Data Engineer
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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 – Unilever’s division that caters to food professionals – is investing in data and technology to stimulate growth. The Data Engineer will play a vital role in realizing these ambitions by turning unstructured data into meaningful insights and laying the groundwork for a great customer experience.
About Unilever
Unilever Food Solutions is the 2.5-billion-Euro business unit of Unilever that caters to the professional food services market, selling to, e.g., restaurants, hotels, and hospitals. The company has been active in this segment for over a hundred years and is home to renowned brands, such as Knorr, Hellmann’s, and Lipton. Unilever Food Solutions helps professional chefs create delicious and nutritious meals in 74 countries with top-quality ingredients that increase efficiency without compromising on taste.
“We are taking action on the issues affecting our world. We are rethinking plastic packaging, strive to be a beacon for diversity and inclusion, promote fairness in the workplace, want to end deforestation, and work on reducing the emissions from the use of our products.” – Alan Jope, CEO
Unilever Food Solutions wants to lead in the channels of the future and leverage data to make even faster, smarter, and sharper decisions. The division has ambitious growth objectives that it plans to realize by doubling down on data and technology. These investments should lead to, e.g., 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 grow 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, e.g., identify new leads and allocate time and resources more effectively. The Data Engineer will report to the BI & Reporting Manager of Unilever Food Solutions, a division that serves about 80 thousand food professionals in Belgium & Netherlands. Unilever has adopted a hybrid work policy giving 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 & Reporting Manager at 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, e.g., reporting, analyses, and automation. The Data Engineer 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 grow the business more rapidly.
Collaboration is another essential part of the role. The Data Engineer will work closely together with Data Scientists, Data Analysts, and Architects and collaborates with Unilever’s global Data Team to benefit from their expertise, advanced tech, and globally tested approach. The Data Engineer will manage projects from end to end, frequently interact with third parties, and work in cross-functional teams with colleagues from, among others, 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 the available data, and implement new methods and structures to make that happen. That makes this an exciting challenge for a data professional who stays up to date with the latest technological advancements and understands how organizations can leverage those to build 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.