Senior Data Engineer

Location: Rotterdam

*** Mention DataYoshi when applying ***

Senior Data Engineer – Middle Europe

Location: Benelux

Reports to: Data & Analytics Lead

Start Date: As soon as possible



Unilever is digitally transforming to increase our ability to develop cutting-edge analytics and as a result deliver top-line growth. Our mission is to create a digital-first culture, evangelize data-driven decision-making and leap ahead of our competitors in everything that we do.

Our Data & Analytics function will lead the way for Unilever to becoming ‘data intelligent’. We will consistently aim to generate incremental sales and profit by delivering Data & Analytics solutions that meet the needs of our consumers, customers, and employees. In doing so, we will be working closely with both local and regional stakeholders to ensure that local business needs are met while global scale is being leveraged.

There are five major themes to the Data & Analytics strategy:

Driving Unilever to assisted and predictive decision-making. The future is about assisted decision-making via machines (AI, Cognitive Computing, Machine Learning) unlocking insights from a vast amount of consumer, customer and internal data and presenting these in a way that is simple and actionable for our business teams. Delivering intelligent systems at scale. Powering all parts of our business through Data & Analytics tooling. Building the right applications and delivering the right insights to enable our business teams to move faster, be more accurate and make more forward-looking decisions. Making data a true asset. Improve access to high quality data, business intelligence and data science for every part of Unilever and training our organization to find, interpret and use Data & Analytics to create value. Providing world-class Information. One version of the facts. Continued excellence in the provision of information, development of diagnostics and delivery of insights to focus attention when and where it matters. Winning disproportionately in Middle Europe. We believe that the best way to move the needle for Unilever via Data & Analytics is to deliver initiatives that make a significant impact on our business results and that drive our competitive advantage in Middle Europe.

The Data & Analytics Middle Europe team is a brand-new team that will lead the Data & Analytics journey for DACH, Nordics, Italy, and the Benelux (Middle Europe). The team consists of a group of data professionals whose purpose it is to set up a cloud-based data infrastructure, answer core business questions via cutting-edge dashboards, tackle complex challenges with advanced analytics and digitally transform the wider organization. Our team is a combination of business translation, data engineering, data analysis and data science profiles who are all leveraging a cloud-based data platform to add value.

Your role in our team will be that of Senior Data Engineer.

Your Role:

  • Enabling the democratization of data, delivery of products and the provision of insights

  • Adding value by delivering Data & Analytics solutions for Supply Chain, Sales, Finance and Marketing

  • Leading the data engineering team and planning the engineering work leveraging agile (Scrum)

  • Designing and implementing the optimal data strategy that helps achieve our growth ambitions

  • Engaging with the data & analytics lead as well as the business to derive the technical requirements of the planned solutions in addition to being the first point of contact for all engineering matters

  • Building the infrastructure required for the extraction, transformation, and loading of data from a wide variety of data sources using a selection of coding languages and cloud technologies

  • Continuously improving the data foundation that underpins all our products and advanced analytics initiatives

  • Strengthening the data governance by implementing a system of rules, practices, and processes to improve data quality, information security and compliance of our Azure platform

  • Managing the costs linked to our data & analytics activities and seeking ways to further optimize these costs

  • Improving the performance of our underlying data model by optimizing tables, relationships, and DAX

  • Overseeing the ingestion and provision of data in the Universal Data Lake for our Middle Europe business

  • Supporting the decision-making to purchase new data sets or discontinue existing data sets

  • Prioritizing service requests ranging from access, data quality, bugs in products, new features, etc.

  • Working with the Microsoft Azure platform and utilizing Databricks (e.g., PySpark, Delta Lake), Data Factory, DevOps, Logic Apps, ADLS and Blob Storage

  • Leverage software engineering best practices such as version control, continuous integration and test-driven development including Azure DevOps and Git

  • Creating and owning the technical documentation underlying our environment, data sources and code

Skills & Experience:

  • A bachelor’s or master’s degree in computer science, statistics, econometrics, economics, or business

  • Minimum 4 years of working experience in data engineering

  • Experience with the Azure platform (Databricks, Data Factory, DevOps, Analysis Service, ADLS)

  • Proven familiarity with the implementation of data governance (data quality, access mgt., security)

  • Proven familiarity with version control, continuous integration, and test-driven development via DevOps

  • The ability to clearly articulate technical work to non-technical stakeholders

  • Experience with managing a team or contractors

  • Experience with relational databases (e.g., SQL)

  • Working knowledge of data modeling with DAX

  • Working knowledge of SQL, Python and Spark

Key Interfaces:

  • Leads a small engineering team of 3.0 FTE

  • Indirectly manages external engineering contractors

  • Business Teams: Category Mgt., Net Revenue Mgt., Supply Chain, Consumer Marketing Insights

  • Data & Analytics Teams: Local Data & Analytics, Regional Data & Analytics, Information Security, Architecture, Landscape, Data Expertise

  • 3rd Parties: Engineering Consultancies, Data Suppliers, Azure related 3rd Parties

Why you should work for Unilever:

  • Unilever is the place where you can be yourself and bring your purpose to life with the work that you do – creating a better business and a better world. We offer an exciting & dynamic work environment where you can make things happen. Furthermore, we offer some great reward and benefits!

  • Attractive total remuneration package; excellent company pension, bonus, share scheme

  • Flexible cross-disciplinary career opportunities and a wealth of training opportunities & wellbeing resources whenever and wherever

  • Plenty of company-paid holidays to further ensure your work-life balance is maintained

  • We encourage an inclusive culture, which comes to life with interchangeable public holidays, paid paternity leave of 6 weeks and our transgender policy

  • At the moment, we work from home. We will ensure you are well equipped for this. Once back to work, you can enjoy our tasty canteen with food prepped with own products

  • Informal culture and being the first one trying our new products

Excited about the role?

To apply, you must do so online. Please do not forget to upload your CV and a motivation letter. Your application will be reviewed against our requirements and we will be in touch shortly after the closing date to provide you with an update on the status of your application.

Please note this is a Direct Search led by Unilever. Applications from agencies will not be accepted, nor will fees be paid for unsolicited CVs.

*** Mention DataYoshi when applying ***

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