Data Engineer

Data Engineer

  • IT
  • Consumer
  • Rotterdam
  • Vanaf 3 jaar werkervaring
  • 1030 views
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Requirements*

  • MSc degree in Computer Science, Data Science, or a related field
  • Over 3 years of work experience
  • Background as a Data Engineer, Software Developer, or in a similar position
  • Proficient with R, Python, C++, Java, and SQL
  • Analytics

* Research shows that while male candidates feel confident enough to apply when they meet about 60% of the requirements, female candidates only apply when they tick every box. So if this role has your name on it, but you’re not sure about the criteria, we still want to hear from you.

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Unilever Food Solutions, a division that caters to food professionals, is investing in data and technology to stimulate growth. And the Data Engineer will play a vital role in the strategy. They’ll help transform unstructured data into meaningful insights and lay the groundwork for an outstanding customer experience.

About Unilever

Unilever Food Solutions is the 2.5 billion euro business unit that caters to the professional food services market. It supplies restaurants, hotels, and hospitals, for example.

The company has been active in this segment for more than one hundred years and its major brands include Knorr, Hellmann’s, and Lipton. Unilever Food Solutions also empowers professional chefs to create delicious and nutritious meals in seventy-four countries with top-quality ingredients that enhance efficiency without compromising on taste.

“We are taking action on the issues affecting our world. We’re rethinking plastic packaging, strive to be a beacon for diversity and inclusivity, promote fairness in the workplace, want to end deforestation, and work to reduce emissions from the use of our products.” —Alan Jope, CEO of Unilever Food Solutions 

Unilever Food Solutions wants to become a leader in the future channels and leverage data to make even faster, smarter, and sharper decisions. The division has ambitious growth objectives by doubling down on data and technology. These investments should lead to segmentation and personalization of the customer experience and engagement with customers through an integrated approach that combines sales visits and digital touchpoints.

Vacancy: Data Engineer

The Data Engineer will build algorithms and prototypes that extract and transform data for predictive and prescriptive modeling to help Unilever Food Solutions expand its business. They will take data operations to the next level and play a significant role in discovering valuable insights that allow the organization to identify new leads and allocate time and resources more effectively.

The Data Engineer will report to the BI and Reporting Manager of Unilever Food Solutions, which serves about eighty thousand food professionals in Belgium and The Netherlands. Unilever’s hybrid work policy gives its people the freedom to do their work when and where they want for up to three days a week.

“We can do so much more with data. I’m looking for someone who can help us take that next step. Someone who has a positive mindset, thinks in possibilities, and gets excited by the untapped potential that is there to explore.” – Steven Van de Velde, BI and Reporting Manager for Unilever Food Solutions, Belgium

The Data Engineer will build and maintain high-quality and reliable data systems. They will turn raw data into structured datasets for reporting, analyses, and automation. This role will also shape and improve the data lake and warehouse solutions, and develop and test architectures that enable data extraction and transformation. Additionally, they will proactively look for ways to enhance and expand Unilever Food Solutions’ data collection and utilization to help the division to grow more quickly.

Collaboration is another essential part of this role. The Data Engineer will work closely with Data Scientists and Analysts, and Architects. The role will also collaborate with Unilever’s global Data Team to benefit from their expertise, advanced technology, and globally tested approach. They will manage projects from end to end, frequently interact with third parties, and work in cross-functional teams with colleagues other teams, such as Marketing and Sales.

In this position, the Data Engineer will be invited to think out of the box, develop ways to get the most out of available data, and implement new methods and structures to make it happen. That’s what makes this an exciting challenge for a data professional who stays up-to-date with the latest technological advancements and knows how organizations can leverage them to expand and grow their business.

 

Interested?

Unilever is working with Top of Minds to fill this vacancy.
To express your interest, please contact Sandro Schapals at Sandro.Schapals@topofminds.com .

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Sandro Schapals Solliciteer

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