At a Glance
- Tasks: Manage and optimise data for supply chain projects, ensuring smooth information flow.
- Company: Join Ferrero, a diverse and inclusive global leader in the food industry.
- Benefits: Enjoy competitive pay, career growth, and a supportive work environment.
- Other info: Collaborative culture with opportunities to work on innovative AI projects.
- Why this job: Make a real impact by leading data automation and improving decision-making processes.
- Qualifications: Experience in data management and strong analytical skills required.
The predicted salary is between 36000 - 60000 € per year.
For our Global Headquarters, we are looking for a Data Manager, bringing your interest in data to help shape and sustain a reliable foundation for supply chain projects. Thanks to your structured approach, you will set up and maintain the data elements that allow information to flow smoothly across activities and tools.
You will take care of keeping data consistent, clean, and easy to access, supporting broader initiatives. Thanks to your involvement, teams will rely on datasets that are dependable for analysis, reporting, and project work. You will work closely with stakeholders to make sure the data environment supports informed decisions at every stage. Thanks to your understanding of supply chain needs, you will help create conditions where information is clear, usable, and aligned with ongoing and future objectives.
Project Leadership for Data AutomationYou will lead the data automation project planned for the coming fiscal years, coordinating with IT, business teams, and external partners to support smooth data flows. Thanks to your ability to weigh trade-offs and understand how each deliverable interacts with others, you will develop and guide project activities while keeping both technical and business perspectives in mind.
Data Maintenance and Cross-Project DependenciesYou will regularly review datasets to detect and correct errors, duplicates, or outdated entries, using automated checks to spot issues such as missing supplier codes or incorrect site names, and build new flows to integrate data. Thanks to your broad view of ongoing initiatives, you will monitor how changes to data structures influence integrations or reports in other projects, helping IT manage these interactions effectively.
Continuous Improvement, Training, and Ethical UseYou will stay informed about new data management policies and share good practices with teams through training and ongoing support, ensuring colleagues feel confident working with the data. Thanks to your careful handling of information, you will apply relevant regulations and internal guidelines, managing access rights and protecting confidentiality when dealing with sensitive topics such as new sites or product launches, while keeping usability in balance.
Ownership, Collaboration, and Data StrategyYou will take responsibility for safeguarding data accuracy, security, and proper usage, anticipating potential risks and coordinating with teams to reduce their impact. Thanks to your collaborative approach, you will translate business needs into data requirements, communicate insights, and develop action plans linked to data quality. You will also contribute to projects involving AI, promoting responsible practices and supporting the organization’s objectives linked to AI awareness and literacy, with the intent to help shape a forward-looking data strategy.
Thanks to your experience in Operations, Supply Chain, Supply Chain Finance, Supply Chain IT or Planning you will navigate complex topics with ease and bring a practical understanding of how these areas connect. You will also draw value from any background supporting logistics or development projects, as it will help you adapt quickly to ongoing initiatives.
Thanks to your familiarity with data management, governance, and integration, you will contribute to improving the consistency and quality of the information used across teams. You will rely on your strong Excel skills to handle data manipulation, analysis, and reporting, and your exposure to tools such as Coupa (Llamasoft), ETL solutions, or data-visualization platforms will help you work efficiently with technical and business stakeholders.
Your critical thinking, problem-solving mindset, attention to detail, and analytical approach will support clear decision-making. With your communication and collaboration abilities, you will engage confidently with colleagues and contribute to a constructive working environment.
Ferrero is committed to building a diverse and inclusive culture in which all employees feel welcomed and appreciated and have the same opportunities. We believe all our people are equally talented in their own way. In nurturing the curiosity and natural abilities of our employees, we provide them, generation after generation, the means to succeed personally and professionally, enabling them to craft their journey at Ferrero. The diversity of our talents is what makes our work environment multicultural, innovative, and highly rewarding.
1. Apply: Complete your online application, upload your CV and include brief cover letter to help us understand your experience and interests.
2. Assess: Our HR team will arrange a phone or video interview if we feel your qualifications are a good match for the job.
3. Interview: If the first interview goes well, you’ll be invited to speak with a Ferrero manager to assess your competencies, technical aptitude and fit within our dynamic organization.
SC Data Engineer employer: Ferrero International S.A.
Ferrero is an exceptional employer that fosters a diverse and inclusive culture, ensuring all employees feel valued and empowered to succeed both personally and professionally. Located at our Global Headquarters, the SC Data Engineer role offers a collaborative work environment where you can lead innovative data automation projects and contribute to a forward-looking data strategy, all while benefiting from continuous training and growth opportunities. With a commitment to nurturing talent and promoting ethical data practices, Ferrero provides a rewarding workplace that encourages creativity and teamwork.
StudySmarter Expert Advice🤫
We think this is how you could land SC Data Engineer
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or at industry events. A friendly chat can give you insider info about the company culture and maybe even a referral!
✨Tip Number 2
Prepare for your interviews by researching common questions for Data Engineers. Practice your answers, but keep it natural. We want you to sound confident and knowledgeable!
✨Tip Number 3
Show off your skills! Bring examples of your past work or projects that relate to data management and automation. This will help you stand out and demonstrate your hands-on experience.
✨Tip Number 4
Don’t forget to follow up after your interviews! A quick thank-you email can leave a lasting impression and show your enthusiasm for the role. Plus, it keeps you on their radar!
We think you need these skills to ace SC Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the SC Data Engineer role. Highlight relevant experience in data management, supply chain, and any tools you've used that align with our needs. We want to see how your background fits into our world!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data and how you can contribute to our projects. Keep it concise but engaging – we love a good story!
Showcase Your Skills:Don’t forget to highlight your technical skills, especially in Excel and any data visualisation tools. We’re looking for someone who can handle data manipulation and analysis like a pro, so let us know what you’ve got!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets to the right people. Plus, it shows us you’re serious about joining our team!
How to prepare for a job interview at Ferrero International S.A.
✨Know Your Data Inside Out
As a SC Data Engineer, it's crucial to have a solid grasp of data management principles. Brush up on your knowledge of data governance, integration, and the tools mentioned in the job description, like ETL solutions and data-visualisation platforms. Be ready to discuss how you've used these in past projects.
✨Showcase Your Problem-Solving Skills
Prepare examples that highlight your critical thinking and analytical abilities. Think of specific instances where you identified data issues and implemented solutions. This will demonstrate your proactive approach and ability to handle complex topics effectively.
✨Communicate Clearly and Confidently
Since collaboration is key in this role, practice articulating your thoughts clearly. Be prepared to explain technical concepts in a way that non-technical stakeholders can understand. This will show your ability to bridge the gap between technical and business perspectives.
✨Understand the Bigger Picture
Familiarise yourself with the supply chain processes and how data impacts decision-making at every stage. During the interview, express your understanding of how data quality influences project outcomes and be ready to discuss how you would contribute to ongoing initiatives.