Data Engineer

Position Overview

We are looking for a Data Engineer to join our EMEA IT team in Rotterdam. Reporting to the Head of Data Science, you will play a key role in developing, maintaining and optimising our data infrastructure and pipelines, helping create reliable data foundations for analytics, data science and wider business decision-making.

You’ll work closely with Data Science and stakeholders across the business, integrating data from multiple sources and making sure it is accessible, well-structured and ready to support advanced analytics and machine learning.

What You’ll Be Doing

• Designing, developing and maintaining scalable data pipelines across multiple internal and external data sources.
• Developing and optimising ETL/ELT processes and automated data workflows.
• Building and maintaining reliable data models and structured datasets for analytics and data science.
• Maintaining and improving data platforms, databases, data warehouses and cloud-based services.
• Implementing data validation, monitoring and quality controls to improve data accuracy and reliability.
• Working closely with Data Science to prepare and optimise datasets for advanced analytics and machine learning.
• Troubleshooting pipeline failures, data integrity issues and performance challenges.
• Collaborating with technical and business stakeholders to translate data requirements into effective engineering solutions.
• Continuously improving our data infrastructure, tooling and engineering practices.

What We’re Looking For

• A Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Engineering, Data Science, Information Systems or a related technical discipline. Equivalent professional experience may also be considered.
• Typically 4–6 years of relevant experience in data engineering, software engineering or a closely related technical role.
• Strong programming skills in Python and SQL.
• Hands-on experience developing and managing ETL/ELT pipelines and automated data workflows.
• Experience with relational databases, data warehousing and data modelling.
• Familiarity with cloud-based data platforms such as AWS, Azure or Google Cloud.
• Experience working with APIs and integrating data from different systems and sources.
• Experience with version control tools such as Git.
• Familiarity with orchestration and workflow automation tools such as Airflow, Dagster or similar.
• A good understanding of data quality, governance, security and modern data engineering practices.
• Strong analytical and problem-solving skills with the ability to collaborate across technical and business teams.

Why Hunter Douglas?

• Direct impact on product cost, value, and profitability
• Work on physical, high-volume products used by millions across Europe
• International collaboration within a global, product-driven organization

If this sounds like you, we would love to hear from you. Please apply by submitting your CV.

At Hunter Douglas, you’ll be part of a forward-thinking team committed to excellence, with the opportunity to build the data foundations that support smarter, data-driven decision-making across our business.