Job Specifications
Note: Deadline for applying is 23.59 the day before the Job Posting End Date.
UNILEVER IS LOOKING FOR A Data Engineer
Location: Citydox, Belgium /Hofplein, Netherlands
Local conditions apply
For the recruitment of this position, we would like to emphasize that local conditions apply to the position and for this vacancy in principle we will consider candidates based in the set locations. If you are based outside of these locations and you are interested to apply, please feel free to do so but at this stage we will not take your application forward. We will only consider your application if a decision is made to also recruit outside of the set locations.
Business Context and Main Purpose of the Job
Unilever Food Solutions (UFS) is the 2nd largest Business Unit of Unilever, is one of the 3 Power brands of the Foods Business Group, and a global market leader in Food Service. We are an independent Global Business Unit that operates in over 76 countries, and employs ~4000 employees. We have a unique B2B business model focused on serving chefs and our purpose is to free them to love what they do.
We at UFS have a bold and clear ambition and strategy in place for 2030 with a bold ambition on turnover and profitability, by being the best solution provider to our growing operator base. We plan to do this via a product first focus on superiority, by becoming the leader in AI powered Customer experience and by nurturing a Winning culture. We have had a history of delivering with excellence and resilient performance in the past few years. We also strive to stay 3 steps ahead in the industry. For example, our Future Menus Report identifies emerging culinary trends, making us a trendsetter for inspiring innovative solutions for chefs worldwide.
We have a culture of caring deeply not just for our business but also for our people. We foster an entrepreneurial culture built on speed, simplicity, trust, and a deep hunger to grow. Our people thrive on their roles being empowered and end to end - across all functions. We also invest heavily in building future skills and leaders. Our People agenda of Accelerate-Grow-Thrive consistently helps us lead in employee engagement, with scores exceeding Unilever scores across all dimensions and being one of the most engaged teams at Unilever.
Here, you will continuously learn, unlearn, and relearn, challenging yourself to accelerate your development in an end-to-end business and in end-to-end roles.If you're dreaming of contributing to Unilever's 2nd largest Business unit, a fast-growing business, where you're empowered so you can play to win and thrive as part of One Team with One Goal, then come and join us!
Main Purpose Of The Job
The Data Engineer builds and maintains data systems. They construct datasets that are easy to analyse and support company requirements. They implement methods to improve data reliability and quality. They combine raw information from different sources to create consistent and machine-readable formats. They also develop and test architectures that enable data extraction and transformation for predictive or prescriptive modelling.
Main Accountabilities
Will turn raw data (SSD, Digital and other sources) into structured data so it can be used for other purposes, is also in charge of shaping and improving the Global Data Lake (currently UDL) and Data Warehouse solution
Will be the owner of structuring data in and end-to-end way, so it can be used to (a) set up reporting, (b) perform analyses to improve business decisions and (3) automate recurring processes and tasks
Will build algorithms and prototypes that can be used to extract and transform data for predictive or prescriptive modelling, as well as grow our business structurally
Will proactively look for ways to enhance data quality and reliability to increase business productivity, as well as hit our business goals more consistently
Looks for ways to collect additional data points that can help us grow the business more quickly
Will collaborate intensely with data scientists, data analysts and architects in the central and local teams
Ensuring that your work remains backed up and readily accessible to relevant coworkers.
Remaining up-to-date with industry standards and technological advancements that will improve the quality of your outputs.
Key Interfaces
Central & Local Data Teams (BNX)
MCO Digital Team (BNX)
Key Skills
Strong communication skills
Team Player that can work cross-functional (both with marketing and sales-oriented roles)
Fluent English communication skills
Curious about the latest developments in data and a clear understanding of how organizations can leverage these opportunities
The ability to work comfortably in a collaborative setting
Technical expertise with data models, data mining, and segmentation techniques
Hands-on experience with SQL database design
Great numerical and analytical skills
Expert proficiency in Python, C++, Java, R, and SQL.
Familiarity with Hadoop or
About the Company
Be part of the world’s most successful, purpose-led business. Work with brands that are well-loved around the world, that improve the lives of our consumers and the communities around us. We promote innovation, big and small, to make our business win and grow; and we believe in business as a force for good. Unleash your curiosity, challenge ideas and disrupt processes; use your energy to make this happen. Our brilliant business leaders and colleagues provide mentorship and inspiration, so you can be at your best.
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