong communication and collaboration skills, with the ability to translate technical concepts into actionable insights for non-technical audiences.
• Proven leadership skills, with experience managing and mentoring a team of data engineers.
• Excellent communication and interpersonal skills, with the ability to build strong relationships with team members, stakeholders, and clients.
• Ability to effectively delegate tasks, provide constructive feedback, and motivate team members to achieve shared goals.

Bonus Points:

• Experience with machine learning or AI technologies.
• Experience with cloud platforms (e.g., GCP, AWS, Azure) and cloud-based data services.
• Experience with prompt engineering to solve for use cases.
• Experience with data governance and security practices.
• Relevant certifications (e.g., Google Cloud Professional Data Engineer, Databricks/PySpark Certification, AWS Certified Solutions Architect, Tableau /Power BI Certified Professional).

No Relocation support available

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 life's 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 80,000 makers and bakers are located in more than 80 countries and we sell our products in over 150 countries 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 happen—and 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.

Job Type

Regular

Data Science

Analytics & Data Science