Senior Data Engineer - Sassenheim, Nederland - AkzoNobel

Beschrijving

We've been pioneering a world of possibilities to bring surfaces to life for well over 200 years. As experts in making coatings, there's a good chance you're only ever a few meters away from one of our products. Our world class portfolio of brands – including Dulux, International, Sikkens and Interpon – is trusted by customers around the globe. We're active in more than 150 countries and have set our sights on becoming the global industry leader. It's what you'd expect from the most sustainable paints company, which has been inventing the future for more than two centuries.

In Short

As a member of the data science team positioned within our digital center of excellence at the heart of our manufacturing industry, you will be integral to our mission of becoming leaders in world-class supply chain management. Leveraging cutting-edge technologies within our Azure Cloud computing environment, you'll contribute to revolutionizing industrial practices through innovative digital, AI and data-driven solutions.

Working alongside a multidisciplinary team, you'll collaborate with experts in IT, end-to-end supply chain management, engage in co-creation with external (software) suppliers, and draw from a diverse talent pool spanning engineering, cloud computing, and supply chain analytics.

Within our culture of technology-driven problem-solving, adaptability, and collaboration, your contributions will drive meaningful change and knowledge-sharing across the organization. Together, we'll harness the power of data to deliver tangible and lasting impact, positioning our company as a leader in the global manufacturing landscape.

Job Purpose

On a global scale, we're looking for an experienced Data Engineer to co-deliver solutions on:

• Collect and translate business requirements from the various stakeholders (Data Scientists, Data Visualizers, Product Owners, IT) into technical requirements, systems, and solutions.
• Design, develop and document the technical solution: creation of data pipelines for data transfer between different storage services up to advanced data models for supply chain analytics.
• Maintenance of the solution: Actively monitor and manage the system/ solutions performance in close contact with the data architect. Manage cloud computing cost and ensure performant processing in the world of big data.

The Role and its Responsibilities

You will perform activities such as:

• Data engineering – extract and process, cleanse, standardize and validate the integrity of data.
• Data modeling – drive innovation initiatives to explore and implement emerging tools & technologies, and support predictive modeling, optimization, and decision-making processes.
• Product owner – responsible for defining and driving the product vision and strategy, collaborating with stakeholders and cross-functional teams, prioritizing and managing the product backlog, ensuring timely delivery of high-quality products, and gathering feedback for continuous improvement and innovation.
• Validate achieved process performance with meaningful KPIs.
• Identify Continuous Improvements within current tools/systems and use cases.
• Closely work with Product Owners, Data Scientists and Data Architects to build robust data infrastructure.
• Foster a culture of knowledge sharing and mentorship, where employees are encouraged to expand their expertise and contribute to the collective growth of the team.
• DevOps/ Agile WoW.

Job Requirements

• Pro-active and result driven, while being a strong team player.
• Strong attention to detail. Be able to work with large datasets, often with technical names, spotting potential errors on the data, and without losing focus of the task at hand, and key deliverables.
• Basic project management skills and understanding and affinity of Agile working.
• Good (written and oral) communication skills, strong command in English.
  
  

Functional Expertise

• MSc or PhD in Industrial Engineering, Computer Science, Data science, Mathematics, Applied physics, Statistical Science, Supply Chain Management or similar.
• 4+ years of relevant experience in the field.
• Advanced programming knowledge of Scala, Python, PySpark, SQL. Working experience in ERP systems, R, Azure, Alteryx, PowerBI is nice to have and the ability to quickly expand skills and master new systems/tools. Thorough understanding of the Azure cloud environment is a plus.
• Experience in Lean Manufacturing, Advanced Planning Systems (APS), ERP systems, Integrated Business Planning or demonstrated skills in supply chain management is considered a pre.
• Creating Functional and Technical design documentation, Onboarding and Training materials in specialized data engineering and supply chain topics.
  
  

What do we offer

Of course, it's a two-way street. This means that we offer not only a competitive salary but also believe in a healthy work-life balance. This is what you can expect from us:

• 46 vacation days
• You will be enrolled in our pension scheme
• We value personal growth, which means that there will be a lot of opportunities to develop your career either vertically or horizontally.
• Training: Microsoft Certification, Language Courses, Agile Courses
• Possibility/ flexibility to partially work from home, including a budget for office supplies
• Many fun company events are planned by Young AkzoNobel (YAN) like drinks, ski trips, Christmas parties, museum visits, concerts, and many more

If you're passionate about driving innovation and shaping the future of supply chain management through cutting-edge digital solutions, we invite you to join our team. Together, we will continue to push the boundaries of what's possible and make a meaningful impact on our industry and beyond.

Even if you don't meet every requirement, we encourage passionate individuals with a drive for learning and growth to apply, as we believe in nurturing talent and fostering development within our team.

AkzoNobel is consistently rated as one of the top employers in The Netherlands. We welcome your online application via AkzoNobel Careers. Only online applications will be considered. If you have any questions, please contact David van Gelderen, Talent Acquisition Partner. Or send an email to

The recruitment process includes selecting the best applications received through the system, interview rounds and further steps. An online assessment might be part of the selection process.

An employment screening may be part of the selection process.

Agency or sales calls are not appreciated

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status.

Requisition ID: 30975