Hunter Douglas
From Hunter Douglas's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
Position Overview We are looking for a Data Engineer to join our EMEA IT team in Rotterdam.
Hunter Douglas is the world’s leading manufacturer of window coverings and a major manufacturer of architectural products. We are a brand that you know and trust. With more than 100 years of innovation, we’ve defined our industry with proprietary products that deliver revolutionary style and functionality and can be found in millions of homes and commercial buildings globally.
We are searching for candidates that are driven, intelligent, creative, and entrepreneurial. By offering challenging and accelerated opportunities for growth, powered by a shared hunger for success, we create a space for your career to thrive. In return for your expertise, we are committed to providing competitive and robust total compensation and benefit packages to ensure you feel valued. Our dream is to become the fastest growing, most loved, window covering company in the world. What’s yours?
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.
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.
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.
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.
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