Data Engineer Benelux
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Unilever is looking for a Data Engineer Benelux
Reports to: Business Intelligence Lead
Location: Rotterdam, the Netherlands or Brussels, Belgium
Local employment conditions apply, full-time
Salary range: €64,800 - €81,000 gross per year, including holiday allowance and based on relevant experience.
About Unilever Food Solutions
Unilever Food Solutions (UFS) is a global foodservice business focused on serving chefs and professional kitchens. Operating across more than 70 countries, our purpose is to free chefs to love what they do.
We have an ambitious growth strategy towards 2030, focused on delivering superior products, becoming a leader in AI-powered customer experience, and using data and technology to better understand and serve our customers. From identifying emerging culinary trends through our Future Menus Report to developing innovative solutions for chefs, we aim to stay ahead of a rapidly evolving foodservice industry.
At UFS, you’ll work in an entrepreneurial environment built on speed, simplicity, trust and ownership. Our teams are empowered to work end-to-end, collaborate across functions and turn ideas into real business impact.
If you’re excited by the opportunity to use data and technology to help shape a growing global B2B business, we’d love to hear from you.
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. Key interfaces: Central & Local Data Teams (BNX), MCO Digital Team (BNX).
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 (c) 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 consistentlyLooks 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 teamsEnsuring 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.What you will need to succeed
Key Skills
Strong communication skillsTeam Player that can work cross-functional (both with marketing and sales-oriented roles)Curious about the latest developments in data and a clear understanding of how organizations can leverage these opportunitiesThe ability to work comfortably in a collaborative settingTechnical expertise with data models, data mining, and segmentation techniquesHands-on experience with SQL database designGreat numerical and analytical skillsExpert proficiency in Python, C++, Java, R, and SQL.Familiarity with Hadoop or suitable equivalent.Excellent analytical and problem-solving skills.A knack for independence and group work.Scrupulous approach to duties.Capacity to successfully manage a pipeline of duties with minimal supervision.You know the latest data security measures and apply them rigorously, securely managing and storing data to protect it from loss or theftFluent in English and Dutch. French is a plus.Relevant Experience
MSc in Computer Science, Data Science, Management Information Systems, Statistics, Analytics or any other related field5+ years of working experienceProven track as a Data professional in high-paced, executive environmentsExperience in Data science tools ( 'R')You have a background as a data engineer, software developer or similar
Desirable
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