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 developing and maintaining the existing R&D data infrastructure, whilst exploring and implementing new technologies/capabilities to enhance efficiency. You will work with various stakeholders to determine how to use business data for business solutions/insights.
How you will contribute
1. Partner with R&D's Lead Data Engineer and cross-functional stakeholders to understand data needs, and design and implement robust data engineering solutions for R&D.
2. Translate business requirements into scalable and reusable data model.
3. Provide guidance and support to R&D on best practices for data engineering and data management.
4. Stay updated on emerging trends and technologies in data engineering, sharing insights and best practices with relevant stakeholders.
5. Proactively identify opportunities for process improvement and contribute to overall organisational efficiency and productivity.
6. Collaborate with IT to:
1. Assess and optimise the performance of R&D's data pipelines, ensuring efficiency and scalability.
2. Ensure that R&D data engineering solutions adhere to organisational architecture and strategies.
3. Identify data assets/systems, explore the data to and create MVPs presenting business value for commercialization.
4. Support the Data Scientists within the Digital CoE with the data engineering and exploration.
5. Monitor the performance of implemented data engineering solutions and make necessary adjustments to optimise effectiveness.
7. Research, evaluate and, where possible, integrate advanced data engineering tools and platforms to enhance data processing and accessibility within R&D.
8. Integrate new data engineering solutions seamlessly into existing systems, ensuring compatibility and scalability.
What you will bring
A passion for making better use of our data. A desire to drive your future and accelerate your career and the following experience and knowledge:
1. Understanding of data architecture and data modelling principles.
2. Proficiency in using data engineering to build and optimise data pipelines and workflows.
3. Technical experience in best-in-class data engineering practices.
4. Experience deploying new data engineering approaches in a complex and highly matrix organisation.
5. Expertise in using advanced data engineering techniques to create business impacts.
Education / Certifications:
A BS or MS degree in a technical field, including Data Science, Mathematics, Computer Science, Physics, etc.
Job specific requirements:
1. At least six years of experience in data engineering, preferably within a similar function or industry.
2. Experience with data engineering tools and platforms such as Spark, Databricks and cloud-platforms like AWS, Azure or Google Cloud.
3. Experience with data modelling tools, preferably Erwin.
4. Excellent written and verbal communication skills, interpersonal and collaborative skills, and the ability to communicate clearly to technical and non-technical audiences.
5. Strong project management skills with the ability to prioritise tasks and manage timelines effectively.
6. Ability to work independently and collaboratively in a dynamic environment.
7. Analytical mindset with a keen attention to detail and problem-solving skills.
8. Commitment to continuous learning and staying updated on industry trends and best practices.
9. 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. 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 Analytics & Modelling Analytics & Data Science
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